Most AI products don’t fail.
They just lose a little performance everywhere.
We built Respan for that entire loop, and that’s the idea behind our new film.
Filters used to be for fields.
Now they can search the actual content of your LLM generations.
With full-text search, you can filter generations by what was said inside the message, not just attributes like model, user, status, or metadata.
Much easier when you know what
Introducing Respan P-1, the world’s best privacy model.
Every AI application handles sensitive data. Existing approaches to protecting it force a tradeoff between accuracy, latency, and cost.
We built P-1 to eliminate that tradeoff.
P-1 sets a new state of the art for
A 6-minute speedrun of agent observability, all in one place.
Gateway, traces, evals, prompts, red teaming, and more.
Find what broke, understand why, fix it, and verify the fix without jumping between tools.
This is Respan.
You can't set an alert on "the AI's answer was wrong."
That's the line between monitoring and observability. Most teams only have one side of it.
Respan tells you what changed, then takes you right to the run behind it. 🧵
