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Tune Insight

EPFL Innovation Park, Bâtiment C, Lausanne, Vaud, 1015, Switzerland

Overview

Tune Insight is a Swiss cybersecurity startup developing privacy-preserving machine learning and interoperability solutions for Electronic Health Records (EHR) in clinical settings. Its current project focuses on a federated learning platform to enable secure, patient-centered research across pediatric emergency departments. The platform is designed to create secure connections among hospitals and serve as a blueprint for collaborative clinical research using advanced privacy technologies. Initial deployment will be in partner hospitals in Italy and Switzerland, with the aim of expanding to the global Pediatric Emergency Research Network. Through that expansion Tune Insight expects to access data from over 100 hospitals and about 2 million pediatric emergency presentations yearly. The company has received recognition in Swiss startup programs and has engaged in seed fundraising activities to support growth. Tune Insight builds a platform that orchestrates secure collaborations on sensitive or confidential data across organisations, domains, and jurisdictions, enabling collective analytics, federated machine learning and approved computations while protecting data in use. The technology applies applied cryptography and privacy-enhancing technologies and was spun out of several years of research at the Swiss Federal Institute of Technology (EPFL) to address personalised healthcare collaboration without transferring patient data. Tune Insight is deployed at University Hospital Zurich, CHUV in Lausanne, Inselspital in Bern and University Spital Basel, powering use cases such as survival analysis for precision oncology and the generation of personalised reference ranges. Its reference-range application leverages a collective dataset of 9 million data points from over 250,000 patients. The platform is also used in law, financial services and cybersecurity, and Tune Insight is extending support for privacy-preserving generative AI. The company aims to reduce data liability, streamline compliance and reinforce data security while enabling cross-jurisdictional collaboration. Tune Insight offers a software solution that lets groups of organizations run collective computations on sensitive data while keeping individual data on each organization’s premises. Its platform uses multiparty homomorphic encryption to perform computations under encryption and only release authorized final results. Customers can define the partner group, the data types to share, and the permitted operations and functionalities for that group. The product targets sectors that cannot freely share data for strategic or regulatory reasons, including health, insurance and cybersecurity. The company plans to expand its development team and create a sales and customer-satisfaction team to move from proofs-of-concept and pre-scale deployments toward recurring licensing revenue. The approach is rooted in years of EPFL research and emphasizes compliance with personal data laws and mitigation of data-leak risks. Tune Insight builds infrastructure-agnostic B2B software that enables secure collaborative analytics and machine learning across multiple organizations without transferring raw data. Its platform can be deployed on-premise or in cloud instances and keeps all communications and computations encrypted. The software enables federated scenarios where participants retain full control of their own data while extracting collective insights. The company emphasizes privacy-enhancing technologies (including homomorphic encryption expertise) and says its approach is fully decentralized, widely scalable, and more secure than federated learning without relying on trusted third-party hardware. The founding team includes CEO and co-founder Juan Ramon Troncoso Pastoriza, co-founder and COO Frédéric Pont, Romain Bouyé, and Prof. Jean-Pierre Hubaux, and the team highlights experience with sensitive health data. Tune Insight plans to capture opportunities across multiple domains where firms need to augment their datasets with external data while preserving trust and regulatory compliance. The company closed a pre-seed financing round with Wingman Ventures a few weeks after incorporation.

Total raised
$5M
Funding rounds
4
Latest round
Grant
Latest activity
Jan 2024

Industries

  • Data Integration
  • Software
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Recent funding

  1. Grant

    Jan 2024

    $2M

  2. Seed

    Sep 2023

    $3M

  3. Seed

    May 2022

    $0M

Team