Startup discovery
Papaya.
Find and prioritize improvements to production AI agents
Developer toolsAI and agents
What it does
Papaya examines production agent traces to identify recurring problems with prompts, context, tool use and model choices. It groups runs by workflow and ranks proposed changes by their expected effect on quality, latency and cost. Engineers can inspect the supporting runs, approve a fix and receive a pull request, while monitoring whether the change holds up in later traffic.
Engineering teams spend time manually reviewing traces to find agent failures and performance regressions.
- Stage
- Live
- Made for
- Engineering teams running AI agents in production
- Platforms
- Web
- Company
- Nile AI Inc.
- Founded
- 2026
- Website
- papaya.fyi ↗
Timeline
- Papaya introduces its agent optimization platform
The founders presented Papaya on Launch YC and invited teams to connect their production agents.
First release · Announced · Proposed by @ngoalong123
Sources
- Official website
- Papaya company profile at Y Combinator
- Papaya pricing plans
- Papaya terms identifying Nile AI Inc.
- Original 512-pixel Papaya logo served by its official website
Contributor credit
This profile adapts text by @ngoalong123 from profile PR #86, licensed under CC BY 4.0. Its factual claims were reviewed separately.
Publication record
- Release
sha256:ac5dd8d905c00eace5353304a9456358eede4224f3a935465432ab184b4d049a- Revision
sha256:4ef1e56158efa4f203921e5b5dd59b1832cfe93bac815fa2cfd5fd9b42147d78
Every statement here carries its date and stays true as of that date.