Omprakash N: Please go ahead do that.
Uday Kumar Javangula: Yeah.
Uday Kumar Javangula: OK, so as I mentioned, so you can convert all your existing data into unstructured data like it is Excel sheets or a spreadsheet or any word documents and Microsoft documents or text files.
Uday Kumar Javangula: Anything you can convert, including video and PDF files into a unified index.
Uday Kumar Javangula: So on top of it, you can perform a search even while applying the search.
Uday Kumar Javangula: Also we we are segregating based on department wise user groups visibility and security control also enabled so that only specific user can see those information and for onboarding all the users we have this admin module where you can monitor entire usage of the system.
Uday Kumar Javangula: You can onboard the multiple users and also see the usage report of entire system.
Uday Kumar Javangula: How many users are login?
Uday Kumar Javangula: Everything like end to end information.
Uday Kumar Javangula: So we are providing basic at each module we have the analytics so analytics will show how the knowledge is being growing on which state is rainy knowledge silos that are available or able to expire or we need to define any modifications on it.
Uday Kumar Javangula: Through this analytics, we can get to know most of the information.
Uday Kumar Javangula: So now I'll perform some search here.
Uday Kumar Javangula: So using this search we can we are providing a search interface.
Uday Kumar Javangula: The simple user interface with the keywords that you can perform and you can use any voice.
Uday Kumar Javangula: That's also we can use it battery replacement, so as soon as we search something so it will auto convert the voice to text and perform search against the content that is being indexed.
Uday Kumar Javangula: So right now I'm just showcasing one of the automotive data that we indexed and showcasing on the if the service executive repairing a car, right?
Uday Kumar Javangula: If they need to perform some information, there will be huge service manuals or workshop manuals will be there almost more than two million data has been indexed and on top of IT service executor can search with the keyword and find the desired information.
Uday Kumar Javangula: Here, by referring to that manual, what he can do is he can perform the operation.
Uday Kumar Javangula: And we are we are allowing not just a keyword, you can also perform deep search if any attachment is available for the articles.
Uday Kumar Javangula: You can also search through that article content.
Uday Kumar Javangula: Also attachment content and we are providing some kind of key features here since the service executive will be greasy hands in supporting the car or repair so they can just listen to the document using this play option with different voice overs as well and they can share the information or a print to PDF and bookmark it and also based on the yeah.
Preethy Raghu: To.
Preethy Raghu: Would they equipped for us?
Preethy Raghu: Sorry, there's a question from Siva Saranam how we get access to the data.
Preethy Raghu: If you can also address it.
Uday Kumar Javangula: OK, so data access is mostly there will be a.
Uday Kumar Javangula: Suppose this, the service executive point of view, there will be set of manuals will be creating by a creating by different authors of a company organization, right?
Uday Kumar Javangula: So they create this data natively.
Uday Kumar Javangula: One option they can create natively using this content authoring tool, or if you already have some information in different data sources, you can just integrate all your data source to the capture and it will be decided in your.
Uday Kumar Javangula: We can provide two ways whether it is on premise or a cloud based so we can index the data to a repository from that repository we are going to perform a search against it.
Uday Kumar Javangula: So data collection is from your organization data or you can write the new document using a native content authoring.
Omprakash N: And.
Sivarajan Subramanian: Picking up I'm I'm.
Omprakash N: I'm I'm I will.
Preethy Raghu: Yeah, you are.
Omprakash N: Yeah.
Omprakash N: No, my question is for example, as you know, we are you happy platform based.
Omprakash N: So our customers will be assumed that you have taken this data from one of the automotive industry.
Uday Kumar Javangula: Mm-hmm.
Omprakash N: That's what you have said.
Omprakash N: So I assume that we have an industry where other applications running and we want integrate with your.
Uday Kumar Javangula: Right.
Preethy Raghu: OK.
Omprakash N: Do you mean to say the data of my customer has to come to your end either on your cloud or on your on to resist so that you'll be able to process the data and give the output?
Preethy Raghu: OK.
Omprakash N: Or your application will sit on the customers.
Omprakash N: They're not bad.
Omprakash N: The data is processed within the customers environment.
Omprakash N: That's what my question on that.
Uday Kumar Javangula: Yeah, it's either way, depending on the, yeah, depending on the requirement and need, we can do that.
Uday Kumar Javangula: We can deploy this application onto their data and process it or we can grab that data sources provided by the customer and process it, that too in our own cloud or the customer cloud private cloud.
Omprakash N: OK.
Preethy Raghu: So it's a flexible platform, Sir.
Omprakash N: No, but this long.
Preethy Raghu: We do on Prem.
Preethy Raghu: We do cloud on cloud, we are compliant or AWS Azure and GCP.
Preethy Raghu: Since all of this is content and data management right, not a lot of companies are are OK to house it on cloud itself, so a lot of them want on Prem or their.
Omprakash N: Yeah, that's that's one thing.
Preethy Raghu: Yeah.
Preethy Raghu: So we have to it's it's a flexible platform.
Preethy Raghu: We're ready to deploy as per requirement.
Omprakash N: Thanks.
Preethy Raghu: In Saudi or that you can.
Uday Kumar Javangula: Yeah.
Uday Kumar Javangula: Yeah, no problem.
Uday Kumar Javangula: No problem.
Uday Kumar Javangula: So we are open for question no issues.
Uday Kumar Javangula: So we'll continue accordingly.
Omprakash N: Yeah, I have one question.
Omprakash N: The output which you are showing like the transmitter battery replacement on the right hand side, that template will vary or is it common configurable.
Uday Kumar Javangula: Right.
Uday Kumar Javangula: It it is configurable, it is configurable.
Uday Kumar Javangula: Uh anyway, whatever format that you need, you can configure using this authoring tool.
Uday Kumar Javangula: And if any PDF yeah.
Omprakash N: The.
Omprakash N: This baldness from the from the data source source of data, correct that's not able and earlier pages you are the the template varies customer to customer previous page.
Uday Kumar Javangula: Source of data this is.
Uday Kumar Javangula: Correct, correct, yes.
Uday Kumar Javangula: I'll show you that also we are we'll provide some default templates or a customized templates also can be used for creating this document structure as per the end user wish so customer wish.
Omprakash N: E.
Omprakash N: What is the response time like when I place a search and then how quickly will pitch in terms of milliseconds?
Uday Kumar Javangula: Yeah.
Uday Kumar Javangula: So you can see here average time taken for search.
Uday Kumar Javangula: You can.
Uday Kumar Javangula: You'll get it and number of searches we are providing.
Uday Kumar Javangula: So it will be a less than two seconds.
Uday Kumar Javangula: Kind of thing hardly.
Uday Kumar Javangula: Is it on the data right now?
Omprakash N: OK.
Uday Kumar Javangula: Whatever data that we are patching is based on the two million data that we indexed.
Omprakash N: That's the one.
Omprakash N: Everything OK?
Omprakash N: That's it.
Omprakash N: Depend on the model like we are, you have the data or you process the clients data from their data data sources.
Omprakash N: That means this.
Uday Kumar Javangula: Umm.
Uday Kumar Javangula: But then can you please repeat your question?
Omprakash N: When I did the one time vary depending on the modeling, whether you use on top of the clients data or.
Uday Kumar Javangula: No, no, no, no, no, it doesn't.
Uday Kumar Javangula: No, no it doesn't.
Uday Kumar Javangula: It is not specific to our data, but the system has been scaled like that according to the data group, the system will autoscale and the response will be the same.
Omprakash N: OK, please go ahead this word.
Uday Kumar Javangula: Yeah, and.
Uday Kumar Javangula: Show you.
Uday Kumar Javangula: As I mentioned, we can we can import some different integration, right?
Uday Kumar Javangula: So I'll show you that integrations that we support.
Uday Kumar Javangula: So these are all the different integrations the KAPTURE supports where in every organization if common data is being used or managed using these integrations, right, a SharePoint or a Google Drive or do you have?
Uday Kumar Javangula: If you have any Amazon S3 data that you're storing, you can just link that and auto refresh whatever data that we have.
Uday Kumar Javangula: Here it will sync automatically as soon as some modification is done.
Uday Kumar Javangula: Only the delta will be indexed or any modifications that are done from the previous version to current version.
Uday Kumar Javangula: And we are also maintain the version control mechanism to backtrack any article you want to revise with the previous version we we provide that.
Uday Kumar Javangula: So this is the integration point.
Uday Kumar Javangula: We can integrate all your slack information and we just need to do a if you want to do a manual refresh, you can do it and it will auto sync or we can write a bad jobs dedicated to these synchronization integrations that will do background process.
Uday Kumar Javangula: Right.
Uday Kumar Javangula: Same way that you're providing some kind of ERP data, right?
Uday Kumar Javangula: That data we can integrate here and for example this Oracle service cloud we do have this.
Uday Kumar Javangula: So from service cloud data we just grabbing all the information, all the incidents created by customers to the client, right?
Uday Kumar Javangula: We can sync all the incidents from Oracle service cloud or we can also get some of the information cases created by Salesforce also on top of the indexed data we have a uh has been enabled where you can ask some kind of predicted questions or any generative way.
Uday Kumar Javangula: It will give the summarization of the question that you provide.
Uday Kumar Javangula: I'll also showcase that shortly.
Uday Kumar Javangula: And.
Uday Kumar Javangula: These are all customizable, so according to the plan or anything we can enable those integrations, number of integrations and all as somebody asked about the customization of the template, right?
Uday Kumar Javangula: So we can customize it according to our requirement.
Uday Kumar Javangula: So these are all the different channels, right?
Uday Kumar Javangula: If you see these channels are configurable, so these are all the different fields with the different text type and all.
Uday Kumar Javangula: So it is configurable, so no need to have a standard template or you can also import existing templates also.
Uday Kumar Javangula: But a channel or if you don't want to create any native data, you want to just import your any existing data, right?
Uday Kumar Javangula: We have this data import process so without giving any information of the integration you can just give the source of the data.
Uday Kumar Javangula: If you have any zip file or something, you can just give the source point of your shared path or anything and just select the type that you're in, adding the data to the index.
Uday Kumar Javangula: So provide the custom tags and visibility.
Uday Kumar Javangula: We have this user groups concept where you can provide the security of the data not to expose the data between different departments right?
Uday Kumar Javangula: So you can control that based on this different, uh user groups and you can add your custom metadata and save your information so that will import all the given data to the index and it will be available for search.
Uday Kumar Javangula: So as a pretty mentioned, we also have this OCR validation where you can compare of existing any engineering diagram validation with regulation kind of thing.
Uday Kumar Javangula: We can give import of that specific document and what are the rules and regulations then it will identify whether the document is being matching specific to your regulations and rules.
Uday Kumar Javangula: So it will give the report also which performs a OCR on top of the PDF or TIFF files that we have and templates also can be configurable here based on your need you can define the template those those templates can be reused while you're writing the article and you can control this templates to specific user group as well.
Uday Kumar Javangula: So now let me take you to the yeah platform that we enabled.
Uday Kumar Javangula: So in search earlier, I've just showcased only the simple search right?
Uday Kumar Javangula: But on top of it, we added this generative AI chat bot where you can ask a question based on your existing data that has been indexed.
Uday Kumar Javangula: So maybe simply I can ask on.
Uday Kumar Javangula: So I'm just asking on flight rescheduling.
Uday Kumar Javangula: This is a data that is indexed from.
Uday Kumar Javangula: Airline data. So.
Uday Kumar Javangula: So it will generate the answer based on the information that we asked, right?
Uday Kumar Javangula: So using this AI information, it will generate the generative AI text and also give the information if we need to get right information with along with the details.
Uday Kumar Javangula: Also, you can choose that specific data source and trigger it.
Uday Kumar Javangula: You'll be able to see all the information.
Uday Kumar Javangula: So now it's showing the complete names.
Uday Kumar Javangula: Also, the prediction based on the existing data it is analyzed and giving you the data.
Uday Kumar Javangula: This is a completely generative a predictive analytics.
Uday Kumar Javangula: Uh.
Uday Kumar Javangula: And as this kind of thing here.
Uday Kumar Javangula: And if you need to understand how the customer analysis or customer sentiment is happening over the feedback, right, we can just ask what are the?
Uday Kumar Javangula: Suppose if we need to understand, we'll be getting some different feedback from different customers.
Uday Kumar Javangula: So you need to understand what are the top five reasons from passenger on the dissatisfaction.
Uday Kumar Javangula: So it will the AI will understand on top of the data that is indexed and analysis done and it will give the top information.
Uday Kumar Javangula: So according to that you can perform your different operations also.
Uday Kumar Javangula: Likewise, you can also ask.
Uday Kumar Javangula: Some some of the premium customers are available, right?
Uday Kumar Javangula: Let me give this.
Uday Kumar Javangula: How can we generate some kind of targeted?
Uday Kumar Javangula: Targeted upselling the features to the customer so you can just add this.
Uday Kumar Javangula: But with this question I'm asking on top of the premium customer premium passengers, then it will give you, yeah.
Omprakash N: Sorry to interrupt you.
Omprakash N: Ohh, they do.
Omprakash N: We need to write their proper sometimes like this or.
Uday Kumar Javangula: No, it can be depending on data.
Uday Kumar Javangula: You can just give a random keyword.
Uday Kumar Javangula: Also you can give but it will analyze and give it.
Omprakash N: Terrible.
Omprakash N: Because that sentence which you are typing is like.
Omprakash N: It's very neat to, OK, so nobody will like write like this till simply write like premium messages like that's what.
Uday Kumar Javangula: Yeah, you can sort.
Uday Kumar Javangula: You can just use anything.
Uday Kumar Javangula: Yes, yes it is not needed to give only the entire sentence, but you can give context of it.
Uday Kumar Javangula: The prompt should be that should contain the intent of entity what you're expecting from the model right?
Uday Kumar Javangula: Then it will analyze and give the response.
Omprakash N: But the.
Uday Kumar Javangula: So just for the idea purpose, I gave you a couple of questions on top of the predicting the things based on the customer data and customer sentiment analysis.
Omprakash N: OK.
Uday Kumar Javangula: Also, where we can upsell the business same way on top of ERP data you can index and you can fire a query to understand the prediction as well.
Uday Kumar Javangula: Or we can.
Uday Kumar Javangula: I mean system will answer a different question.
Uday Kumar Javangula: So you can also have any documented questions or non documented questions right and any kind of data that you already indexed in real time or indexed your image that contains some kind of roles or something you can ask that question and it will give you the response by framing it.
Omprakash N: Your uh, maybe.
Uday Kumar Javangula: Since.
Omprakash N: Sorry there you can correct me.
Omprakash N: You ask who are the premium passengers?
Uday Kumar Javangula: Yep.
Omprakash N: And the system has to suggest names correct all means like when I get you display ABCD like does.
Uday Kumar Javangula: Umm.
Uday Kumar Javangula: Right.
Omprakash N: It should display the name now but it is giving some paragraph.
Uday Kumar Javangula: Setting right, right.
Omprakash N: I'm not able to read that.
Uday Kumar Javangula: This is, uh, generating based on the data that we have.
Uday Kumar Javangula: Uh.
Uday Kumar Javangula: Suppose if you see right, it is taking some kind of fields on top of it.
Uday Kumar Javangula: Launch access and ticket booking kind of thing and you'll be giving.
Omprakash N: Yeah.
Uday Kumar Javangula: We can also ask for our names.
Uday Kumar Javangula: Also, we can ask by giving the to give the list right in this prompt.
Uday Kumar Javangula: If you ask for a, give the list of passengers, yeah.
Omprakash N: OK.
Omprakash N: The previous question you had, the name school and then passages.
Omprakash N: Remember question question was that the name state name?
Omprakash N: Sorry, no problem.
Uday Kumar Javangula: Yeah, you can ask that question then it will give the response on top of it.
Omprakash N: OK, cool.
Uday Kumar Javangula: So it's all dependent on the model and also the prompt that you're providing here.
Uday Kumar Javangula: So this is on 2 formats, one is capture is are natively created document or any integration point of view.
Uday Kumar Javangula: Also we have enabled 2 levels of AI analysis and understanding here.
Omprakash N: You know, listen.
Uday Kumar Javangula: And if you need.
Omprakash N: Yeah.
Omprakash N: So that's the data source.
Omprakash N: So the data source here it's right.
Omprakash N: No, it's amazing.
Omprakash N: Capture it.
Omprakash N: It does across all datasets it.
Uday Kumar Javangula: Across all the data sources, yes.
Omprakash N: It from before we want the block questions you talked about templates like is it all for viewing it here or post template can be used to send mail.
Omprakash N: It's called communication.
Omprakash N: Now what is it again?
Omprakash N: Ohh, I'd Ashwin the only thing.
Uday Kumar Javangula: The templates will.
Uday Kumar Javangula: Yeah.
Uday Kumar Javangula: Templates or for your native authoring tool you have, right?
Omprakash N: Like and you.
Uday Kumar Javangula: These are all the templates which will be rendered on the article point of view.
Uday Kumar Javangula: You can reuse those templates.
Omprakash N: Is it?
Uday Kumar Javangula: Uh.
Uday Kumar Javangula: While you're creating the article, I'll show you that I'll pick one of the channel.
Uday Kumar Javangula: So while we're writing the article, so this is a standard template that we already selected right?
Uday Kumar Javangula: Rich text area or title something on top of it.
Uday Kumar Javangula: If you need to use any existing templates, you can just without rewriting the wasting the time.
Uday Kumar Javangula: Right, you can define one template.
Uday Kumar Javangula: Suppose you there is a press release template, right?
Uday Kumar Javangula: If you need to use it so this will be embedded here, all you need to do is just replace the placeholders of it every time and publish it.
Uday Kumar Javangula: So two types of templates, one is a article template.
Uday Kumar Javangula: Another thing is within the article the schema template, you can just reuse of existing one.
Uday Kumar Javangula: So it is customizable.
Uday Kumar Javangula: I hope I answered your query.
Omprakash N: That this can be a used as a mail formats in case you want to say.
Uday Kumar Javangula: Correct.
Uday Kumar Javangula: Different formats, yes, you can add it any number of templates and control the visibility also based on user group.
Omprakash N: What the question is the template.
Uday Kumar Javangula: Umm.
Omprakash N: What what we are saying as a farmer is it going to display the outputting the screen or you have a permission to send us an email to the user directly for the?
Uday Kumar Javangula: OK, so one thing is first point.
Uday Kumar Javangula: Whatever template that we are creating that will be shown in this article view here when you sharing this information article then the same template will be sent as an email that is a second step.
Omprakash N: Alright.
Omprakash N: Yeah, OK.
Omprakash N: OK, OK.
Uday Kumar Javangula: Yeah, it is possible.
Uday Kumar Javangula: One thing is to render the article in the search when we view the article and sharing that to over the email as well.
Uday Kumar Javangula: The both the ways it will work Sir.
Omprakash N: Yeah.
Omprakash N: They turn down some two questions since people ask, you know, let me also now, uh, we are on simple database Ms Microsoft SQL.
Omprakash N: To you will be able to integrate with myself because this or you want a tool to be developed.
Omprakash N: Technically you are there any data.
Uday Kumar Javangula: Of so, the system is capable of crawling any database data OK based on the entities that we provide.
Omprakash N: The.
Uday Kumar Javangula: What kind of data that we need to index?
Uday Kumar Javangula: We can crawl exist existing database also yeah.
Omprakash N: OK.
Omprakash N: OK, let me rephrase the question.
Omprakash N: What I meant ask is what I understand from the session is is the data should be in your native data so that you will be able to pass and then give the output so the SQL data we need to pass and give to you in your template format all the data in which kapture reads so that interface will be scope of rust or will be done by you.
Uday Kumar Javangula: Mm-hmm.
Omprakash N: That's not my question.
Uday Kumar Javangula: OK, so suppose you're mentioning it is a sequel data, right?
Uday Kumar Javangula: Uh SQL data that you have?
Omprakash N: Yep.
Uday Kumar Javangula: Is it, uh, Oracle or something?
Uday Kumar Javangula: My SQL database right?
Omprakash N: Microphone is good.
Omprakash N: That's what I'm saying, Microsoft.
Uday Kumar Javangula: Microsoft skill.
Uday Kumar Javangula: OK, so all we need to do is we need to define some kind of, I mean since it is a all the database table that you have right, we need to index that into kapture.
Omprakash N: Yeah.
Uday Kumar Javangula: So all we need to do is we need to have access to your database, right, crawl all the information to capture oriented.
Uday Kumar Javangula: We'll convert all your data to capture articles and do a direct indexing to the repository.
Omprakash N: But that's what so we need to have a tool or a kind of program which will convert our data to your captured data.
Uday Kumar Javangula: Right.
Omprakash N: So that interfere integration has to be developed.
Omprakash N: Am I right?
Uday Kumar Javangula: You're correct, correct that is true.
Omprakash N: Is my understanding right?
Omprakash N: OK.
Uday Kumar Javangula: So we need to define that.
Omprakash N: OK.
Omprakash N: Coming to the other sorry.
Omprakash N: The other question for me is on the product in a different angle.
Omprakash N: Assume that I saw your predictive analysis.
Omprakash N: Assume that we have a maintenance module.
Omprakash N: We need this, predictive analysts say.
Omprakash N: For example, the we need to inform the our customer, the user who is using our app to say hey you have changed the barring so much so great.
Omprakash N: After six months, it is going to expect so you need to change based on the data.
Omprakash N: It has analysis and give but I do not want to use your screen at all.
Omprakash N: Everything should be done in my application.
Uday Kumar Javangula: Umm.
Omprakash N: Create the screen but able to follow me so that I will have a handshaking data with you.
Uday Kumar Javangula: Yes.
Omprakash N: You will give me the output back to our ERP.
Omprakash N: The data I will show in our application screen so I do not want my end user to use your application to open up and see the data.
Uday Kumar Javangula: Umm.
Omprakash N: See the screens.
Uday Kumar Javangula: Umm, they've got your useless.
Omprakash N: Is that possible?
Omprakash N: Is that kind of interface is possible?
Uday Kumar Javangula: E It's an API driven set, so it is possible the use case we need to develop that particular way on API point of view.
Omprakash N: Talking, talking.
Uday Kumar Javangula: Where will the handshake will happen with the repository and get the insights or prediction and you can share.
Uday Kumar Javangula: The API will respond to you based on the credentials that we have provided.
Uday Kumar Javangula: Then you can share that information to across your ERP.
Omprakash N: EI mean OK, So what to add to that?
Omprakash N: Like any P, any customer you are done.
Omprakash N: Similar customers like ER, B and the kapture sooner nothing.
Omprakash N: OK.
Uday Kumar Javangula: So we did for automotive, we did for automotive and yeah.
Omprakash N: OK.
Omprakash N: Yeah, I don't know.
Omprakash N: Ohh yes, we yeah this so that you can find the you you cannot hear you.
Uday Kumar Javangula: Yeah.
Uday Kumar Javangula: Please, please north.
Omprakash N: Now you cannot hear your answer.
Omprakash N: Can you please repeat?
Uday Kumar Javangula: OK, so for a customer point of view, not the TRP, we did this, uh, I can say airline customer, we did it process all the incidents, uh kind of thing and including sales force Ansible, we did that expertise already and also automotive one of the masa, yeah.
Omprakash N: So that means.
Omprakash N: Then experience in CRM application and the capture.
Uday Kumar Javangula: Right, correct.
Omprakash N: Since you know capturing and their expertise in Seattle application.
Omprakash N: Yeah, that's right.
Omprakash N: See. It's a capability.
Omprakash N: That can capture as a capability video data in both of these cases from over here we have we can take from sales, we can take from sales we can take from maintenance.
Uday Kumar Javangula: Yeah.
Omprakash N: So we already have the least we'll be able to do work study with them there.
Omprakash N: This one, the challenge I was having is opening up two applications because if it's OK, so everything we have this training possible.
Omprakash N: Sorry saying so.
Omprakash N: That way we could so that we can open up and show in our screen that then ask user to go and log in in their applications.
Omprakash N: You said experience with respect to user experience.
Omprakash N: One screen once to one.
Omprakash N: Yeah, the screen.
Omprakash N: Yeah.
Uday Kumar Javangula: So since it allows multiple integrations, so we did the.
Uday Kumar Javangula: It's not dependent on some specific system or something, so it is flexible to integrate any system data and provide the insights and also give the generative error response.
Omprakash N: Uh.
Omprakash N: The different angle of question is around the data security.
Omprakash N: See we in our ERP, we have a data access security.
Uday Kumar Javangula: Umm.
Omprakash N: What I mean is, they assume that when you have to runs in a group company where they have plans through three locations.
Omprakash N: OK, so location here.
Omprakash N: People should not see the location's data similarly like that.
Omprakash N: So do we have a similar kind of an approach?
Omprakash N: So when I give the data to you through API you should segregate and that based on the access rights you could give me the data back that kind of an access based this summer I saw you saying that.
Omprakash N: Our department a cannot see department be somewhere I listen to you.
Uday Kumar Javangula: Yeah.
Uday Kumar Javangula: Yeah, correct.
Uday Kumar Javangula: We have this, yes.
Omprakash N: Otherwise everyone will see the other state.
Omprakash N: Yeah, he showed some of that.
Uday Kumar Javangula: No, no.
Omprakash N: He showed some that cannot see development data from them.
Uday Kumar Javangula: Yeah.
Uday Kumar Javangula: Yeah, we have this user group facility.
Uday Kumar Javangula: I can show you that quickly.
Uday Kumar Javangula: So we'll define the different user, group and teams.
Uday Kumar Javangula: Uh, for example, these are all the different teams, OK?
Uday Kumar Javangula: Underneath, we'll be having multiple members so that data what is associated to this specific uh internal team can't be viewed by Deva user right?
Uday Kumar Javangula: Like similar ways support or clinic or different thing.
Uday Kumar Javangula: So we have this user group visibility which matches the same way.
Uday Kumar Javangula: It will control not to expose one department data to another department.
Uday Kumar Javangula: We'll control it based on the while indexing data itself will associate this user group to the content based on the user profile that we'll user logged in.
Uday Kumar Javangula: Every user will be having their own user group or a privileged right security control.
Omprakash N: It's there.
Omprakash N: So then we need to have a handshake between our users and new users.
Omprakash N: We may need to create the same kind of users.
Uday Kumar Javangula: Yeah, we need to know.
Uday Kumar Javangula: Yeah, we, yes.
Omprakash N: How to have this access OK.
Omprakash N: Sorry, I'm jumping because I'm thinking too much, so I'm jumping here and there so so assume that we are going on a cloud.
Omprakash N: So how do we handle this?
Uday Kumar Javangula: Umm.
Omprakash N: You will be having different tenants for each and every customer offers civil example.
Uday Kumar Javangula: And it will be.
Omprakash N: I am going to.
Uday Kumar Javangula: Yeah.
Uday Kumar Javangula: Please, please.
Omprakash N: I'm going to give to three of my customers.
Omprakash N: That's only a customer being customers see and assume that we are going to talk to you on your cloud.
Omprakash N: Assume ABC accepted to share the data on your cloud.
Omprakash N: So how will you restrict?
Omprakash N: Yes, data not on a development right?
Omprakash N: Not on it is totally different blocks.
Omprakash N: You understood right three different servers of first three different javangula locations.
Omprakash N: The all will come to you.
Omprakash N: So you will have different clouds for me.
Omprakash N: Different cannons are different database.
Omprakash N: I mean how you segregate those?
Omprakash N: That's almost there.
Uday Kumar Javangula: Yeah.
Uday Kumar Javangula: So currently it is not multi tenant, so it's a single tenant and each customer will have their own server setup, installation everything. Sorry.
Uday Kumar Javangula: I can simply to answer it will so.
Omprakash N: Essentially, they don't know how do you handle that?
Omprakash N: Sorry I could not get the second line of it.
Omprakash N: It's a single right.
Uday Kumar Javangula: Yeah, it is a single tenant for each customer implementation.
Uday Kumar Javangula: One cloud like the the data will not be shared between two entities or two customers.
Omprakash N: Point.
Omprakash N: So we will have different cloud servers.
Omprakash N: You have different instances accordingly different blocks boxes, right?
Uday Kumar Javangula: Correct, correct.
Uday Kumar Javangula: That is true.
Uday Kumar Javangula: So it's not multi tenant, single tenant and independent, yes.
Omprakash N: I understand. OK.
Omprakash N: I guess you didn't.
Omprakash N: We talk next met.
Omprakash N: Suppose we go through API mode.
Omprakash N: What is the user restriction?
Omprakash N: If you go to the application, what is restriction?
Omprakash N: These things we need to get the quality.
Omprakash N: See.
Omprakash N: I go through the API will not have any users form that's application directly.
Omprakash N: I don't see anything in the beginning this week.
Omprakash N: You'd like me everything you can, ramco.
Omprakash N: Yeah, computationally, from the good, you don't have been captured.
Omprakash N: We are using OK, we have internally tied up with kapture for our analysis to make.
Omprakash N: Customer will say I'm using kapture you not see at all.
Omprakash N: This software will go as my software is going on and there will be a agreement with you, me and catch it.
Omprakash N: So it will go through so so there will not be any user logging in through the kapture logging.
Omprakash N: You having different business, different business models.
Omprakash N: OK.
Omprakash N: What do you think?
Omprakash N: Model or whatever you call it.
Omprakash N: That's right.
Omprakash N: Are you able to arrest city?
Uday Kumar Javangula: Is that. Yeah, yeah.
Uday Kumar Javangula: Is it question for me? Yeah.
Omprakash N: Yeah.
Omprakash N: Yeah, actually we are discussing like, uh as the end user.
Omprakash N: OK.
Uday Kumar Javangula: Hmm.
Preethy Raghu: Yeah.
Omprakash N: So yeah, just obviously we thought the question is OK.
Omprakash N: Thank you.
Omprakash N: No problem, you guys.
Omprakash N: Maybe next time when to lift level and I guess he talks me might be talking to you in these links.
Uday Kumar Javangula: No, no, I got the point.
Augustine Anandkumar: Yeah.
Augustine Anandkumar: So my my I got a question Siva, so we'll discuss that once we move forward.
Uday Kumar Javangula: Yeah, I got the.
Omprakash N: Yeah, yeah.
Augustine Anandkumar: So usually we we will probably have tried to understand the energy.
Augustine Anandkumar: Will it work for us?
Augustine Anandkumar: Can we take to market for some of our customers, umm, either existing or new, that is something we'll we'll try to explore and.
Omprakash N: I guess you at the maximum level.
Augustine Anandkumar: 1.
Omprakash N: Yes, it looks OK, but we need to have a POC.
Augustine Anandkumar: Umm.
Omprakash N: That means we built our hands will not be able to comment anything.
Augustine Anandkumar: Correct.
Augustine Anandkumar: So so preethy Uday, can we uh probably arrive at, you know, a small POC or something that?
Uday Kumar Javangula: Yeah.
Preethy Raghu: Mm-hmm.
Omprakash N: On that environment that we can have hands on it, only thing we can publish a page.
Uday Kumar Javangula: Yeah, some data.
Uday Kumar Javangula: Yeah, sample data.
Omprakash N: OK.
Uday Kumar Javangula: How?
Uday Kumar Javangula: What kind of data that we need to analyze it?
Omprakash N: Yeah.
Uday Kumar Javangula: We need that access.
Uday Kumar Javangula: Uh.
Uday Kumar Javangula: Maybe a dummy data also?
Uday Kumar Javangula: Fine.
Uday Kumar Javangula: We can frame a use case according to your convenience and demonstrate.
Preethy Raghu: Yeah.
Augustine Anandkumar: Umm.
Preethy Raghu: The main five pieces, the use case Augustine and Norm like.
Uday Kumar Javangula: Yeah, use case and data preethy, so those two.
Augustine Anandkumar: Umm.
Preethy Raghu: What are the kind of insights?
Preethy Raghu: Yes, data as well, of course.
Preethy Raghu: Uh, what are the kind of insights?
Preethy Raghu: Generally, your customers will look for and what what could be the changes or variations so that we have to train the model according there, right.
Preethy Raghu: So what could be the variations in the data that's already housed?
Preethy Raghu: So these are some questions that we need to scope better for a customized peoc.
Augustine Anandkumar: Umm.
Omprakash N: Currently they see, as I said, well, this is in the year we brought it is highly integrated application.
Omprakash N: We have a purchasing model of it.
Preethy Raghu: Yes.
Omprakash N: We have a maintenance, we have a sales side of it.
Omprakash N: We have.
Omprakash N: We have finance, so we can make some sample use cases in each and one solid to see that that is not a big deal.
Preethy Raghu: Hmm.
Omprakash N: Maybe we can think of collecting the data and give to you an Excel format of women so that you can upload in your app, capture net loop data and then we can work on that is not a problem, but unless otherwise I have my hands closer, I will not be able to comment this thing.
Preethy Raghu: Sure.
Omprakash N: Now I at the output the way you showed looks OK to me as at the macro level at the 30,003, don't worry.
Preethy Raghu: Sure.
Omprakash N: Umm.
Preethy Raghu: Great. Great.
Augustine Anandkumar: So she can we can we maybe put together maybe one small simple use case.
Augustine Anandkumar: Uh.
Augustine Anandkumar: And share it with the Kapture team and see if they can help us with that.
Augustine Anandkumar: Maybe a very simple something?
Omprakash N: Yeah, I guess you see the you still have a maintenance in the little complex.
Augustine Anandkumar: Uh.
Omprakash N: These cases are sales is comparatively little less complex, but purchase finance maybe a straightforward.
Omprakash N: So we need are two three combinations.
Augustine Anandkumar: Uh, so they won't straightforward. Uh.
Omprakash N: I will not give one or two.
Omprakash N: We can have three or four based on the complexity.
Omprakash N: We cannot load thumbnails, maybe four or five with the current complexes and we can try.
Augustine Anandkumar: Correct, correct.
Augustine Anandkumar: Ohh, we need not even get into the maintenance side of things because we don't have too many customers using the maintenance module.
Augustine Anandkumar: So if we can maybe.
Omprakash N: I'm on my main important is better than predictive analysis.
Augustine Anandkumar: Uh.
Omprakash N: I'm getting calls and the predictive analysis.
Omprakash N: Also I need this mainly on the Windows predictive analysis.
Omprakash N: I was happy when he told that air flight and other one more that what you trans badly transformation.
Omprakash N: So similar questions I'm also getting from my transfers, but one thing is it should be embedded or ERP screens correctly.
Augustine Anandkumar: Hmm.
Omprakash N: That isn't the first.
Omprakash N: We need to see all the data comes whether it is OK then we need to see the how the API works without that front and how my application seamlessly integrates with them.
Omprakash N: See my end view is I don't want my customer to know that something software we are using that is OK, see for example I'm logged into the purchase order when you have this.
Omprakash N: See you like when I enter wrong price or wrong quantity, system will detect hey you are entering the wrong quantity.
Omprakash N: Hey, wrong price.
Omprakash N: You're entering all along.
Omprakash N: You use thing now we have 10,000.
Omprakash N: Is there a problem liking it?
Omprakash N: Should prompt you employees.
Omprakash N: Yeah. Yes, real time.
Omprakash N: So I want this use case to be shown in the UI itself, a purchase order.
Omprakash N: They asked the question so we can ship channel data.
Omprakash N: Baby, you do the that will put you have to read and showing out today.
Omprakash N: So that's the change in which we do we do in our very happy, we can share the data, read the share the data in and there are feel that they are also in the same amount of us.
Omprakash N: So they will read pass through the data and give back the API output will give.
Omprakash N: This is the message.
Omprakash N: This the data.
Omprakash N: Then we have the provision to show the this is the.
Omprakash N: So they said it is apparently possible.
Omprakash N: That's what they're doing.
Augustine Anandkumar: OK.
Omprakash N: To this week, all for her development, because they should have.
Omprakash N: They may have a base.
Omprakash N: We should have access to handshake and see the anomalies and then that we have developed and at least for seeing the screens, we can have handsome with our data exposed tenancy.
Omprakash N: So is there our understanding correct?
Uday Kumar Javangula: Yes, that is correct.
Uday Kumar Javangula: Alright and.
Omprakash N: OK.
Omprakash N: And do you have any other thing to be covered like or or intend to show?
Omprakash N: Sorry, you have anything else intended to show?
Uday Kumar Javangula: I think I covered most of the things.
Uday Kumar Javangula: Uh, but any questions?
Omprakash N: OK, great.
Omprakash N: Yeah, no questions from my end.
Augustine Anandkumar: OK.
Omprakash N: One is on uh.
Omprakash N: See, we're talking about predictive ways and prediction all.
Omprakash N: Then that would sometimes need a little bit of configuration as well.
Omprakash N: You know you're looking at arrays, sincere frequency impact and probably sometimes I might customer might want have certain weightages no exceptions, you know.
Omprakash N: Oh oh.
Omprakash N: Entered or not available, so which food actually vary with organization?
Omprakash N: So my one person could be, you know, less than 1%.
Omprakash N: I don't want to have it as an anomaly, like more than that.
Omprakash N: So those configurators is something we have to send from the application or you have some Configurator that is question #1 #2 is do you have any reports or dashboards anytime comes to financial aspects?
Omprakash N: I won't do a predictive model.
Omprakash N: Do you have standard reports, outputs, dashboards then?
Uday Kumar Javangula: So as I mentioned, we have a default analytics or being for the entire data data analytics is there.
Uday Kumar Javangula: That is for second point and the first point as you mentioned.
Uday Kumar Javangula: So there will be a default.
Uday Kumar Javangula: Ohh and for providing analysis there will be weightage right on the.
Uday Kumar Javangula: It completely depends on data.
Uday Kumar Javangula: If you index less data and if you are asking for more analysis, analytics or prediction, then the response will be different.
Uday Kumar Javangula: Right model has to be trained on the particular ranking.
Omprakash N: It.
Omprakash N: To do you have a Configurator?
Uday Kumar Javangula: So data is.
Omprakash N: Uh.
Omprakash N: Any configuration?
Omprakash N: No, I got it.
Omprakash N: You three days off often.
Omprakash N: I'm leaving.
Omprakash N: This family takes more delays.
Omprakash N: Now see, that's assuming I'm gonna frequency recency data.
Omprakash N: I'm only looking at the recent only six months.
Omprakash N: Somebody might say, well, months or is that normally comes to no .0 and I might want to ignore it?
Omprakash N: I don't want to show it as along with it, so if it is more than one, is there any event that needs a little bit of full of Configurator?
Omprakash N: Is that available?
Omprakash N: It's my position.
Uday Kumar Javangula: We have.
Uday Kumar Javangula: Yeah.
Uday Kumar Javangula: To answer that question, we have a dictionary tuning concept where you can rank the data or content age right based on the content age.
Omprakash N: OK.
Uday Kumar Javangula: Also you can pick it up right last six months or last three months or last 15 days.
Preethy Raghu: No, no.
Uday Kumar Javangula: Data you need to process.
Preethy Raghu: Well, they let me clarify.
Preethy Raghu: For example, when you speak about anomaly detection right, I think this is what why they he's getting at, say the right answer is true and the system is and we are typing 1 1/2 so they are OK to allow 1 1/2, but they don't want to allow one so that .5 difference is there, right?
Uday Kumar Javangula: Umm.
Uday Kumar Javangula: OK. Umm.
Preethy Raghu: So they're asking if we can capture that, am I right?
Preethy Raghu: Why there is this?
Preethy Raghu: What you're speaking about?
Omprakash N: That is the captain.
Omprakash N: That there is that configuration, it should it be residing in my application and send it to you or you have a once we didn't.
Omprakash N: So those data should also be sent from from the application right from the source data.
Uday Kumar Javangula: I think.
Omprakash N: It is that right?
Uday Kumar Javangula: It depends on source data only, maybe from source data itself.
Uday Kumar Javangula: We need that information to process.
Omprakash N: We need to pause.
Preethy Raghu: Yes.
Uday Kumar Javangula: Yes.
Omprakash N: It's again this on the dashboards.
Omprakash N: Yeah.
Omprakash N: Or reports reports on the you said you have some.
Omprakash N: It's have you done any financial data linked predictive data in terms of forecast profit or?
Uday Kumar Javangula: Non financial we didn't do but what we are doing is we just on a knowledge point of view, we did this all analytics.
Preethy Raghu: Yeah.
Uday Kumar Javangula: You can see the knowledge growing and all.
Preethy Raghu: So I maybe we cannot like from a dashboard point of view, if you're talking about analytics, you cannot replace us as a power BI tool.
Uday Kumar Javangula: Hmm right only for content paste, yes.
Preethy Raghu: We do not do that much of in detail.
Preethy Raghu: We haven't done or, I would say upfront, that we haven't done in the past because the tool is in base and knowledge or a content management tool, right?
Preethy Raghu: So the analytics come from the usage point of view rather than, you know, predictions and forecasts models.
Preethy Raghu: So I wanted to be upfront on that as well.
Preethy Raghu: I just wanted to follow up after they completed.
Preethy Raghu: I've I've used power by myself so that from a sales point of view from a business development point of view, but the kapture does not have those capabilities from a dashboard piece.
Uday Kumar Javangula: Yeah.
Omprakash N: OK.
Omprakash N: Thanks.
Omprakash N: So even if we have to call, you just have to.
Omprakash N: But I make use of this.
Omprakash N: Then you have to be logged, signed users or anything application.
Preethy Raghu: Yes, but don't worry about the uh subscription, because this is not a SAS tool.
Uday Kumar Javangula: Yes.
Preethy Raghu: The pricing is not based on the number of users, it's based on couple of other factors.
Preethy Raghu: Probably I'll I'll take that later.
Omprakash N: Ohh.
Preethy Raghu: Yeah, but yes, all of you need to have be registered users or your customers.
Omprakash N: But.
Preethy Raghu: Your customers don't have to be.
Preethy Raghu: If we can take that at the back end, but all of you who are configuring it on the admin module have to be registered users.
Omprakash N: But.
Omprakash N: Yeah, I like that office there.
Omprakash N: I don't.
Omprakash N: I don't know this.
Omprakash N: So one person, for example, in a typical year scenario, there are 100 users will be there.
Preethy Raghu: Mm-hmm.
Omprakash N: The same one tradition has to be signed for Kapture it's not.
Omprakash N: That's all.
Omprakash N: Maybe to maybe one year don't need it. OK.
Omprakash N: Need.
Omprakash N: It's a lot of data, so only the data tool.
Omprakash N: So I found the calls.
Omprakash N: They actually said that couple of the factors.
Omprakash N: So I didn't use the engine to predict my work or unless my data something like O2.
Omprakash N: I'll give the data the this give me a call.
Omprakash N: I'm learning from the time.
Preethy Raghu: So yeah.
Omprakash N: OK.
Omprakash N: Please you think that application stuff?
Omprakash N: What options are there?
Omprakash N: The Secretary you wanna use that you have to go with the users that out, OK.
Preethy Raghu: So I'll clarify home when it comes to number of users, right?
Preethy Raghu: The tool is designed as an enterprise tool.
Preethy Raghu: We're gonna have 4000 users also on the tool, we do not charge on the the commercials do not work on the number of users, but rather yeah it it's it's rather on the usage like a couple of factors I could call up is the number of integrations that we do the volume of data that we house because again hosting charges on the cloud right and 3rd is the number of searches on the AI model because AI again comes at the the count the number of interactions that the bot does right.
Omprakash N: But that's that's that's understood.
Preethy Raghu: So these are three four factors on the pricing could probably send the list pricing later, but I also have to do homework on this integration piece because like search said, we are not going to give capture as a product to a ramco ERP user.
Preethy Raghu: Rather, we're going to tell that this is ramco's product capture is going to be working behind the curtain.
Preethy Raghu: So we have to do a homework on how the pricing will work there.
Omprakash N: You E hold off if you want.
Omprakash N: Because of my trip.
Omprakash N: Yeah.
Omprakash N: Want to know how?
Omprakash N: See, it's how we expose always there.
Preethy Raghu: Yeah.
Omprakash N: But it's interesting to be exposed how we sell this.
Omprakash N: A tool technologies to our customers if they want to to make our own public cloud customer for them it's a one uh.
Preethy Raghu: Yeah, correct.
Preethy Raghu: Correct, correct.
Omprakash N: We cannot even answer this because the customer customers the moment I say I'm giving data to the capture and then they are working on this.
Omprakash N: They say no, I don't want my data to go.
Omprakash N: Then I say no, don't worry.
Preethy Raghu: In.
Omprakash N: This is inside this typically our ramp cemental.
Omprakash N: Anyway, you will say that there are.
Omprakash N: There are not bothered.
Omprakash N: They need the output.
Omprakash N: Got it, got it.
Omprakash N: Is the first question I asked if she would the answer.
Omprakash N: Yes, something to say.
Omprakash N: So they want.
Omprakash N: I think yeah, look.
Augustine Anandkumar: Yeah, that that visibility is their own.
Preethy Raghu: Right.
Omprakash N: What's the next step?
Omprakash N: In my view, we'll have our internal discussions how we can have the hands on on the kinetic testing or kind of testing it out with them.
Augustine Anandkumar: Umm.
Omprakash N: Then we can communicate back to them.
Augustine Anandkumar: Ohh you wanna testing environment?
Omprakash N: Something you there allowing us to have some mental.
Augustine Anandkumar: Pretty would they?
Omprakash N: Saying that we can give the data in an Excel template so that they can uploading the and then we can see because seeing a demo is one way if if they there's a process for having an answer, some kind of a sanity vision, we can do that.
Preethy Raghu: So we do extended trial period Augustine.
Augustine Anandkumar: Hmm. Hmm.
Preethy Raghu: Now there is a 30 days trial period that we do free of cost and once we get that trial is a very plain vanilla trial.
Omprakash N: Yeah, like that.
Omprakash N: Like that file number or something?
Augustine Anandkumar: How long that?
Omprakash N: Other.
Preethy Raghu: But we need to customize it as per year, so that's where the catch is.
Preethy Raghu: Now you'll have to give us the use case and data wherein we can pull and push data from your ERP so.
Augustine Anandkumar: Just just.
Omprakash N: We can take some transaction like purchase order or sale order.
Preethy Raghu: Yes, we'll do that.
Omprakash N: Thank you. OK.
Omprakash N: And the data for that love photo for use cases corresponding use cases data we have to give in some template, some XLR whatever the template they asked.
Omprakash N: But you can see it and then they will upload and gives.
Augustine Anandkumar: Hmm.
Omprakash N: You can create all combinations what we think is like so we're not feasibility.
Preethy Raghu: Yes, we can give you a 30 day trial, yeah.
Omprakash N: Over there's nothing level if you're companies are the feasibility, then next step is how they integrate because that is the development.
Omprakash N: We cannot do a integration and part of the reasonable.
Omprakash N: They've developed the whatever you do, don't you?
Omprakash N: Soon, so they will give that use case plus excel sheet use case.
Omprakash N: That's funny.
Omprakash N: You say this data data, but OK, it just looks like yeah, it does really last to you.
Uday Kumar Javangula: Data, yeah.
Augustine Anandkumar: So when when can we hear that Shiva with?
Omprakash N: One second you talked about.
Omprakash N: So what's your language?
Omprakash N: Are you?
Omprakash N: Also, your vendor or good because I didn't see anything on the task.
Omprakash N: They have capability or you are doing some validation with this with the data but this is this.
Uday Kumar Javangula: So two things, yeah, we are doing two things.
Omprakash N: Is it worth it?
Uday Kumar Javangula: Yeah.
Uday Kumar Javangula: We are doing two things.
Uday Kumar Javangula: One is OCR validation of existing any document based on the rules.
Uday Kumar Javangula: That is one another thing is any images or any text that we have image right we crawl that we'll extract the image content and index it so you can find data and summarize the data of images also.
Omprakash N: Then there's a problem.
Omprakash N: I think that would be interesting to do for me.
Omprakash N: I've said that from images like typical OCR, do you do?
Uday Kumar Javangula: Typical OCR, yes.
Augustine Anandkumar: Hmm.
Omprakash N: This is a part of this.
Omprakash N: Or is separate software.
Uday Kumar Javangula: That part of this uh.
Augustine Anandkumar: OK.
Omprakash N: Plus, we didn't get to see with the string validation.
Omprakash N: I thought some so that means OK.
Uday Kumar Javangula: And the two things is there one while indexing data if any data source the data source has any images it will crawl it that is automatic.
Uday Kumar Javangula: You need to enable it.
Uday Kumar Javangula: Probably I'll show you that settings that we do one SEC, so.
Omprakash N: Let me.
Omprakash N: That's something that we didn't even next night.
Omprakash N: That's what I do.
Omprakash N: You didn't send me emails.
Omprakash N: We pass and say there's a valid image or not.
Omprakash N: Something wrong?
Omprakash N: Image something that's not based on some keywords or something they they know says he passes and gives the data of the image that is really interesting.
Uday Kumar Javangula: Yeah. So.
Uday Kumar Javangula: Right.
Uday Kumar Javangula: Yeah.
Uday Kumar Javangula: So right, so we can while you're integrating your data to here, so to one of the integration, if you need to apply for OCR, you can choose it right.
Uday Kumar Javangula: When we do this, what it does is while it importing or indexing the data, it will apply for any image or any zip file, anything right.
Uday Kumar Javangula: It will extract the content that is the first part.
Uday Kumar Javangula: Second part is this OCR validation will do is according to any engineering diagram you can upload and validate it with the data and give the regulation.
Uday Kumar Javangula: Then when you submit the information, you'll get the right information of it, whether it is the right data or not.
Uday Kumar Javangula: SO2 parts of rows.
Uday Kumar Javangula: Here we are doing one is the placement level, another is the across the image level from the data integration point of view.
Omprakash N: Could be that surprised.
Omprakash N: It's not always here.
Omprakash N: OK.
Omprakash N: So you will see what I'm looking at at what we are looking at is.
Omprakash N: See, we have a variables invoice right.
Omprakash N: So our the customers of runway, then they use the windows give the scanned images.
Omprakash N: So we need to pause the image and create an automatic variable invoice and that's the one level single statement requirement.
Omprakash N: So we need to scan through that and identify our pure number, identify that tags, identify their passed or ERP so that we create those transaction deals.
Uday Kumar Javangula: Right.
Omprakash N: So maybe that is the cable we are looking for that moment of.
Omprakash N: Apparently, if you have that capability, would like to see that separately.
Uday Kumar Javangula: Yeah.
Uday Kumar Javangula: Yeah, we need to customize.
Omprakash N: Maybe not today.
Uday Kumar Javangula: Yeah, we need to customize it.
Omprakash N: Not to live in.
Uday Kumar Javangula: It is possible and it customize it.
Omprakash N: OK dokey.
Omprakash N: It's good.
Omprakash N: Thanks for the time today and Preethy was nice discussion.
Preethy Raghu: Thank you, Sir.
Omprakash N: Appreciate your time and effort. Thanks.
Uday Kumar Javangula: Thank you, Sir.
Preethy Raghu: Thank you so much. Yeah.
John Solomon: Thanks.
Uday Kumar Javangula: Thanks. Bye.
Augustine Anandkumar: Thank you.
Omprakash N: Thank you.
Omprakash N: Thank you. Thank.
Omprakash N: Thank you.
Uday Kumar Javangula: Yeah.
Augustine Anandkumar: Thanks everyone.
Uday Kumar Javangula: Thanks everyone for your time.
Omprakash N: Thank you.
Omprakash N: Too thanks.
Augustine Anandkumar: Be the fact you with the case studies.
Augustine Anandkumar: Uh, so sorry.
Augustine Anandkumar: I mean, uh, the four use cases, it she we'll share it with you once you gets ready.
Preethy Raghu: The use cases, yeah.
Uday Kumar Javangula: To use case and that's for sure.
Preethy Raghu: Sure, Augustine.
Uday Kumar Javangula: OK.
Augustine Anandkumar: Yeah.
Augustine Anandkumar: Thank you.
Uday Kumar Javangula: Should I guess?
Preethy Raghu: Thank you so much.
Omprakash N: Thank you.
Uday Kumar Javangula: Thank you.
Preethy Raghu: Thanks for your time.
Omprakash N: Bye.
Omprakash N: Thank you.
Uday Kumar Javangula: Thank you. Bye.