Blog - BeeKeeperAI, Inc.

INTEL OPTIMIZED CASE STUDY SERIES: BeeKeeperAI Secures AI Algorithms with Infrastructure from Intel, Microsoft, and Fortanix

Jul 6, 2022

1 min read

5267 views

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

Jun 29, 2022

4 min read

4795 views

Solving the Data Access Challenge in Healthcare AI Using Confidential Computing

Many companies claim to provide secure environments for developing artificial intelligence-based algorithms and models for healthcare use. But the pace of development has remained painfully slow. A major challenge is that most algorithm developers only have access to limited, often narrow datasets to validate and train their models. As a result, the models are not generalizable across different clinical settings.

W…

INTEL SOLUTION BRIEF: Confidential Computing Platform Helps Accelerate Healthcare AI from Concept to the Clinic

Jun 10, 2022

1 min read

5844 views

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

Jun 10, 2022

4 min read

4521 views

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 t…

PRESS RELEASE: BeeKeeperAI Spins Out of UCSF to Accelerate Healthcare AI Development with Privacy-Preserving Technology Innovation

Apr 26, 2022

5 min read

8142 views

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, S…

Securing Healthcare AI with Confidential Computing

Aug 6, 2021

13 min read

8383 views

The following guest post is re-posted with permission from Richard Searle, Customer Solutions Director, Fortanix.

Contextual Focus on Healthcare

The events of 2020 have placed healthcare and medical research at the forefront of public discourse and topical interest. The quest for an effective vaccine to counter the severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) virus and its manifestation in the disease COVID-19 has introduced sampling, statistical analysis, and the r…