AI infrastructure

Playgent

Website
Founded 2025Origin source ↗Checked 2026-09-15

Overview

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.

Company description As recorded 2026-11-08

Product & workflow

We'll help you integrate our data into your training pipeline and start improving your agents' performance on financial tasks.

Source-reported As recorded 2026-10-16

Founders & team

Previously Pharmie AI

Company history As recorded 2026-11-08

Neer Jain

Founder/CEO

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 -- neer@useplaygent.com

Founder profile As recorded 2026-09-15

Aniruddh Sriram

Founder/CTO

Hi! I’m Aniruddh - co-founder of Playgent! We are building sandboxes for AI agents. I did 4 years of NLP research with publications in EMNLP/ACL and was on-route to pursue a PhD when I decided to join YC. In my free time, I like writing articles on Medium, playing basketball, and doing acrylic art. You can reach me at aniruddh@useplaygent.com!

Founder profile As recorded 2026-09-15
2team members reported
Source-reported As recorded 2026-09-15

Founded 2025 · Source

News & product activity

Sources & observations

Y Combinator

Profile depthverified profile
Website observationwebsite reachable
Last website check2026-11-11
Location · source statedSan Francisco, CA, USA
Pricing evidenceNo pricing page confirmed
Maturity: Not assessed · 3 of 6 areas documented

Source-based assessment · automated evidence rules

The retained text does not establish product availability or customer use.

Maturity is an evidence-based assessment, not a success rating. It may understate the current stage where evidence is limited. Coverage records documented areas, not a complete or independently audited company history.

Stage definitions
independent websitesource corroborationreachable websitedescriptive evidenceclassified market and modelsourced peoplesourced founding year