Connected World

Unleash the potential of Data

With Acuratio's Multicloud Federated Learning Platform organizations around the world are able to unlock the value of data by combining datasets without compromising privacy.

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Breaking Down Silos

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.

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Horizontal Federated

Train a ML Learning model with distributed examples of the same data. Example: Data localization, fraud, risk, forecasting…

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Vertical Federated

Combine two or more data sources with a common set of users but different features.
Example: Pricing, retention…

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Private Join & Compute

Keep individual information private while allowing organizations to compute aggregate statistics. Example: conversion...

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Multicloud Federated Learning

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.

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Multicloud
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On Premise
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Ease of use
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Data Privacy
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Model Privacy
Acuratio Platform

Ease of Use

From data to production, create project, connect data, train model, test model.

1
Install the platform

Connect your data lake. On the cloud or on-prem.

2
Train adding a few lines of code

Deploy your current TensorFlow models or compute aggregated statistics.

3
Unlock your data!

Share, monetize or get insights from your data.

Acuratio Platform
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Features

The most complete Federated Learning platform.
Privately train, deploy, serve, and manage Machine Learning Models.

Teams Edition Enterprise Edition
Vertical Federated Learning Different configurations that suit your needs.
Horizontal Federated Learning Federated Averaging for TensorFlow and Keras.
Differential Privacy Seamless integration during training.
Secure Aggregation Protocol For cryptographically private Federated Learning.
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.
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“The Best Production-Grade Federated Learning Platform”

Jose Luis Agundez
Global Head of Data Architecture at Banco Santander

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We’ll never share your details. See our Privacy Policy