What Veil.ai does

VEIL.AI is a Helsinki-based privacy-enhancing technology company that provides anonymization, pseudonymization, and synthetic data generation for sensitive health and personal data. Founded in 2019 as a spin-out from the University of Helsinki, the company has built the BONSAI platform—a proprietary AI-enhanced anonymization technology comprising BONSAI structured (for tabular/structured data anonymization and synthesis) and BONSAI text (for free-text document redaction across PDF, TXT, and DOCX formats). BONSAI operates within customer-controlled environments without relying on generative AI or large language models, a design choice positioned as a privacy and compliance differentiator under GDPR, the EU AI Act, and the forthcoming European Health Data Space (EHDS). The technology has been validated in a peer-reviewed BMC Medical Research Methodology study with Bayer and MedEngine showing that anonymized data yields the same research conclusions as pseudonymized individual-level data, and was approved by Findata, Finland's national health data permit authority, for GDPR-free cross-border data transfer.

The company sells to three primary verticals: pharmaceutical and biotech firms (Bayer, Roche, Medtronic) seeking synthetic control arms, legacy RCT reuse, and AI/ML training data; research hospitals and universities (Helsinki University Hospital, Helsinki Biobank, Eastern Finland Biobank, the six-hospital PHEMS consortium) needing cross-border collaboration tools; and government health data authorities (notably Findata) overseeing EHDS-compliant secondary use. Revenue is generated through four streams: VEIL.AI-hosted SaaS subscriptions, customer-hosted licenses deployed in cloud or on-premises environments, marketplace distribution via Snowflake Marketplace (Native App) and Microsoft Azure Marketplace (Managed Application), and professional services from data scientists and privacy engineers. GTM combines enterprise field sales with demos and proof-of-concepts, product-led growth via the Snowflake free trial, event-driven demand generation at conferences such as Slush, BiotechX, OHDSI, and Radical Health Festival, and platform co-marketing with Snowflake and NVIDIA (Inception Program member since January 2025).

VEIL.AI is an independent private company incorporated in Finland with a second office in Copenhagen, Denmark. It has secured approximately 1.3 million euros from the BioInnovation Institute (2022) and participates in EU-funded consortia including the 7 million euro PHEMS pediatric health data project (Horizon Europe, 2023) and the 9.5 million euro WISDOM project for chronic immune-mediated diseases (Horizon Europe, 2024). Recent strategic activity includes the launch of the VEIL.AI Anonymization Engine on the Snowflake Marketplace at Slush 2024, a partnership with Elsevier on ClinicalKey AI for rare disease research (April 2025), and entry into the NVIDIA Inception Program (January 2025), indicating an active transition from research-led delivery to productized, platform-distributed SaaS.

Name

Veil.ai

Legal name

VEIL.AI

Website

https://veil.ai

Company type

Private

Founded year

2019

Operating status

Operating

Headcount range

11–50 employees

Short description

VEIL.AI provides AI-enhanced anonymization, pseudonymization, and synthetic data generation for sensitive health data through its BONSAI platform, serving pharmaceutical companies, research hospitals, biobanks, and government health data authorities across Europe.

Ownership category

akta.pro rank

Product category

Data Privacy & Anonymization Software

akta.pro primary industry

Data Loss Prevention (DLP) & Sensitive Data Discovery (PHI/PII) (HLACAJAC)

akta.pro secondary industries

Privacy-Preserving Data (De-identification, Anonymization, PII Redaction) (HDAAALAG), Confidential AI & Privacy-Preserving ML (federated learning, MPC, HE, TEEs) (HDAAAKAI)

Keywords

• Health data anonymization
• Synthetic data generation
• GDPR-compliant data sharing
• Privacy-enhancing technology
• Free text redaction

Headquarters

HQ city

Helsinki

HQ country

Finland

HQ region

Europe

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

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

Revenue model

1. SaaS Subscription (VEIL.AI Hosted): Cloud platform where VEIL.AI manages deployment and maintenance. Customers access anonymization capabilities on subscription basis with VEIL.AI handling infrastructure.
2. Customer-Hosted License: Anonymization stack deployed to customer architecture (cloud or on-premises). Customer hosts and manages; SLA agreed per customer needs.
3. Marketplace Distribution: Revenue through Snowflake Marketplace (Native App) and Azure Marketplace (Managed Application) distribution channels with platform marketplace revenue share.
4. Professional Services: Expert consulting services where data scientists and privacy engineers collaborate with customers to overcome specific data and privacy challenges.

Pricing tiers

Go-to-market motion4 records

Distribution channels4 records

Marketing channels6 records

Core offering

Veil.ai develops and sells BONSAI, an AI-enhanced next-generation data anonymization and synthetization platform for sensitive health data. Its offerings include BONSAI structured for anonymizing/synthesizing tabular data at individual record level and BONSAI text for redacting personal information from free-text documents, deployed as cloud SaaS, customer-hosted solutions, or as Native Apps on Snowflake and Azure Marketplaces.

Product overview

VEIL.AI offers a portfolio of privacy-enhancing technology products centered on the BONSAI platform. The core offerings include BONSAI structured (for anonymizing and synthesizing structured/tabular data with built-in privacy risk analysis) and BONSAI text (for redacting sensitive information from free-text documents). The VEIL.AI Anonymization Engine is the Snowflake Native App version of the structured data anonymization capability. BONSAI applications operate within the customer's own data environment without relying on external LLMs, ensuring data never leaves the secure infrastructure. The company provides both cloud-hosted SaaS deployments and customer-hosted deployment options.

Differentiator

Problem solved

Functional benefit

Brands

• BONSAI: Privacy-enhancing technology brand for data anonymization and synthetization, including BONSAI structured (for structured data anonymization/synthesis) and BONSAI text (for free text document redaction).
• VEIL.AI Anonymization Engine

Products and services

• BONSAI structured End-to-end solution for anonymizing or synthesizing structured health data at individual record level while maintaining statistical characteristics and high data utility. Supports both static data files and continuous data streams, with built-in privacy risk and quality analysis tools. Designed for pharmaceutical, biobank, and research hospital customers needing GDPR-compliant data sharing and AI/ML training data preparation.
• BONSAI text Solution for accurate redaction of personal and confidential information from free-text documents (PDF, TXT, DOCX). Features Finnish language-specific fine-tuning and customer-specific blacklists/whitelists for domain terminology, supports batch processing, and operates without generative AI or large language models. Targets healthcare, government, and research organizations needing compliant document workflows.
• VEIL.AI Anonymization Engine State-of-the-art AI-powered Snowflake Native Application that transforms structured, cross-sectional, sensitive data into high-quality, individual-level anonymized and synthetic datasets within the customer's own Snowflake environment. Enables safe AI training, secure data sharing, and reuse of legacy data. Available with a free trial via Snowflake Marketplace.

Quantifiable outcome

• Same research conclusions achievable from anonymized data as from pseudonymized individual-level data
• +2 more outcomes

Named customers8 records

Segments4 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration2 records

AI capability4 records

Feature6 records

Partnerships

13 partnerships are on record, tiered major, core and minor.

• Elsevier (ClinicalKey AI)majorStrategic or Co-development Partner · 1 April 2025Collaboration connecting VEIL.AI's anonymization technology with Elsevier's ClinicalKey AI for rare disease research. Enables cross-institutional data combination for clinical research while maintaining GDPR compliance.
• NVIDIAcoreTechnology or Integration · 1 January 2025Accepted into NVIDIA Inception Program for AI startups. Provides access to NVIDIA expertise, advanced computing resources (including LUMI supercomputer), and global ecosystem to accelerate privacy-preserving AI innovation.
• SnowflakecoreTechnology or Integration · 1 November 2024Strategic partnership with Snowflake to offer VEIL.AI Anonymization Engine as Snowflake Native Application. Enables customers to anonymize sensitive data within their own Snowflake environment. Joint presence at Slush 2024 with demo sessions and booth showcasing integration.
• BC Platforms, Modirum Platforms, Productivity LeapmajorStrategic or Co-development Partner · 1 November 2024European tech consortium to develop EHDS-compliant reference architecture for secure cross-border data collaboration in hospitals. VEIL.AI provides anonymization component for the platform.
• Intel / Charité Berlin (Health-X Ecosystem)majorStrategic or Co-development Partner · 1 October 2024Partnership with Intel and Charité - Universitätsmedizin Berlin (Europe's largest university hospital) to advance technological capabilities for European Health Data Space within Health-X ecosystem.
• WISDOM Project ConsortiumcoreStrategic or Co-development Partner · 1 July 2024EU-funded Horizon Europe project (9.5 million euros) with 14 partners. VEIL.AI and Institute for Molecular Medicine Finland (FIMM) at University of Helsinki collaborate on data framework and privacy protection solutions for chronic immune-mediated diseases research.
• PHEMS Consortium (Six European Children's Hospitals)coreStrategic or Co-development Partner · 1 October 2023Partnership with Helsinki University Hospital, Erasmus MC Rotterdam, Meyer Florence, Hospital Sant Joan de Déu Barcelona, Great Ormond Street Hospital London, and Bērnu Klīniskā Slimnīca Latvia. VEIL.AI builds next-generation anonymization capability for secure cross-border pediatric health data collaboration. Project awarded 7 million euros by Horizon Europe and UK funding agencies.
• NOME (Nordic Mentor Network for Entrepreneurship)minorGTM or Marketing Partner · 1 June 2023Elite mentoring program matching life science startups with high-profile executives, investors, and entrepreneurs. VEIL.AI selected for mentorship to increase international collaboration and scale to new markets.
• BioInnovation Institute (BII)majorStrategic or Co-development Partner · 1 August 2022International commercial non-profit foundation incubating life science research. Collaboration announcement for advancing data anonymization in healthcare innovation.
• Microsoft AzurecoreTechnology or IntegrationBONSAI text available as Azure Managed Application in Microsoft Azure Marketplace. Allows deployment within customer's own Azure environment for secure document redaction.
• Findata (Finnish Social and Health Data Permit Authority)coreStrategic or Co-development PartnerCollaboration to establish protocol for verifying anonymity of sensitive health data. Findata approved VEIL.AI's methodology for GDPR-compliant data release. Sets benchmark for European Health Data Space implementation.
• MedEnginemajorStrategic or Co-development PartnerJoint research partnership for Bayer FCT project. Collaborated on study comparing anonymized and pseudonymized real-world data for creating external control arms, published in BMC Medical Research Methodology.
• University of Helsinki / FIMM (Institute for Molecular Medicine Finland)coreStrategic or Co-development PartnerVEIL.AI is spin-out company from University of Helsinki. Ongoing collaboration with FIMM on WISDOM project for data framework development and privacy solutions.

Scale indicators6 records

Recent moves7 records

Expansion highlights6 records

Direct peers

• Tonic.ai: Tonic.ai provides synthetic data and de-identification for structured and unstructured data, targeting healthcare and financial services. Closest direct competitor in the AI/ML data masking space with similar product-led growth via free trials and marketplace listings.
• Gretel: Gretel offers an AI-based synthetic data platform with anonymization APIs for developers. Competes head-to-head with VEIL.AI on AI-enhanced synthetic data generation and is well-capitalized with a strong developer-focused go-to-market.
• Mostly AI: Mostly AI is a synthetic data platform serving regulated industries including financial services and healthcare. Strong overlap on AI-generated tabular synthetic data with utility preservation - a direct comparable on technology and target buyer.
• Hazy: Hazy provides synthetic data for financial services and enterprises. Comparable as a focused synthetic-data vendor with a similar enterprise SaaS motion and emphasis on data utility preservation.
• Synthesized: Synthesized offers a data generation platform for test data, synthetic data, and data anonymization, targeting financial services and healthcare. Direct overlap on anonymization + synthesis, particularly in regulated EU markets.

Broad incumbents

• Datavant: Datavant is the established leader in healthcare data de-identification and linking. Much larger and more broadly positioned across the US healthcare ecosystem; overlaps with VEIL.AI on patient-privacy de-identification but at far greater scale and with a different commercial model.
• Informatica (Privitar): Informatica acquired Privitar, a privacy engineering platform for enterprise data de-identification. Broad incumbent with overlapping tokenization, masking, and policy-based anonymization capabilities across many verticals.
• AWS Clean Rooms / AWS entity resolution: AWS Clean Rooms and related data-cleaning services offer privacy-safe data collaboration for healthcare and life sciences. Hyperscaler incumbent that competes by bundling privacy features with cloud infrastructure.

Emerging players

• TripleBlind: TripleBlind delivers privacy-preserving computation (federated learning, secure enclaves) for healthcare and financial data. Adjacent technology stack targeting similar buyer use cases around training AI on sensitive data without moving it.
• DataCebo (Synthetic Data Vault): DataCebo commercializes the open-source Synthetic Data Vault (SDV) ecosystem. Provides a low-cost open-source alternative for tabular synthetic data generation that can constrain pricing power for focused vendors like VEIL.AI.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/veil-ai
• Xx.com/veil_ai

Revenue estimate

Valuation estimate

Number of profiles

Profiles9 records

Funding overview

Funding rounds2 records

Investors2 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 Veil.ai