The safe data collaboration platform

integrate.ai is the safe data collaboration platform that enables data science leaders to activate data silos by moving models, not data.

How it works

Safe data collaboration with federated analytics and AI

Get started in 3 simple steps

Jumpstart your mission critical AI and analytics use cases

1

Connect your data

Create an account, and install the SDK, and connect Smart Task Runners on a selected cloud platform

2

Invite your partners

Securely connect your partners data across clouds and environments

3

Turbocharge your use cases

Enable your partners to enhance their models and train new models with new intelligence

Empower users with a complete data science toolset

Data scientists and researchers get the tools they need for their end-to-end workflow

Model training

Train deep learning models, GLMs, CNNs, LSTMs, Transformers, FFNNs, decision trees, and more.

Exploratory data analysis

Calculate statistics and generate visualizations to understand datasets individually and in aggregate.

Feature engineering

Run data cleaning and generate new features on decentralized data to prepare for model training.

Privacy and trust built since product conception

Safe data collaboration with built-in privacy, security, and compliance

Privacy by design

Raw data never leaves the data custodian's environment. Federated data science tools with embedded Privacy Enhancing Technologies enable analytics and AI without revealing PII from source data.

Security by design

End-to-end security enables dynamic collaboration topologies without complex security configurations. Secure task runners stay behind the firewall creating a massively reduced cybersecurity attack surface.

Compliance by design

Out-of-the-box compliance with a broad range of data protection regulations and common contractual obligations. Data residency compliance by design through federated architecture.

Variety of networks enabled

Safe data collaboration with built-in privacy, security, and compliance

Single party projects

Break down internal data silos across departments, subsidiaries, geographies, and environments.Enable multinational data science, cross-banner analysis, open data research, and multi-cloud analytics & Al.

1:1 partnerships

Safely collaborate with external data partners to utilize data you otherwise could not access. Enable supply chain logistics, co-marketing/selling, partnership/M&A evaluation, Hospital operations

Clean intelligence networks

Create dynamic intelligence networks with multiple partners, at any scale, with any data, anywhere. Enable modern clinical trials, Al drug discovery, risk modelling, and fraud detection / AML.

Use cases

Medical diagnostics

Create an account, and install the SDK, and connect Smart Task Runners on a selected cloud platform

M&A evaluation

Connect new data sources from trusted partners across clouds and environments

Cross-brand analysis

Connect new data sources from trusted partners across clouds and environments

Medical research

Train models on health data (e.g., genomic data, PHI) from multiple institutions to advance research (e.g., drug discovery, COVID-19 research)

New data partnership evaluation

Easily evaluate the utility of external datasets with your internal assets

Risk Underwriting

Train models on data from insurers, financial institutions, and partners to enable actuarial groups to better underwrite risk

Hospital operations

Train models on data from insurers, financial institutions, and partners to enable actuarial groups to better underwrite risk

Safe data monetization

Make your data products Already by making your data available for partners to run data science jobs on safely

Fraud detection

Train models on data from multiple financial institutions and retailers to better predict fraudulent transactions and activities
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