Top 50 Secure Multi Party Computation in Europe

The startup develops multi-party computation technology that enables secure and decentralized joint computation of functions while keeping individual inputs private. This platform enhances digital asset security for businesses in the crypto space by maintaining computational complexity and scalability.

TACEO provides a protocol for encrypted computation using Multiparty Computation (MPC) and coSNARKs, enabling secure processing of sensitive data across decentralized applications. This technology addresses the need for private shared state in blockchain environments, ensuring data confidentiality while maintaining transparency and integrity.

Arcium is a decentralized computing network that utilizes Multiparty Computation (MPC) and Fully Homomorphic Encryption (FHE) to enable applications to process data without ever revealing its contents. This technology allows organizations to leverage sensitive data securely, enhancing privacy and control while maintaining data usability across various digital interactions.

Roseman Labs provides a platform for decentralized data analytics using Multi-Party Computation, allowing organizations to securely link and analyze sensitive datasets without exposing raw data. This technology enables compliance with GDPR while facilitating data-driven insights across healthcare and public sectors, enhancing decision-making and operational efficiency.

Zenrock provides decentralized multi-party computation (MPC) infrastructure for developers to manage private keys and control assets across multiple blockchain networks. This eliminates single points of failure in key management, enabling secure and efficient cross-chain application development.

Copper provides secure cryptocurrency custody through a multi-party computation (MPC) architecture, enabling institutional investors to manage digital assets without exposing them to exchange counterparty risk. Its ClearLoop network facilitates off-exchange settlements, allowing seamless trading on centralized exchanges while maintaining asset security.

MPCH provides Enterprise Key Management infrastructure that combines cryptographic hardware, Multi-Party Computation, and military-grade physical security to protect digital assets for financial institutions and critical infrastructure. This solution ensures secure storage, management, and transaction of sensitive data, addressing the risks of unauthorized access and data breaches.

Dfns provides a wallets-as-a-service platform that utilizes multiparty computation (MPC) and threshold signature schemes (TSS) to ensure secure key management for digital assets. The platform enables financial institutions to create, manage, and embed programmable wallets at scale, facilitating compliant and efficient crypto transactions while maintaining high security standards.

The startup offers a data infrastructure platform that enables secure collaboration among multiple parties while maintaining data ownership and privacy. Its technology features smart access rights management and customized integrations, allowing clients to share and compute data without the risk of privacy leakage.

Tune Insight provides an Encrypted Computing solution that utilizes federated learning and homomorphic encryption to enable secure data collaborations without transferring sensitive information outside an organization. This technology allows businesses to perform collective analytics and machine learning on encrypted data, minimizing data liability and ensuring compliance with privacy regulations.

Provides regulated digital asset custody services for institutional clients, utilizing hardware security modules (HSM), multi-party computation (MPC) wallets, and blockchain-based segregation to ensure maximum security and compliance. Eliminates counterparty risk by enabling trading, borrowing, and lending directly from securely held assets, while supporting over 40 blockchains and 6,000 tokens.

The startup offers a decentralized data platform that enables secure connections between multiple parties, utilizing patented non-movement data technology to facilitate data collaboration without exposing sensitive information. This approach enhances customer experiences while ensuring privacy, allowing companies to leverage their customer data effectively and safely.

Oblivious offers a middleware platform that adds differential privacy to analytical queries, enabling data scientists to obtain insights without exposing raw records. Its confidential computing runtime runs workloads inside hardware secure enclaves, protecting data during processing, and both solutions integrate with major cloud and on‑premise data warehouses via standard APIs while providing compliance controls such as audit logging and ISO 27001/SOC 2 certification.

Zama develops open-source solutions utilizing Fully Homomorphic Encryption (FHE) to enable secure processing of encrypted data for blockchain and AI applications. This technology allows data scientists to run models on sensitive information without exposing the underlying data, ensuring privacy while maintaining functionality.

Oblivious provides a data privacy platform that utilizes differential privacy and secure enclaves to enable organizations to analyze sensitive data without exposing individual information to unauthorized users, including internal data scientists. This technology minimizes data exposure risks while allowing seamless integration with existing systems, facilitating secure collaboration with internal and external partners.

Optalysys utilizes silicon photonics to accelerate Fully Homomorphic Encryption (FHE), enabling secure data processing without exposing sensitive information. This technology addresses the limitations of conventional computing by allowing encrypted data to be analyzed and processed efficiently, enhancing privacy and security for users.

Nillion provides a decentralized computing network that utilizes cryptographic techniques to securely process and store sensitive data, enabling the development of privacy-enhancing applications across various industries. By distributing trust and employing Information-Theoretic Security, Nillion addresses the risks associated with centralized data control, facilitating secure AI training and confidential data management.

Apheris provides a federated learning platform that enables secure and compliant collaboration on distributed data without the need to transfer sensitive information. This technology allows organizations to build machine learning models and gain insights from diverse data sources while maintaining data privacy and regulatory compliance.

The startup develops a privacy-enhancing technology platform that employs federated learning to enable secure data collaboration among organizations. This approach allows clients to share valuable insights without exposing sensitive information, thereby strengthening their defenses against cybercrime.

QED is a zk-native blockchain protocol that enables high-speed, trustless computation with a capacity of over 1,000,000 transactions per second, utilizing a novel state model for massively parallel transaction proving. It allows Web2 developers to create smart contracts in popular programming languages like JavaScript and Python, addressing the scalability challenges that hinder blockchain adoption.

The startup offers a data-sharing platform that utilizes data mining, artificial intelligence, and deep learning to create synthetic data that preserves the statistical properties of original datasets. This enables private and public companies to share data and machine learning models securely, facilitating software testing and analysis without compromising data integrity.

Edgeless Systems develops confidential computing technology that ensures data remains encrypted during processing, protecting workloads from infrastructure-based threats. Their solutions enable organizations to migrate to the cloud while maintaining compliance with regulations like GDPR, CCPA, and HIPAA, without requiring code changes.

Enclaive provides a secure cloud ecosystem that utilizes confidential computing to isolate data and code from the underlying infrastructure, ensuring robust protection against unauthorized access and data breaches. The platform addresses challenges such as vendor lock-in, unpredictable costs, and compliance complexities, enabling organizations to manage sensitive workloads with confidence and clarity.

The startup develops a blockchain platform utilizing zero-knowledge proofs to ensure transaction privacy and security. This technology enables web services and financial clients to maintain ownership of tradable applications while safeguarding property rights and user privacy.

Arqit offers quantum-secure encryption solutions that protect data across on-premise, cloud, and edge environments. Their software-based platform uses Symmetric Key Agreement (SKA) technology to provide robust data integrity and confidentiality against evolving cyber threats, including those posed by quantum computing.

Calimero Network provides a blockchain framework for building peer-to-peer self-sovereign applications that prioritize data ownership and privacy through strong encryption and verified off-chain computing. Users maintain full control over their personal data, deciding who can access it while ensuring secure interactions without reliance on a central authority.

Provides enterprise blockchain-based data security solutions that enable organizations to encrypt, fragment, and distribute data across user-owned multi-cloud environments. This approach protects against cyber threats, ensures business continuity, and maintains data integrity through blockchain-powered proof of record, addressing challenges in data sovereignty and secure collaboration.

Aztec has developed a trading protocol for Ethereum that facilitates private transactions on the public blockchain using zero-knowledge proofs. This technology addresses the need for confidentiality in blockchain transactions, allowing users to trade assets without revealing transaction details to the public.

Vaultree provides a solution for real-time processing of persistently encrypted data, enabling organizations to utilize sensitive information without compromising security. This technology allows businesses to leverage artificial intelligence and machine learning on encrypted datasets, ensuring compliance with regulations like GDPR and HIPAA while minimizing the risk of data breaches.

Oxford Quantum Circuits develops enterprise-ready quantum computing solutions that utilize hybrid computation to tackle complex problems beyond the capabilities of classical machines. Their technology enables businesses to access quantum capabilities securely and reliably, facilitating breakthroughs in various industries.

The startup develops quantum secure networking technology that provides networking equipment for the European quantum internet, focusing on quantum key distribution for multipoint connectivity. Their solutions enhance data security and enable cost-effective scaling of quantum-secured data communications for industrial applications.

Quside develops quantum random number generators (QRNGs) that provide high-speed, entropy-rich randomness for secure connectivity and efficient computation in enterprise applications. Their technology addresses the need for robust cryptographic foundations, ensuring reliable protection against advanced cyber threats and enhancing performance in randomized workloads.

Quantum Optics Jena develops entanglement-based Quantum Key Distribution (QKD) systems that utilize entangled photon pair sources to provide secure communication channels resistant to cyber threats. Their technology addresses the vulnerabilities of traditional encryption methods, ensuring the confidentiality of sensitive information in an increasingly complex digital landscape.

PQShield develops post-quantum cryptographic algorithms and protocols to secure technology infrastructures against the emerging threat of quantum computing. Their solutions enable organizations to modernize their cryptographic systems, ensuring compliance with NIST standards and protecting sensitive data from potential breaches.

Lifebit CloudOS is a federated genomics platform that enables secure access and analysis of distributed clinical and multi-omic data without moving it from its original location. This technology addresses the challenge of fragmented health data, facilitating collaborative research and accelerating insights in precision medicine and drug discovery.

Integritee provides a scalable public blockchain solution that utilizes Trusted Execution Environments (TEEs) to securely process sensitive business and personal data. This technology addresses the need for privacy and security in data-driven applications while maintaining the speed and performance typically associated with centralized systems.

Bitfount is a federated platform that enables secure AI model training and data analysis without centralizing sensitive data, allowing collaboration among data owners and algorithm developers. It addresses the challenge of data privacy in projects such as clinical trials and financial analytics by keeping data localized while facilitating cross-silo insights.

Develops hardware and software solutions, including memory-hardened Trusted Platform Modules (TPMs), secure System-on-Chips (SoCs), and neuromorphic accelerators, to protect IoT devices and infrastructure from 70% of existing cyber threats while ensuring resilience against quantum attacks. Proprietary quantum algorithms and post-quantum cryptography enable secure data processing and machine learning, addressing the growing need for military-grade security in an increasingly vulnerable digital landscape.

Provides a privacy-preserving analytics and AI platform that enables data scientists and analysts to query sensitive data without direct access, using differential privacy, synthetic data generation, and privacy-first query rewriting. This approach ensures compliance with data protection regulations, prevents breaches, and allows organizations to unlock the full value of their data while maintaining security and privacy.

The startup has developed a zero-knowledge-proof system for secure verification of financial transactions, enabling users to perform balances, transfers, and staking with a native token. This platform facilitates the deployment of proof systems that function similarly to smart contracts, ensuring privacy and integrity in financial operations.

NuLink offers a privacy-preserving technology platform that utilizes Proxy Re-Encryption and Attribute-Based Encryption to enable secure data sharing and access control for decentralized applications. This solution ensures that sensitive data remains encrypted at the endpoint, allowing users to maintain ownership and control over their information regardless of its storage location.

Cosmian provides a decentralized Confidential Data Intelligence Platform that utilizes advanced encryption techniques to secure data in use within public cloud environments. This technology ensures that sensitive information remains protected from unauthorized access while allowing organizations to maintain control over their data and applications.

The startup specializes in cryptographic protocols, focusing on polynomial commitment schemes, proof composition, ZKML, and signature schemes to enhance the security of artificial intelligence applications. By providing robust cryptographic solutions, the company enables clients to implement trustworthy AI systems that protect sensitive data and ensure integrity.

Bizzllet offers a self-custody business wallet utilizing Multi-Party Computation (MPC) technology to securely manage and streamline cryptocurrency transactions across multiple wallets. The platform reduces transaction errors to zero, decreases gas fees by 30%, and cuts management time by 70%, enabling teams to efficiently handle their crypto operations without compromising security.

GENXT.AI provides confidential AI solutions that allow enterprises to utilize large language models (LLMs) without exposing sensitive data, ensuring that all business and private information remains encrypted and inaccessible to third parties. Their technology enables secure model deployment, fine-tuning, and inference within isolated cloud environments, mitigating the risks of data leakage and ensuring compliance with data protection regulations.

IOTICS provides a decentralized data access layer that utilizes federated semantic knowledge graphs to enable secure and selective data sharing across multi-party ecosystems. This technology addresses the challenges of data silos and integration complexities, allowing organizations to enhance collaboration, accelerate decision-making, and unlock the value of existing data.

Forkbomb provides a multiplatform cryptographic stack and microservices for digital identity and blockchain interoperability, utilizing post-quantum cryptography and zero-knowledge proofs. The company enables secure data transactions and identity verification across various platforms, addressing the need for robust security in decentralized applications and smart contracts.

Naoris Protocol provides a decentralized security layer utilizing post-quantum cryptography and a decentralized Proof of Security (dPoSec) consensus mechanism to validate device operations in real-time. This technology addresses vulnerabilities in centralized cybersecurity systems by creating a self-protecting trust mesh that eliminates single points of failure across diverse digital environments.

Datavillage offers a confidential analytics platform for financial institutions and regulated enterprises to securely analyze sensitive, siloed data. It enables private risk signal exchange and AI-powered alert investigations to enhance fraud detection and AML compliance without direct data exposure.

Datavillage provides a platform for secure data collaboration that enables businesses to analyze sensitive information without sharing raw data, ensuring compliance with privacy regulations. This technology addresses challenges in training AI models by allowing organizations to leverage confidential data for improved insights and fraud detection.