Conva.AI from Slanglabs (a Google-backed company) is the world's first AI assistant-as-a-service platform.
Conva.AI is the easiest way for developers to create, integrate and maintain an AI Assistant for their apps, without having to get into prompt engineering and other low-level AI nuances.
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Great you've made mobile apps already, not all the startups manage to do this straight away, kudos! Btw, are your assistants built on OpenAI or any other models?
@dmytron Thanks so much! We’re really proud to have the mobile apps ready from the start—it’s a big part of making Conva.AI as accessible and user-friendly as possible. 🙌 As for the models, Conva.AI is versatile and can integrate with various models, including those from OpenAI, as well as other LLMs depending on the use case. We wanted to give developers the flexibility to choose the best fit for their needs. Appreciate your kudos!
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Congrats on the launch! This is a game-changer for app developers, I love seeing products like this make AI more accessible to the public.
@thomasmwhite Thank you so much! We're thrilled to hear that you see Conva.AI as a game-changer for app developers. Making AI more accessible and user-friendly has been our goal from the start, and it's great to know that it's resonating with you. We appreciate your support!
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Congratulations on the launch! You mentioned that !Conva.AI processes unstructured data to produce meaningful structured outputs. What types of structured outputs can !Conva.AI generate?
@lohith_vxv Thank you for the support Lohith! 🎉 Great question—Conva.AI is designed to transform unstructured data into a variety of structured outputs, depending on your specific needs. For example, it can generate structured data such as:
- Actionable Insights: Summarized data or recommendations based on large text datasets.
- Q&A Pairs: Structured question-and-answer formats for building knowledge bases or FAQs.
- Categorized Data: Organizing and classifying unstructured text into predefined categories or tags.
- JSON/XML Outputs: Structured data formats that can be directly integrated into applications for further processing or display.
We’re excited to see how developers use these capabilities to build smarter and more responsive applications. Looking forward to seeing what you create with Conva.AI!
Please try building it yourself at studio.conva.ai
Seems like a big step towards making GenAI way more accessible! Congrats on the launch!
One thing I'm wondering: are you incorporating information from the app into the resulting assistant via some sort of RAG pipeline or are you just using long context models for that?
Congrats on the launch! Seems like a really nice tool :)
I created this shortlink for you that will send users directly to this PH page, in case you feel like the PH link is too long :)
https://shor.tf/conva-ph
Btw shor.tf is currently also launching on PH, feel free to check it out here: https://shor.tf/phunt
@gisderdube Thanks for your support Lukas. And best wishes for the launch of short.tf. Very valuable personal tool and I'll certainly try it out and share it among my network.
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Conva.AI makes it really easy to add an AI assistant to your app. They offer some off-the-shelf capabilities and can also support new capabilities as per our requirement. Once done, we can fine tune the scope of the capability, share some real documents to bind the context of the AI agent and can also use orchestration frameworks to auto-select the right capability based on business rules. This provides a great value to the app users who are able to converse with the application in natural language and get meaningful responses back!
Good job Kumar and Jayaram
@nikhilbansal87 Thank you so much for your kind words and detailed feedback! We're glad to hear that you found Conva.AI easy to integrate and versatile in meeting your specific needs. It's great to know that the ability to fine-tune capabilities, bind the AI’s context with real documents, and use orchestration frameworks is adding value to your app. We’re committed to making the user experience as seamless and effective as possible. Thanks again for the support, really appreciate the shoutout!
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This looks like a very interesting solution with wide use cases across all SaaS products. Congratulations on your launch!
@karan_jhaveri thanks for the shoutout. Yes we wanted it to be as applicable across a wide range but yet automatically optimize the agents for specific verticals and usecases
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