Verifoxx

Name

Verifoxx

Legal name

Verifoxx

Website

https://verifoxx.com

Company type

Private

Founded year

2021

Operating status

Operating

Headcount range

1–10 employees

Ownership category

akta.pro rank

Product category

Privacy-Enhancing Technology Software

NAICS

Software Publishers (5132), Computer Systems Design and Related Services (5415)

SIC

Services-Computer Programming Services (7371), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

Decentralized Identity (DID) & Verifiable Credentials (BPAMAEAJ)

akta.pro secondary industries

Decentralized Identity & Verifiable Credentials for Finance (DID/KYC Reuse) (FSAGAMAE), Verifiable Credentials & Attestations (VC issuance/verification, credential registries) (FSAPACAH)

Keywords

• Privacy enhancing technologies
• Secure data collaboration
• Zero knowledge proofs
• Homomorphic encryption
• Secure multi-party computation

Headquarters

HQ city

London

HQ country

United Kingdom

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure

Revenue model

1. Customised Enterprise Licensing / SaaS: Pricing is customised for every client. Costs depend on the volume of data to be transformed, the volume of queries generated, and the number of organisations in an ecosystem. The revenue model is subscription or usage-based depending on client configuration.
2. Government & Public Sector Contracts: Verifoxx engages with government accelerators (CivTech) and public sector innovation programmes, with contracts ranging from £350,000 to £1.3 million at the conclusion of accelerator programmes.

Pricing tiers

Go-to-market motion2 records

Distribution channels1 record

Marketing channels4 records

Core offering

Verifoxx provides a privacy-enhancing technology (PET) platform that enables organizations to collaborate on sensitive data without exposing it. The platform integrates four distinct PETs—Zero-Knowledge Proofs, Multi-Party Computation, Trusted Execution Environments, and Partial Homomorphic Encryption—to transform data into a secure cryptographic format, allowing partners to query and receive verified answers without raw data ever leaving its owner. It is delivered as customized enterprise software to government, healthcare, financial services, and AI organizations.

Product overview

Verifoxx is a privacy-enhancing technology platform that enables organisations to collaborate on data without exposing it. The platform operates as a unified system combining multiple PETs (Zero Knowledge Proofs, Multi-Party Computation, Trusted Execution Environments, and Partial Homomorphic Encryption) to transform data into secure, cryptographic format. The core Verifoxx Platform serves as the main product, supported by modules including the Secure Enrichment Pipeline, Zero Knowledge Orchestrator (ZKO), and Dynamic Policy Engine. The company also develops research projects including cWAMR (Capability-Aware WebAssembly Runtime) for secure WebAssembly execution, and SentinelOps for runtime behavioural assurance of AI workloads. Additional capabilities include a Data Query Engine for ESG verification. Together, these components enable organisations to ask questions and receive verified answers without raw data ever leaving its owner.

Differentiator

Problem solved

Functional benefit

Products and services

• Verifoxx Platform A privacy-enhancing technology platform that enables organisations to collaborate on data without exposing it. Uses four PETs (Zero-Knowledge Proofs, Multi-Party Computation, Trusted Execution Environments, and Partial Homomorphic Encryption) to transform data into a cryptographic format, allowing partners to query and receive verified answers without raw data access. Designed for government, healthcare, financial services, and AI organisations.
• cWAMR (Capability-Aware WebAssembly Runtime) A research-driven WebAssembly runtime and framework that brings CHERI-based compartmentalisation and capability-enforced execution into WebAssembly. Provides double-sandboxed execution combining WASM's built-in sandboxing with hardware-isolated CHERI compartments for enhanced security in cloud, edge, and embedded environments. Open source on GitHub.
• SentinelOps Runtime behavioural assurance capability for AI workloads operating in constrained and security-sensitive environments. Enables organisations to verify whether systems are behaving as expected at execution time without relying on logs, telemetry, or centralised infrastructure. Provides runtime observation, behavioural modelling, deviation detection, and policy-constrained outputs.

Quantifiable outcome

• Fraud costs the UK £7 billion annually. Verifoxx's technology enables financial institutions and telecoms to securely collaborate to combat fraud without exposing sensitive data.
• +2 more outcomes

Named customers4 records

Segments5 records

Ideal customer profiles5 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

AI capability6 records

Feature8 records

Partnerships

Six partnerships are on record, tiered core and supporting.

• UK Government (Sovereign AI Programme)coreStrategic or Co-development Partner · 1 April 2025Verifoxx completed its SentinelOps Proof of Concept under the UK Government's Sovereign AI – Proof of Concept programme. Selected as one of 25 projects from over 1,100 applicants, SentinelOps focuses on runtime behavioural assurance for AI workloads in constrained environments. Verifoxx is now engaging with industry partners to validate SentinelOps in real-world environments.
• Scottish GovernmentcoreStrategic or Co-development Partner · 1 February 2025Verifoxx won a place on the CivTech 10 Accelerator (Challenge 10.4, sponsored by the Scottish Government's Chief Data Officer). The company is collaborating with the Scottish Justice Team and central Data Division to develop a modular framework for privacy-preserving data orchestration addressing data sharing needs within the justice sector. At the conclusion of the accelerator, contracts range from £350,000 to £1.3 million.
• FinTech ScotlandcoreStrategic or Co-development Partner · 1 October 2024Verifoxx was selected as a winner in FinTech Scotland's 'Shaping the Future of ESG in Financial Services' innovation call, part of the Financial Regulation Innovation Lab (FRIL) in collaboration with the University of Strathclyde and University of Glasgow. Recognised for its data query engine enabling visibility on verified financed emissions without compromising data privacy.
• Financial Conduct Authority (FCA)coreStrategic or Co-development Partner · 1 May 2024Verifoxx was selected to participate in the FCA Digital Sandbox, an initiative providing pioneering firms with access to synthetic financial data and regulatory insights to develop and test innovative solutions. The partnership focuses on demonstrating how PETs can improve financial crime detection, regulatory compliance, and secure data sharing across the financial sector.
• ARM (Morello/CHERI Programme)coreTechnology or Integration · 1 January 2022Verifoxx received DSbD programme funding to integrate CHERI architecture into its existing PET framework by working with ARM's Morello programme. This integration enhances capabilities in secure data compartmentalisation and access control. Verifoxx has been contributing to the development and adoption of CHERI architecture as part of this collaboration.
• University of CambridgesupportingTechnology or IntegrationVerifoxx's cWAMR project is built on CHERI (Capability Hardware Enhanced RISC Instructions), developed by the University of Cambridge. CHERI extends traditional instruction sets by introducing capabilities — secure and unforgeable pointers to memory and system resources. Arm collaborated with the University of Cambridge to develop the Morello board as an evaluation platform.

Scale indicators7 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Inpher: Secret computing/PET platform combining secure multiparty computation, homomorphic encryption, and differential privacy for privacy-preserving data collaboration. Direct competitor to Verifoxx across financial services, healthcare, and government use cases.
• Duality Technologies: Homomorphic encryption and secure MPC platform enabling organisations to collaborate on encrypted data for AI and analytics. Direct competitor in privacy-preserving data collaboration with overlapping PET-based value proposition.
• Enveil: Pioneer in homomorphic encryption-based secure search and analytics, enabling users to securely search, analyse and cross-match data without exposing the underlying information. Directly overlapping with Verifoxx's secure query/privacy-preserving verification use cases.
• TripleBlind: Privacy-preserving AI and federated learning platform that lets organisations train and analyse models on sensitive data without moving or exposing it. Comparable to Verifoxx's AI vertical and federated data collaboration capabilities.

Emerging players

• Zama: Developer of fully homomorphic encryption (FHE) tooling aimed at making PETs more accessible to application developers. Comparable to Verifoxx's homomorphic encryption capability and broader mission of mainstreaming PETs.
• Opaque Systems: Confidential computing and AI platform using TEEs and hardware isolation to enable secure data collaboration and analytics. Comparable to Verifoxx's TEE-based architecture and enterprise AI data privacy focus.

Broad incumbents

• BigID: Established data intelligence and privacy management platform serving large enterprises across data discovery, classification, and privacy compliance. Operates in the broader data privacy and security category with partial overlap on compliance-focused use cases Verifoxx addresses.
• OneTrust: Large incumbent in privacy, security and governance software that addresses compliance, consent management, and data sharing workflows. Broad portfolio with overlapping compliance/governance aspects of Verifoxx's Dynamic Policy Engine.
• Privitar (Informatica): Privacy-preserving data provisioning platform acquired by Informatica, offering de-identification, tokenisation, and PET-based data sharing for enterprises. Direct heritage in PET-based data collaboration now operating within a larger data management suite.

Regional players

• Securys: UK-based data privacy and security consultancy offering PET advisory and implementation services. Comparable as a UK-domiciled provider operating in the same regulatory environment, though more advisory-led than product-led.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

• GitHubgithub.com/Verifoxx-LTD/verifoxx-cheri-wamr
• LinkedInlinkedin.com/company/verifoxx

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Funding overview

Funding rounds3 records

Investors4 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Verifoxx