# BeeKeeperAI, Inc.



## About

**URL:** https://www.beekeeperai.com
**By:** Michael Blum

## Pages

- [Cookie Policy](https://www.beekeeperai.com/cookie-policy)
- [HiveCast: Confidential Computing and PETs](https://www.beekeeperai.com/pet-primer-video): Confidential Computing and 
Privacy-Enhancing Technologies (PETs) with the BeeKeeperAI Team
- [BeeKeeperAI And GAI - Press Release](https://www.beekeeperai.com/beekeeperai-gai-usgov-press-release)
- [BeeKeeperAI and cStructure Collaborate to Advance Causal AI for Scientific Advancement and Healthcare Innovation Press Release](https://www.beekeeperai.com/beekeeper-cstructure-causal-ai): Joint efforts kick off with DREAM Challenge that allows scientists to compute on NIH’s Covid data in a privacy-enhancing environment and experience an unprecedented level of transparency i
- [Nordic and BeeKeeperAI Partner - Press Release](https://www.beekeeperai.com/nordic-beekeeperai-point-of-care-ai-press-release)
- [BeeKeeperAI Enables Icahn School of Medicine at Mount Sinai and Morehouse School of Medicine to Test the Performance of Healthcare AI Models in Their Environments Press Release](https://www.beekeeperai.com/beekeeperai-icahn-mountsinai-morehouse-aimodels): First CHAI-Certified Collaboration Accelerates AI Validation and Adoption for Underserved Populations
- [BeeKeeperAI and Topcon Healthcare - Press Release](https://www.beekeeperai.com/beekeeperai-topcon-healthcare-press-release-10-2024)
- [BeeKeeperAI Expands Privacy-Enhancing Innovation with New Patent, New Product, and New Advantages to Accelerate Responsible AI in Healthcare](https://www.beekeeperai.com/beekeeperai-privacy-enhancing-innovation-press-release): BeeKeeperAI enters a new phase of growth as an independent company focused on enabling secure collaborations between data stewards and algorithm developers.
- [BeeKeeperAI™ Applies Sightless Computing Pediatric Rare Disease Press Release](https://www.beekeeperai.com/beekeeperai-novartis-pediatric-rare-disease-press-release): BeeKeeperAI, the pioneer in sightless computing on protected data, today announced that it worked with scientists from Novartis Biome’s Evidence Lab and the University of California, San Francisco (UCSF) to train and validate an algorithm to predict instances of a rare childhood condition using real patient data from health records. This project marks the first time that confidential computing technology has been leveraged to support sightless computation by an algorithm against protected health information. 
- [BeeKeeperAI™ Spins Out of UCSF Press Release](https://www.beekeeperai.com/pr-spin-out-from-ucsf): BeeKeeperAI enters a new phase of growth as an independent company focused on enabling secure collaborations between data stewards and algorithm developers.
- [BeeKeeperAI™ Announces V 1.0 Patented Zero-Trust Platform for Healthcare AI Press Release](https://www.beekeeperai.com/beekeeperai-patent-healthcare-ai-press-release): Available now in the Microsoft Azure Marketplace, the EscrowAI™ privacy-preserving collaboration platform delivers a zero-trust environment protecting both algorithm intellectual property and real-world data 
- [Privacy](https://www.beekeeperai.com/privacy)
- [Microsoft Collaboration with BeeKeeperAI™ Press Release](https://www.beekeeperai.com/pr-collaboration-microsoft): Growing demand for a platform to enable secure collaboration between data stewards and algorithm developers spurs application of zero trust, confidential computing in healthcare
- [BeeKeeperAI™ Raises $12.1M Series A - Press Release](https://www.beekeeperai.com/beekeeperai-raises-seriesa-press-release): BeeKeeperAI enters a new phase of growth as an independent company focused on enabling secure collaborations between data stewards and algorithm developers.
- [Intellectual Property](https://www.beekeeperai.com/ip)
- [The HiveCast](https://www.beekeeperai.com/hivecast): Video Podcasts featuring BeeKeeperAI™
- [Press Releases](https://www.beekeeperai.com/press-releases)
- [Contact Us](https://www.beekeeperai.com/contact): Accelerating healthcare AI through a secure collaboration platform for algorithm owners and data stewards. Get in touch with us!
- [Media Mentions](https://www.beekeeperai.com/media)
- [Solution](https://www.beekeeperai.com/solution): While others have developed solutions based on de-identified or synthetic data, we believe that the best approach is to remove the barriers to data access.

In designing BeeKeeperAI™, we took advantage of recent advances in privacy preserving computing technologies that support highly secure computing enclaves,
end-to-end data and algorithm encryption that ensures data security, and federated algorithm validation and training.

BeeKeeperAI™ uses privacy-preserving analytics on multi-institutional sources of protected data in a confidential computing environment including end-to-end encryption, secure computing enclaves, and Intel’s latest SGX enabled processors to comprehensively protect the data and the algorithm IP.

Protected Cloud Storage
Encrypted Primary Data
Healthcare Specific Tools & Workflows
Secure Enclave Technology
Middleman & Matchmaker
- [Our Company](https://www.beekeeperai.com/company): BeeKeeperAI™ was created at UCSF’s Center for Digital Health Innovation (CDHI) to solve the healthcare data access problem.

As we developed clinical AI at CDHI, we were experiencing the same data acquisition challenges that currently plague all healthcare AI algorithm developers and researchers.

While our algorithms were developed on high quality data sets and continued to perform very well on local clinical data, they did not perform as well when exposed to diverse real world data.
- [We Build for Trust](https://www.beekeeperai.com/): Accelerating healthcare AI through a secure collaboration platform for algorithm owners and data stewards.

In today’s environment, it takes approximately 3 years and $5M per model to achieve generalizability. To date, not even 40 models have been approved by the FDA with only two of those considered truly novel.

This is an unacceptable pace of innovation.

For algorithm owners, BeeKeeperAI™ is winning back time and reducing the cost of developing generalizable AI. For data stewards, BeeKeeperAI™ is leveraging data, within their private cloud infrastructure, to generate new revenue streams in support of care delivery and advancing scientific discovery and innovation.

## Blog

- [How De-Identified Data is Preventing Healthcare AI From Achieving Its Promise](https://www.beekeeperai.com/blog/111180-de-identified-data) by Josh Blum (Oct 8, 2025): Algorithm developers have created sophisticated AI models using de-identified data and they are often deployed into the complexity of clinical environments unprepared for the nuanced realities they will encounter. Just as autonomous vehicles needed real roads after virtual simulations, healthcare AI needs access to real patient data to truly serve the people it's meant to protect.
- [Confidential Computing: Unlocking the Power of Real-World Data](https://www.beekeeperai.com/blog/107894-confidential-computing) by Josh Blum (Jun 16, 2025)
- [Breaking the Bottleneck of AI Innovation: Mount Sinai and Morehouse Create First CHAI-Certified AI Testing Capability Powered by EscrowAI](https://www.beekeeperai.com/blog/107553-setting-a-chai-testing-standard-bkai) by Josh Blum (May 27, 2025)
- [Who Benefits Most from Causal AI in Healthcare?  ](https://www.beekeeperai.com/blog/107341-who-benefits-most-from-causal-ai-in-healthcare) by Michael Blum (May 22, 2025): Causal models offer significant advantages in healthcare AI, particularly in decision-making, risk assessment, and treatment optimization. But who exactly stands to benefit the most?  Here’s a breakdown of top customer categories and how causal AI supports their unique needs
- [Unlocking AI’s Full Potential with Privacy-Preserving Causal Modeling](https://www.beekeeperai.com/blog/107206-unlocking-ai-full-potential-privacy-preserving-causal-modeling) by Michael Blum (May 15, 2025): Today, BeeKeeperAI and cStructure unveil a transformative solution that protects sensitive healthcare data while uncovering the causal relationships within it. By combining causal modeling with privacy-preserving technology, we're creating AI that doesn't just correlate symptoms with outcomes but illuminates why they connect—enabling powerful medical insights without compromising patient trust.
- [Breaking Down the Barriers to Confidential Computing: A CIO, CSO, and CTO Perspective](https://www.beekeeperai.com/blog/105482-breaking-down-the-barriers-to-confidential-computing) by Michael Blum (Mar 18, 2025)
- [AI’s Last Mile: Low Hurdle or Brick Wall for CIOs, CISOs, and CAIOs?](https://www.beekeeperai.com/blog/104085-ai-s-last-mile-low-hurdle-or-brick-wall) by Michael Blum (Feb 11, 2025): AI adoption in healthcare faces last-mile challenges, from lack of real-world validation to privacy and IP protection concerns to deployment complexities. Discover how EscrowAI takes you over the finish line by removing barriers––enabling secure, real-world AI validation and faster adoption.
- [Patient Privacy at Risk: The Hidden Flaws in Healthcare Data De-identification (And How to Fix Them) ](https://www.beekeeperai.com/blog/102145-patient-privacy-at-risk-the-hidden-flaws-deidentification-solutions) by Michael Blum (Dec 2, 2024)
- [Protecting Federal Data and AI at the Edge: How EdgeShield and EscrowAI Secure Sensor Data and AI for U.S. Government Agencies](https://www.beekeeperai.com/blog/101896-protecting-federal-data-escrow-ai-edgeshield) by Michael Blum (Nov 20, 2024): As the U.S. government leverages data to drive faster, data-driven decision-making, the security of that data is paramount. With the explosion of intelligent IoT devices and the roll-out of 5G, agencies face new challenges in safeguarding data from edge sensors to centralized storage. That’s where Government Acquisitions, Inc.’s (GAI) EdgeShield platform, enhanced with BeeKeeperAI’s EscrowAI, comes in to protect sensitive information and provide actionable insights with unparalleled security.
- [Accelerating CDSS Innovation with BeeKeeperAI and Nordic Global](https://www.beekeeperai.com/blog/101355-accelerating-cdss-innovation-nordic-beekeeperai) by Michael Blum (Oct 16, 2024)
- [Topcon and BeeKeeperAI® Team Up to Accelerate AI for Eye Health While Protecting Privacy](https://www.beekeeperai.com/blog/101293-topcon-and-beekeeperai-team-up) by Michael Blum (Oct 14, 2024): Topcon Healthcare and BeeKeeperAI have revolutionized healthcare AI by integrating privacy-enhancing technology into Topcon's Harmony platform. This breakthrough allows AI developers to work with real-world eye health data without compromising patient privacy. It's a game-changer that accelerates AI development in healthcare, promising faster access to advanced eye care tools while keeping patient data secure and sovereign.
- [Data Privacy & Security: We have reached the point of insanity!](https://www.beekeeperai.com/blog/94292-data-privacy-security-point-of-insanity) by Michael Blum (Jan 24, 2024): Sadly, this lack of security diligence appears to be widespread. BeeKeeperAI recently worked on a federal level grant for infrastructure to enable computing on healthcare data. The request from the government lacked any emphasis on the requirement for data security and privacy protection in the proposed solutions. This was surprising given two Executive Orders addressing data security including the “Improving the Nation’s Cybersecurity” and the “Safe, Secure, and Trustworthy Artificial Intelligence”.
- [4th Quarter Buzz at BeeKeeperAI 🐝](https://www.beekeeperai.com/blog/94262-fourth-quarter-buzz-at-beekeeperai) by Michael Blum (Jan 23, 2024): As we bid farewell to 2023, it's time to look back at a year buzzing with achievements and milestones! We've gathered some sweet highlights from our hive in the last quarter to keep you in the loop. 
- [PRESS RELEASE: BeeKeeperAI Expands Privacy-Enhancing Innovation with New Patent, New Product, and New Advantages to Accelerate Responsible AI in Healthcare](https://www.beekeeperai.com/blog/93116-press-release-beekeeperai-expands) by Michael Blum (Dec 15, 2023)
- [PRESS RELEASE: BeeKeeperAI Announces Commercial Release of its Patented, Zero-Trust Collaboration Platform to Accelerate Healthcare AI Development on Protected Information](https://www.beekeeperai.com/blog/85988-patented-zero-trust-accelerate-ai-healthcare) by Michael Blum (May 17, 2023): Available now in the Microsoft Azure Marketplace, the EscrowAI™ privacy-preserving collaboration platform delivers a zero-trust environment protecting both algorithm intellectual property and real-world data 
- [Generative AI Misses the Mark in Healthcare – What It Needs to Succeed](https://www.beekeeperai.com/blog/85735-generative-ai-misses-the-mark-in-healthcare) by Michael Blum (May 8, 2023): ChatGPT is impacting industry and society in unprecedented ways. The opportunity for GPTs to improve healthcare delivery is enormous, but the technology is immature and not sufficiently reliable for general healthcare use. The AI models need additional training on real-world healthcare data to perform adequately in healthcare, but accessing that data is challenging due to patient privacy concerns. New confidential computing technologies are now available to protect patient data and the AI models, creating a pathway for Generative AI success in healthcare.
- [PRESS RELEASE: BeeKeeperAI Applies Sightless Computing Technology to Pediatric Rare Disease Project](https://www.beekeeperai.com/blog/75646-beekeeperai-spins-out-of-ucsf) by Michael Blum (Oct 24, 2022): Powered by the BeeKeeperAITM sightless computing platform, Novartis scientists used health data from a UCSF patient cohort to refine a disease detection solution for a rare childhood condition

SAN FRANCISCO, Calif. — October 19, 2022 — BeeKeeperAI, the pioneer in sightless computing on protected data, today announced that it worked with scientists from Novartis Biome’s Evidence Lab and the University of California, San Francisco (UCSF) to train and validate an algorithm to predict instances of a rare childhood condition using real patient data from health records. This project marks the first time that confidential computing technology has been leveraged to support sightless computation by an algorithm against protected health information. 
- [INTEL OPTIMIZED CASE STUDY SERIES: BeeKeeperAI Secures AI Algorithms with Infrastructure from Intel, Microsoft, and Fortanix](https://www.beekeeperai.com/blog/72940-case-study-intel-beekeeper-secures-algorithms) by Michael Blum (Jul 6, 2022): BeeKeeperAI working with Intel, Microsoft and Fortanix leveraged their infrastructure developing algorithms projected to improve healthcare results by 30% to 40% while cutting treatment costs nearly 50%.
- [Solving the Data Access Challenge in Healthcare AI Using Confidential Computing](https://www.beekeeperai.com/blog/72818-solving-the-data-access-challenge-in) by Michael Blum (Jun 29, 2022)
- [INTEL SOLUTION BRIEF: Confidential Computing Platform Helps Accelerate Healthcare AI from Concept to the Clinic](https://www.beekeeperai.com/blog/72484-case-study-confidential-computing) by Michael Blum (Jun 10, 2022): Challenge: Lack of data availability for healthcare AI validation is stifling innovation and improvement in patient outcomes
Solution: Privacy-preserving confidential computing on the BeeKeeperAI platform enables collaboration between data stewards and algorithm owners and accelerates validation of Healthcare AI
- [Putting a Halt to the Insanity Surrounding Data Access for Healthcare AI Development & Deployment](https://www.beekeeperai.com/blog/72480-putting-a-halt-to-the-insanity-data-healthcare-ai) by Michael Blum (Jun 10, 2022): Given the data access challenges, it is not surprising that many AI algorithms have performance problems. We have all seen the articles that highlight inherent biases in data that reduce the accuracy of healthcare AI models, lack of generalizability, as well as issues with algorithm drift when the models are exposed to new data. At BeeKeeperAI, we are developing innovative tools for healthcare artificial intelligence lifecycle management that will ultimately improve patient outcomes and reduce treatment costs. With our technology, algorithm developers get enough prospective and retrospective data to properly train their algorithms. And data stewards have a way to share information without worrying about unintentionally compromising patient privacy. To learn more, click here to get in touch with us. 
- [PRESS RELEASE: BeeKeeperAI Spins Out of UCSF to Accelerate Healthcare AI Development with Privacy-Preserving Technology Innovation](https://www.beekeeperai.com/blog/70330-beekeeperai-spins-out-of-ucsf) by Michael Blum (Apr 26, 2022): BeeKeeperAI enters a new phase of growth as an independent company focused on enabling secure collaborations between data stewards and algorithm developers

SAN FRANCISCO – April 26, 2022 – BeeKeeperAI, the pioneer in zero-trust, confidential computing and privacy preserving analytics for the training, validation, and deployment of artificial intelligence (AI) in healthcare, today announced a critical milestone as it completed licensing of its core technology from the University of California, San Francisco (UCSF), where it was developed in UCSF’s Center for Digital Health Innovation (CDHI). The company also announced that Michael Blum, MD, UCSF’s Associate Vice Chancellor for Informatics and Chief Digital Transformation Officer, will be taking a leave of absence from UCSF to lead BeeKeeperAI and become the founding Chief Executive Officer.
- [Securing Healthcare AI with Confidential Computing](https://www.beekeeperai.com/blog/58111-securing-healthcare-ai-with-confidential) by Michael Blum (Aug 6, 2021)