Nothing gets in. Nothing gets out. Nothing goes rogue.

THE SOLUTION FOR THE AI CYBER NIGHTMARE.

EscrowAI's next-level confidential & Verifiable AI computing protects your proprietary models and sensitive data from outside attack — and enforces exactly what your AI models and agents are allowed to do, with an immutable record proving they stayed inside the lines.

Train and Deploy with Confidence Not Just Hope 

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Accelerating AI development and deployment with a secure collaboration platform for AI developers and data providers 

 


 



Trusted By Leaders in Healthcare and Technology

While LLMs and autonomous agents have accelerated creation of AI pilots, enterprise scaling and business collaborations are hamstrung by cyber and compliance risk, eroding ROI.

EscrowAI’s secure collaboration platform protects models and agents as they compute on curated, encrypted, data in the data controller’s protected environment.

No one sees either the sensitive data or the AI model IP which means the risk of data loss or exposure and autonomous agent misbehavior are eliminated.

Business Innovation at Agentic Speed
Confidentially, Verifiably, and Safely!

Here's how BeeKeeperAI® works:

Key differentiators for BeeKeeperAI®

Data is Never Seen or Shared

The data never leaves the data steward’s secure, HIPAA compliant environment.

Computing on Real World, Protected Information

Uses primary data–from the original source– rather than synthetic or de-identified data. The data is always encrypted.

Intellectual Property is Never Seen or Shared

The algorithm is always encrypted: at the time it is uploaded to EscrowAI, while it travels in the container to the data steward, and within the data steward’s secure environment.

Secure Enclave Technology

EscrowAI leverages secure enclave technology eliminating the risk of data exfiltration and interrogation of the algorithm IP during computing.

Middleman and Matchmaker

BeeKeeperAI® acts as the middleman & matchmaker between data stewards and algorithm developers, reducing time, effort, and costs of data projects by over 50%.