Many companies anticipate huge benefits from machine learning, but cannot access the data they need due to privacy or regulatory concerns. Acuratio’s platform allows companies to leverage and combine different types of data to develop more accurate models or compute aggregate statistics, while preserving both model and data privacy.
Train a ML Learning model with distributed examples of the same data with Split Learning or Federated Averaging. Example: Data localization, fraud, risk, forecasting…Learn More
Combine two or more data sources with a common set of users but different features with Split Learning and Private Set intersection.
Example: Pricing, retention…
Keep individual information private while allowing organizations to compute aggregate statistics or segment your audience, Private Join & Compute. Example: conversion, cohorts...Learn More
Utility and privacy without tradeoffs, get insights or improve your machine learning models by incorporating new sources of data, without sacrificing model or data privacy.
From data to production, create project, connect data, train model, test model.
Connect your data lake. On the cloud or on-prem.
Deploy your current TensorFlow models or compute aggregated statistics.
Share, monetize or get insights from your data.
The most complete Federated Learning platform.
Privately train, deploy, serve, and manage Machine Learning Models.
|Vertical Federated Learning Different configurations that suit your needs.
|Horizontal Federated Learning Federated Averaging and Split Learning for TensorFlow or Keras.
|Differential Privacy Seamless integration during training.
|Secure Aggregation Protocol For cryptographically private Federated Learning.
|Role Based Authentication Granular access to access to data, models and results.
|Focused Updates Sparse ternary compression and Random Rotation Matrices.
|GPU Support Training and serving performance and efficiency.
|Collaboration Role Based Access Control and Team Management.
|Audit Logs Monitor access to your data.
|Multicloud On-premise, cloud and hybrid deployments.
|Model Serving Seamless deployment of ML models.
|Personalized Support Get quick responses and solutions from our experts.
Describe your problem or use case and we will get in touch with a solution