Papaya
Continuous optimization for AI agents
About
Papaya is the optimization engine for AI agents. Engineers don't have time to continually improve the agents they've shipped — the context bloat, overly chatty subagents, and broken tool calls sit in production traces nobody reads, quietly hurting agent efficiency. With Papaya they connect their agent directly via SDK, get actionable recommendations on how to improve quality, latency, and cost, and the ones they approve are pushed to production as pull requests.
Papaya runs 200+ research-backed analyses across context, prompts, prompt caching, subagents, and tool calls. Every recommendation is ranked by impact and comes with the production runs that produced it — typically a 10%+ quality improvement on the first workflow analysis.
Topics
- Location
- San Francisco, CA, United States
- Team size
- 3 employees
- YC batch
- Fall 2026
- Status
- Active
- Stage
- Early stage
