
Acuratio offers a Multicloud Federated Learning Platform that enables organizations to unlock the value of data by combining datasets without compromising privacy. This platform supports both horizontal and vertical federated learning, as well as private analytics, leveraging techniques like Split Learning, Federated Averaging, and Private Join & Compute. It allows companies to train more accurate machine learning models and compute aggregate statistics while preserving data and model privacy, addressing challenges posed by privacy regulations and data silos. The platform is designed for ease of use, from data connection to model deployment, and offers features like differential privacy, secure aggregation, and GPU support. Acuratio aims to democratize access to advanced private learning, with endorsements from notable figures like Ramesh Raskar and Jose Luis Agundez of Banco Santander.

Acuratio offers a Multicloud Federated Learning Platform that enables organizations to unlock the value of data by combining datasets without compromising privacy. This platform supports both horizontal and vertical federated learning, as well as private analytics, leveraging techniques like Split Learning, Federated Averaging, and Private Join & Compute. It allows companies to train more accurate machine learning models and compute aggregate statistics while preserving data and model privacy, addressing challenges posed by privacy regulations and data silos. The platform is designed for ease of use, from data connection to model deployment, and offers features like differential privacy, secure aggregation, and GPU support. Acuratio aims to democratize access to advanced private learning, with endorsements from notable figures like Ramesh Raskar and Jose Luis Agundez of Banco Santander.
Product: Multicloud federated learning platform for private model training and private analytics
Founding year: 2017
Founders: Alberto Román; Iker Ceballos
Funding: Seed round (Sep 12, 2017) led by Boost VC
Headcount (approx.): 10
Privacy-preserving machine learning and cross-organization analytics across siloed datasets.
2017
Data and Analytics
“Boost VC (lead investor in disclosed Seed round)”