When enterprise agents fail in production, the conditions that caused the failure are critical: user state, data, tool calls, and context. Without a way to recreate these conditions, teams can't fix what broke.
Playgent provides infrastructure to create high-fidelity sandbox environments for AI agents. Our environments come packaged as a single MCP url where tool calls are mocked, authentication is abstracted away, and test data can be initialized via natural language or JSON specifications.
Teams can use Playgent to reproduce production failures in safe, scoped environments that accurately reconstruct state. Finally, export runs as OTel traces from Playgent's environment to plug directly into your observability tools or RL pipelines.
Last stage
Seed
Investors
Neer Jain
Hey I'm Neer, cofounder of Playgent. We're building an Sandboxes for Agents! In college, I studied Math, Business, and CS at UT Austin and worked in product and engineering roles at multiple early stage AI startups. At Visa, I launched features used by thousands of banks and built internal tools. Feel free to reach out -- [email protected]
LinkedInAniruddh Sriram
4 years of NLP research with publications in EMNLP/ACL; was on route to pursue a PhD before joining YC. Studied at UT Austin.
LinkedInNo applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.