We leverage our state-of-the-art Federated Learning Platform to make people’s lives better. The Sherpa.ai solutions will materially impact your Company’s P&L, save lives or improve your business results while preserving your customers’ privacy, complying with ESG standards and all applicable regulations.
Contact usSherpa.ai unlocks the potential of data and AI while preserving privacy in a collaborative environment. Our platform changes the rules for organizations’ collaboration while ensuring compliance with all applicable regulation and ESG standards.
AI can massively impact business results and processes, redefining how decisions are made and transforming industries.
The potential of AI relies on data and the people who generate and own it. Therefore, privacy and security must be at the core of every AI solution.
At Sherpa.ai we have developed a privacy-enhancing Federated Learning platform that will have a massive impact on business results while preserving privacy and ensuring compliance with current and future regulation.
One of the leading Artificial Intelligence companies globally.
Sherpa.ai has emerged with a leading unique approach to Federated Learning which can overcome privacy and regulatory limitations to unlock new scenarios for collaboration between organizations that can lead to solving complex challenges with very impactful results.
Sherpa.ai platform brings additional benefits beyond data privacy, like security, as data is never shared, the attack surface is drastically reduced, as data can no longer be attacked in transit.
Sherpa.ai has developed a two-layer privacy and security system. Data is never shared, and, on top of that, parameters are protected through integrated Privacy Enhancing Technologies (PETs) like Homomorphic Encryption, Secure Multiparty Computation or Differential Privacy.
Federated Learning allows AI model training with data owned by different parties, without sharing data. Only intelligence obtained by the models is shared, which allows to preserve privacy as all data remains on the site. The data never leaves the data owner's server, but it contributes to training and improving the accuracy of the global AI model.
Federated Learning is not enough. Therefore Sherpa.ai has developed a platform that incorporates complementary Privacy-Enhancing Technologies (Differential Privacy, Secure Multi-party Computation or Homomorphic Encryption among others) to ensure robustness of the platform. Sherpa.ai's platform has revolutionary potential for heavily regulated sectors like Healthcare or Financial Services, where privacy as well as regulatory compliance are essential. By adding complementary technologies to ensure privacy is maintained, Sherpa.ai unlocks new scenarios of development and collaboration between organizations.
Differential Privacy is a statistical technique to provide data aggregations, while avoiding the leakage of individual data records. This technique ensures that malicious agents intervening in the communication of local parameters cannot trace this information back to the data sources, adding an additional layer of data privacy.
Our platform applies Differential Privacy on top of everything which provives an empirical state-of-the-art trade-off between accuracy and privacy.
Secure Multiparty Computation (SMPC) is a cryptographic protocol that distributes the computation of data from different sources to ensure that no one can view other’s data, without the need to trust a third party.
Through SMPC it is ensured that your business’s sensitive data is secured, without restricting your ability to extract all the necessary information from data.
Homomorphic encryption allows to run computations on encrypted data without decrypting it. The resulting computations are also left encrypted and, when decrypted, the output is identical to the computation hadn't been ran on encrypted data.
This implies that data processing can be outsourced to a third party without needing to ensure that the third party secures the data correctly. Furthermore, without the decryption key, the original data can't be accessed.
With the use of cutting edge cryptographic techniques, the synchronization and identification of these datasets is possible while always protecting privacy and maintaining the performance of the trained models.
Private Set Intersection (PSI) determines the intersection of samples from all parties. It aligns them by comparing hashed/encrypted identifiers. Our cutting-edge technology, based on the n-grams separation, can overcome typos in the identifiers.
Zero-knowledge proof (ZKPS) is an encryption method that allows to verify specific information to another party without disclosing the information itself.
ZKPS is applied to defend against privacy inference attacks in Private Set Intersection.
Synthetic data generation is a technique to produce artificial datapoints from a real dataset, as a way of protecting data privacy.
Sherpa.ai’s technology applies advanced synthetic data generation to avoid membership information leakage.
This unconventional solution, that allows Sherpa.ai to move away from standard methods, greatly reduces communication costs without degrading the accuracy of the predictive model.
The partnership with Sherpa allows us to offer our customers limitless AI solutions while persevering data privacy in any environment or business process; which unlocks new collaborative models between organizations, that until day, we could not imagine due to regulatory and ethical implications. This partnership will definitely be a key milestone on how KPMG can help customers incorporate AI as an strategic lever to improve business results.
Luis Buzzi
Partner, KPMG Innovate
The alliance with Sherpa.ai is a great opportunity to bring the potential and benefits of federated learning technology to our customers and to continue expanding our portfolio with advanced artificial intelligence use cases that will help companies optimise their businesses.
Gonzalo Martín-Villa
CEO Telefónica IoT & Big Data at Telefónica Tech
B Intelligence Awards
Winner 2022 · Artificial Intelligence Excellence Award
Digital Talent
Winner 2022 · Digital Leader to Xabi Uribe-Etxebarria
CogX Winner 2021
Outstanding Contribution to Tech Regulation
Red Herring Europe
Winner 2022
AI TECH AWARDS 2021
Best in AI-As-A-Service Sherpa.ai Privacy-Preserving Platform
Sherpa.ai has built a solution with ESG principles at its core and looking to help companies to make an ethical use of data, respect and preserve data privacy as well as contribute to reducing carbon footprint.
Read moreSherpa.ai’s Federated Learning approach allows organizations to realise the full potential of data without sharing it.
With Sherpa.ai's plataform, all computations and model training occur in the data owner's environment. This massively reduces the risk of data breaches as well as the compliance burden. Data is never shared, therefore compliance with regulations like GDPR, HIPAA HITECH or CCPA is ensured.
This innovative approach unlocks the potential of data that is currently being underutilised due to existing regulation limiting data sharing but opens up new ways of collaboration between organizations with common problems that don't currently share data for competitive reasons.
Data privacy is a fundamental ethical value at Sherpa.ai.
Our platform complies with all current regulations on Data Protection (GDPR) and is in line with the European Commission regulatory framework proposal on Artificial Intelligence.
Information security is a top priority at Sherpa.ai.
We believe that security must comply with quality standards and with all regulations in this regard. For this reason, we are certified in the ISO-27.001 data security standard and our platform has won the CogX 2021 awards for its Outstanding Contribution to Technology Regulation and has been a finalist as Best Solution for Privacy and Data Protection.
Maximize the value of data and AI with Sherpa.ai’s Privacy-Enhancing solutions
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Sherpa.ai has created a unique platform that enables business, healthcare and other diverse users to realize the potential of Artificial Intelligence while maintaining user privacy. Preserving user privacy is not just an important moral and ethical imperative, it is a business necessity and will increasingly be required by governments around the world. Sherpa.ai provides this essential capability
Doug Solomon
Former Chief Strategy officer at Apple
Sherpa is leading the way how artificial intelligence solutions will be built, preserving user privacy in all its forms
Tom Gruber
Chief AI Strategy Officer at Sherpa.ai
Founder and CTO at SIRI
Sherpa.ai is delivering the full potential of Artificial Intelligence by delivering a platform that ensures privacy, embraces the highest ethics, and exceeds current and expected governmental regulations
Chris Shipley
Technology and strategy analyst, recognized as the most influential woman in Silicon Valley
Our mission is to make people lives better leveraging privacy-preserving AI as a fundamental ethical value.
Xabi Uribe-Etxebarria
Founder & CEO at Sherpa.ai
MIT Technology Review TR35