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Confidential Computing Startups

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Top Confidential Computing startups

There are 19 Confidential Computing startups which include Cysec, Belfort, Vaultree, Cape Privacy, Decentriq. Out of these, 15 startups are funded, with 6 having secured Series A+ funding. United States has the most number of companies in Confidential Computing (4), followed by China and Germany which have (2) companies.
2026 has seen the creation of 1 Confidential Computing startup. Over the past 10 years, an average of 1 new company has been launched annually. Notably, several of these startups have been founded by alumni of Harvard Business School, Harvard University and Imperial College London.

Here is the list of top Confidential Computing Startups

Cloud based platform offering data protection solutions. It helps in maintaining the integrity and confidentiality of the data on the cloud. It protects sensitive data, code, and intellectual property with ARCA trusted OS, a hardware based execution environment. The industries served are fintech, space, IoT, and many more.

Key facts about Cysec

Developer of hardware and algorithmic solutions for encrypted data processing. It provides tools to process sensitive information without decryption, focusing on speed and scalability. The company's technology aims to make encrypted computation practical across various sectors. It offers hardware designed for seamless integration, enhancing speed and scalability. The focus is on maintaining data protection throughout operations, ensuring confidentiality.

Key facts about Belfort

Provider of data-in-use encryption solutions for search, storage, and analytics. The company offers an encrypted data suite that enables advanced search operations. It secures sensitive data during storage and sharing processes. The company also facilitates the deployment and training of analytical models while maintaining security and compliance.

Key facts about Vaultree

Cloud and AI based encrypted data analytics solutions provider. The software allows businesses to run predictive machine learning models on encrypted data. The platform uses secure multiparty computation to operationalize the data securely, avoiding points of failure and enabling computations on data that was previously inaccessible. The features of the software include financial fraud detection, personalization of customer services, market risk calculations, etc.

Key facts about Cape Privacy

Cloud-based enterprise collaboration platform for end-to-end encryption. It provides a SaaS platform that offers on demand data clean rooms based on confidential computing technology. Industries using the solutions are banking, insurance, healthcare, market research, etc.

Key facts about Decentriq

Tracxn powers 1,000+ customers across 30+ countries
Accel PartnersPartechIN-Q-TEL - USFujitsuTenityStanford