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Parachute

Infrastructure for hospitals to monitor and deploy clinical AI

Parachute helps hospitals adopt AI safely and at scale. We vet AI tools that fill clinical gaps, run state-of-the-art evaluations, monitor every model for drift and compliance, and lock every decision in an immutable audit trail.
Active Founders
Aria Vikram
Aria Vikram
Founder
Co-founder & CEO @ Parachute. Previously NLP Researcher @ Columbia; deployed AI chatbots for doctors @ CUIMC. Google Code-In Grand Prize winner, RSI alum, and USAID awardee.
Tony Yamin
Tony Yamin
Founder
Co-Founder & CTO @ Parachute; turned down offers from Google and BlackRock. Previously built machine-learning infrastructure for the U.S. Department of Defense at Booz Allen. Best AI @ HackPrinceton and Finalist @ YaleHack.
Company Launches
Parachute: Evaluate, Deploy, and Monitor Clinical AI
See original launch post

Hey everyone!

We’re Aria & Tony, co-founders of Parachute – the end-to-end governance infrastructure that helps hospitals adopt AI safely and at scale.

TL;DR:

Parachute helps health systems evaluate, deploy, and monitor every AI tool they touch – whether it’s an Epic plug-in, vendor model, or in-house imaging model.

https://youtu.be/tRvaL0LaWOI?feature=shared

Why we built this

During our time spent deploying AI at Columbia University Irving Medical Center (CUIMC), we kept seeing the same issues:

  • 2,000+ clinical AI tools have hit the market
  • New rules (HTI-1, Colorado AI Act, CA SB 3030, White House AI Action Plan) demand auditable proof of safety, equity, and efficacy
  • Lean IT teams can’t possibly vet and watch every model, and a single failure can cost lives and trigger seven-figure settlements

Great innovations die in pilot hell because the infrastructure to deploy AI tools simply does not exist.

That’s why we built Parachute and why CUIMC now uses it to track live models in real time.

🪂 How Parachute works

1. Vendor discovery and vetting
AI agents map the hospital’s gaps and goals to the best AI tools on the market, while our review engine flags any compliance issues in vendor documentation.

2. State-of-the-art benchmarking and evaluations
Our automated scoring and stress testing helps decision makers identify the best-fit options.

3. Real-time observability
Once a tool is adopted, Parachute monitors it from inception through post-deployment. We automate real-time tracking of performance, drift, and bias – alerting you the moment any metric slips below threshold.

4. Immutable audit trail

Every approval, test, change, and runtime metric around a model is documented and audit-ready for regulators.

Call to action

Hospital leaders: Want stalled pilots live before 2026, access to the world’s best AI tools, an audit-proof evidence trail and hands-free monitoring?

AI vendors: Want your product listed in the only marketplace that maps directly to hospital gaps and compliance needs?

Reach us at founders@parachute-ai.com or book a meeting here.

For more information visit: parachute-ai.com

Launch Offer

YC AI companies: 50% off a marketplace listing.

Parachute
Founded:2025
Batch:Summer 2025
Team Size:2
Status:
Active
Location:San Francisco
Primary Partner:Harj Taggar