We build a AI Observability platform to helps AI engineers understand AI apps and infra to make them work better in production.
We're focused on making observability for AI workloads in production simple and effective so that everyone can benefit from reliable & cost-effective AI.
Observe your AI apps and cloud infra they run on to understand how to make them work better.
- Discover components that build up your AI app and their dependencies to understand how your app works.
- Observe execution of your app & consumption of AI infra to understand what impacts operation of your app.
- Understand the impact of the problem in a human language not logs and what to fix to resolve - the app code, the model or infra components.
- Optimize or resolve the issue automatically through policies on usage, resourcing and more.
Okahu AI Observability Cloud is current in an invite-only preview.
This includes discover and observe capabilities in preview with LLM apps built using Langchain, OpenAI & Triton running in the cloud. Contact us for other AI app & infra systems.
You'll need
- An Okahu AI Observability Cloud tenant
- A sample AI app hosted in the cloud
- Get a simple python chatbot app here that you can run in Github Codespaces.
- Requires an OpenAI API key.
- Get a simple python chatbot app here that you can run in Github Codespaces.
Drop us a note at dx@okahu.ai or leave a comment on any of our public repos.
Check out www.okahu.ai for more about us.