Federated learning and analytics for precision medicine

Empower researchers and data scientists to make new, life-saving discoveries on your platform, with machine learning and analytics on distributed data from around the world.

Read the Whitepaper

Moving health data is impractical.

Until now, machine learning and analytics for precision medicine meant centralizing the data.

But moving high volumes of clinical, genomic, and research data is cost-prohibitive, regulations like HIPAA and GDPR limit movement across borders, and data custodians want to retain control of their data.

The MLOps toolkit for distributed health data.

With integrate.ai's production-ready, API-based platform, stand up federated machine learning and analytics across data on your platform in less than a week. Increase collaboration in precision medicine while complying with GDPR and HIPAA.

Learn more about integrate.ai

Stop moving data for machine learning and analytics.

Protect personal health information with differential privacy.

Integrate seamlessly and quickly using our SDK.

Save engineering time with managed infrastructure.

Deploy easily on integrate.ai secure architecture.

Empower users with tools for the entire data science workflow.

Accelerate your precision medicine product roadmap

Health data platforms: Expand collaboration with clinical and research health data on your platform.

Precision medicine software: Improve the performance of your predictive models with access to more data.

Genomics software: Enable access to more genomics data from more institutions within your platform.

Federated learning and analytics for precision medicine

Moving health data is impractical.

The MLOps toolkit for distributed health data.

Accelerate your precision medicine product roadmap

Learn

Frédéric Ratle

The Data Conundrum: Open Source AI Is Not As Open As You Think

Frédéric Ratle

The Data Conundrum: Open Source AI Is Not As Open As You Think

Steve Irvine

integrate.ai Selected as Federated Learning Technology Partner to Power One of World’s Largest Precision Health Consortia

Steve Irvine

integrate.ai Selected as Federated Learning Technology Partner to Power One of World’s Largest Precision Health Consortia

Nasron Cheong

Identifying the right use cases for federated learning and analytics

Nasron Cheong

Identifying the right use cases for federated learning and analytics

Elliot Gordon

5 cost management best practices for ETL pipelines

Elliot Gordon

5 cost management best practices for ETL pipelines

Nasron Cheong

Design a federated learning system in seven steps

Nasron Cheong

Design a federated learning system in seven steps

Federated learning and analytics for precision medicine

Health data

Moving health data is impractical.

integrate.ai

The MLOps toolkit for distributed health data.

Use Cases

Accelerate your precision medicine product roadmap

blog

Learn

Frédéric Ratle

The Data Conundrum: Open Source AI Is Not As Open As You Think

Frédéric Ratle

The Data Conundrum: Open Source AI Is Not As Open As You Think

Steve Irvine

integrate.ai Selected as Federated Learning Technology Partner to Power One of World’s Largest Precision Health Consortia

Steve Irvine

integrate.ai Selected as Federated Learning Technology Partner to Power One of World’s Largest Precision Health Consortia

Nasron Cheong

Identifying the right use cases for federated learning and analytics

Nasron Cheong

Identifying the right use cases for federated learning and analytics

Elliot Gordon

5 cost management best practices for ETL pipelines

Elliot Gordon

5 cost management best practices for ETL pipelines

Nasron Cheong

Design a federated learning system in seven steps

Nasron Cheong

Design a federated learning system in seven steps