Transforming the data landscape: Tune Insight raises USD 3.4 Million to pioneer the secure insight economy
28.09.2023
Tune Insight's visionary approach ensures that raw, sensitive data remains firmly under lock and key, never exposed while empowering companies to harness their data and models to their fullest potential. In this new paradigm, organizations retain absolute control of their data's value, predicting a future where data collaboration is not only secure but also highly profitable.
 Tune Insight co-founders: Jean-Pierre Hubaux, Frederic Pont, Romain Bouyé, and Juan Troncoso Pastoriza
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Despite the ever-increasing data dependence for all critical business decisions and the never-ending need for data to feed machine learning, companies are prevented from collaborating on and valorizing sensitive data because of cyber risks, fear of losing competitive edge and regulatory constraints. Helping organizations to overcome this hurdle, Tune Insight is today announcing a USD 3.4 Million funding round as it helps them automate collective intelligence extraction, reduce data liability, and streamline compliance while re-enforcing data security and privacy.
The oversubscribed seed funding round was led by 14Peaks Capital with the participation of US-based Inflection.xyz, Debiopharm and Zurich Cantonal Bank. Existing investors Wingman Ventures also participated in the funding round. Tune Insight was founded in 2021 by Juan R. Troncoso Pastoriza, Frederic Pont, Romain Bouyé and Jean-Pierre Hubaux. The startup is a confidential collaborative analytics and privacy-preserving machine learning solution.
Tune Insight will deploy this funding round to strengthen its position for confidential collaborative analytics and machine learning in healthcare, financial services and cybersecurity, strengthen sales and marketing teams, and accelerate international expansion in Europe and the US.
The origin from Tune Insight goes back 7 years ago, when Swiss hospitals came to researchers at the Swiss Federal Institute of Technology (EPFL) asking if the latest progress in applied cryptography could help solve a challenge they could not overcome, but paramount for personalized healthcare: hospitals wanted to collaborate with each other, but without transferring or revealing their patient data to others. Today, Tune Insight is deployed at University Hospital Zurich, CHUV in Lausanne, and Inselspital in Bern, Switzerland, and powers applications such as survival analysis for precision oncology and personalized reference ranges. The latter application enables practitioners to rely on up-to-date reference ranges for their patients, based on collective data of 9 million data points from over 250,000 patients, instead of outdated ranges from a less relevant population. For University Spital Basel, Tune Insight enables the secure training of dermatology machine learning models on skin images across jurisdictions. Tune Insight solutions also bridge the trust gap between payers like Groupe Mutuel with care providers for value-based healthcare (VBHC), and pharmaceutical companies with hospitals for streamlined access to real-world evidence (RWE).
In other domains, Tune Insight’s solutions are used by actuaries to facilitate collective risk computations for insurance and financial services for collective fraud detection, anti-money laundering (AML) and combating financing of terrorism. In cybersecurity, Tune Insight works with managed security service providers (MSSPs) and Armassuisse, the procurement branch of the Swiss military, enabling collective cyber resilience to better defend against cyber attacks.
The confidential computing operations supported by the Tune Insight platform range from private set intersection to advanced data analytics to secure federated learning on structured data, including images, which play an increasing role in healthcare and predictive maintenance. Tune Insight is also working at extending support for privacy-preserving generative AI. Starting from secure data collaborations and privacy-preserving federated learning, Tune Insight is accompanying its customers towards data and model valorization.
The security startup was selected as a participant of Venture Leaders Technology in 2023, was ranked among the TOP 100 Swiss Startups in 2022 and 2023, and won Venture Kick Stage 2 in 2021.
"Building a company from the ground up is a process that takes time and commitment. The Venture Kick program plays a key role in the early stages of the creation and development of many Swiss startups. The combination of recognition, visibility, advisory and cash offered by Venture Kick supported us in these initial stages, and was especially important for us as a B2B software startup, where initial sales cycles are long and the path to signing first customers is not straightforward," said Juan Ramon Troncoso-Pastoriza, Co-founder and CEO of Tune Insight.
"In 2022, less than one year after incorporation, Tune Insight was ranked 2nd in Security in the TOP 100 Swiss Startup Award, and 45th overall. One year later, we are ranked first in Security and 13th overall! This is a great recognition of our quick progress and increasing momentum. We are proud to be Switzerland’s most promising security startup and this is a recognition that resonates with our prospects and customers. The Venture Leaders Silicon Valley trip, during our seed fundraising, also played a key role in further engaging with US investors, and in better aligning our strategy with key trends there were top-of-mind in California, including generative AI," added Juan Ramon.
Tune Insight co-founders: Jean-Pierre Hubaux, Frederic Pont, Romain Bouyé, and Juan Troncoso Pastoriza
The oversubscribed seed funding round was led by 14Peaks Capital with the participation of US-based Inflection.xyz, Debiopharm and Zurich Cantonal Bank. Existing investors Wingman Ventures also participated in the funding round. Tune Insight was founded in 2021 by Juan R. Troncoso Pastoriza, Frederic Pont, Romain Bouyé and Jean-Pierre Hubaux. The startup is a confidential collaborative analytics and privacy-preserving machine learning solution.
Tune Insight will deploy this funding round to strengthen its position for confidential collaborative analytics and machine learning in healthcare, financial services and cybersecurity, strengthen sales and marketing teams, and accelerate international expansion in Europe and the US.
The origin from Tune Insight goes back 7 years ago, when Swiss hospitals came to researchers at the Swiss Federal Institute of Technology (EPFL) asking if the latest progress in applied cryptography could help solve a challenge they could not overcome, but paramount for personalized healthcare: hospitals wanted to collaborate with each other, but without transferring or revealing their patient data to others. Today, Tune Insight is deployed at University Hospital Zurich, CHUV in Lausanne, and Inselspital in Bern, Switzerland, and powers applications such as survival analysis for precision oncology and personalized reference ranges. The latter application enables practitioners to rely on up-to-date reference ranges for their patients, based on collective data of 9 million data points from over 250,000 patients, instead of outdated ranges from a less relevant population. For University Spital Basel, Tune Insight enables the secure training of dermatology machine learning models on skin images across jurisdictions. Tune Insight solutions also bridge the trust gap between payers like Groupe Mutuel with care providers for value-based healthcare (VBHC), and pharmaceutical companies with hospitals for streamlined access to real-world evidence (RWE).
In other domains, Tune Insight’s solutions are used by actuaries to facilitate collective risk computations for insurance and financial services for collective fraud detection, anti-money laundering (AML) and combating financing of terrorism. In cybersecurity, Tune Insight works with managed security service providers (MSSPs) and Armassuisse, the procurement branch of the Swiss military, enabling collective cyber resilience to better defend against cyber attacks.
The confidential computing operations supported by the Tune Insight platform range from private set intersection to advanced data analytics to secure federated learning on structured data, including images, which play an increasing role in healthcare and predictive maintenance. Tune Insight is also working at extending support for privacy-preserving generative AI. Starting from secure data collaborations and privacy-preserving federated learning, Tune Insight is accompanying its customers towards data and model valorization.
The security startup was selected as a participant of Venture Leaders Technology in 2023, was ranked among the TOP 100 Swiss Startups in 2022 and 2023, and won Venture Kick Stage 2 in 2021.
"Building a company from the ground up is a process that takes time and commitment. The Venture Kick program plays a key role in the early stages of the creation and development of many Swiss startups. The combination of recognition, visibility, advisory and cash offered by Venture Kick supported us in these initial stages, and was especially important for us as a B2B software startup, where initial sales cycles are long and the path to signing first customers is not straightforward," said Juan Ramon Troncoso-Pastoriza, Co-founder and CEO of Tune Insight.
"In 2022, less than one year after incorporation, Tune Insight was ranked 2nd in Security in the TOP 100 Swiss Startup Award, and 45th overall. One year later, we are ranked first in Security and 13th overall! This is a great recognition of our quick progress and increasing momentum. We are proud to be Switzerland’s most promising security startup and this is a recognition that resonates with our prospects and customers. The Venture Leaders Silicon Valley trip, during our seed fundraising, also played a key role in further engaging with US investors, and in better aligning our strategy with key trends there were top-of-mind in California, including generative AI," added Juan Ramon.
Tune Insight co-founders: Jean-Pierre Hubaux, Frederic Pont, Romain Bouyé, and Juan Troncoso Pastoriza