Athina - Build, test and monitor AI apps and agents

byβ€’
Athina is a complete AI development platform that enables AI teams to build, test, and monitor LLM-powered applications. Teams can collaborate on prompts, flows and datasets, run experiments, compare / measure LLM outputs and monitor in production.

Add a comment

Replies

Best
Hey PH, I'm Shiv, a co-founder of Athina AI. Building GenAI applications is a lot of hard work. Most teams are able to build prototypes quickly, but end up spending months getting their AI to work well in production. A big part of the problem is a lack of good tooling. We've seen countless teams using scripts, python notebooks, spreadsheets, and even google docs to work with their prompts and datasets. But these tools are not designed for building production-ready AI. πŸ˜₯ Which is why many teams including unicorns like Perplexity, Meesho, and Doximity are choosing to use Athina... πŸ™Œ We've spent the last 1.5 years building a comprehensive platform for teams building production-grade AI features. Athina is an end-to-end LLM development platform that teams can use across the AI development lifecycle: βœ… Prompt Management: Manage, iterate, test and version control prompts βœ… Flows: Build powerful multi-step AI workflows in a notebook βœ… Datasets: Work with your datasets in a powerful spreadsheet-like UI βœ… Evaluation: Run evals on uploaded datasets, in CI / CD, or automatically on traces βœ… Experiments: Run experiments to compare outputs from different prompts / models βœ… Annotation: Have humans annotate your datasets for RLHF or human evaluation. βœ… Observability: Log traces, run evals continuously in production and monitor for regressions And here's the best part – Athina is designed for both non-technical AND technical users to collaborate. So your entire team can work together to build AI features without being bottlenecked on engineers to build flows or run experiments. No-code + SDK! πŸ”₯ ----- 🟠 We're backed by Y Combinator and have been working with some of the best AI teams in the world over the last year. We're really excited to finally bring this platform to Product Hunt for everyone! 🌐 Website: πŸ—“οΈ If you're interested in learning more, or seeing a demo, please feel free to get in touch with us:
Athina looks like a solid solution for streamlining AI development. The full stack from prompt management to observability is impressive. How does the platform handle version control for datasets and experiments? Looking forward to learning more
looks really powerful! Can’t wait to try it. Congrats on all the progress!! πŸš€
The LLM platform every product team needs - congratulations guys!!!
thank you!
Looks insanely cool, might even be able to use this for a current project we're running - I have to say, big fan of the name too - That was what initially caught my eye.
Glad to hear that, ! Let's connect to discuss this better. Checked out Cranq- looks pretty useful for us too!
Athina has a broad set of powerful tools. We use it from prototyping a new idea, to refining it, to monitoring it production.
Thank you! We love working with you and are exciting for more to come πŸ‘
Awesome team! Highly recommend getting a demo with
thank you!
Great job guys! We've been using Athina and it's a MUST have tool in your AI team!
Thank you Michael! It's been great working with you as well, and seeing your growth πŸš€
Congratulations on the launch! We've been using Athina AI and it's been saving us so much time with our annotations. Previously, we'd have to curate our datasets amongst different annotators on Google Sheets and it's a massively painful process. With Athina, we're able to curate our datasets (with inter-annotator agreements) much more easily and create much higher quality Evals.
Thanks Jason! Love working with you, and excited to collaborate more closely :)
This is a game-changer! Great job, guys!
Thanks! It's been great working with your team :)
It's a great product: comprehensive and user-friendly. We initially used Athina primarily for logging, but it has become increasingly integrated into our model development and evaluation process.
Thank you - we love working with your team, and are excited to collaborate more closely πŸ™Œ
Very exciting! Highly recommend, Shiv and team are great.
Thank you!
1234
Next