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
Raw data never leaves the data custodian's environment.
Federated data science tools with embedded Privacy Enhancing Technologies enable analytics and Al without revealing PIl from source data.
1:1 partnerships
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.
Clean intelligence networks
Out-of-the-box compliance with a broad range of data protection regulations and common contractual obligations.
Data residency/ sovereignty compliance by design through federated architecture.
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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