Federated learning and analytics for SaaS

Train models that deliver more value to your customers with machine learning and analytics on your customers' distributed data.

Your customers' data is valuable... but hard to get.

Your customers generate a lot of data on your platform, that could enable you to train and deliver more powerful models.

But much of that data lives on your customers' servers. And as sensitivity around data privacy and data sovereignty continue to grow, your customers don't want to share it.

Access more customer data, without centralizing it.

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, so that you can train models on more data.

Learn more about integrate.ai

Your customers' data never moves off their servers.

Integrate seamlessly and quickly using our SDK.

Deploy easily on integrate.ai secure architecture.

Protect PII and other sensitive information with differential privacy.

Save engineering time with managed infrastructure.

Empower your data scientists with tools for their entire workflow.

Federated learning and analytics for SaaS

Your customers' data is valuable... but hard to get.

Access more customer data, without centralizing it.

Accelerate your SaaS product roadmap.

Learn

Steve Irvine

Unlocking the Full Potential of AI: The Critical Role of Contextual, Ecosystem-Driven Data

Steve Irvine

Unlocking the Full Potential of AI: The Critical Role of Contextual, Ecosystem-Driven Data

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 SaaS

First Party Data

Your customers' data is valuable... but hard to get.

Integrate.ai

Access more customer data, without centralizing it.

Use Cases

Accelerate your SaaS product roadmap.

blog

Learn

Steve Irvine

Unlocking the Full Potential of AI: The Critical Role of Contextual, Ecosystem-Driven Data

Steve Irvine

Unlocking the Full Potential of AI: The Critical Role of Contextual, Ecosystem-Driven Data

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