What Roseman Labs does

Roseman Labs B.V. is a Dutch privacy-technology company, founded in 2020 and headquartered in Utrecht, that sells a multi-party computation (MPC) platform branded as the 'Trusted Collective Intelligence' platform. The technology distributes encrypted data across three independent trusted servers using secret sharing, so that multiple organisations can run analytics and machine learning on combined datasets without any party exposing its raw records. A proprietary Python DataFrame library called Crandas exposes 50+ analytics functions (joins, aggregations, fuzzy matching, linear and logistic regression, random forests, k-NN) with a pandas-like syntax, and an optional web Platform with Keycloak-based authentication adds no-code analysis, data requests, and an add-on Surveys module. All computation is routed through a script approval workflow in which analysts record scripts on dummy data, designated approvers sign off, and only approved scripts execute on sensitive production data. The platform is positioned as fully compliant with GDPR, NIS2 and AMLR and holds ISO 27001 and NEN 7510 certifications.

The company sells via a 'Book a demo' enterprise sales motion with quote-based contracts, supported by named directors (Toon Segers, Freya de Mink, Ian Wachters, Thomas Berris) and a self-serve developer path through public Crandas documentation. Customers span national security and public sector (NCSC NL, Gemeente Rotterdam, Publiek Vervoer, Central Bank of Ireland Innovation Sandbox), anti-financial crime (Stichting VbV, Irish pillar banks), healthcare (UMC Utrecht, NVvP, DICA, IQVIA) and adjacent industries (Stedin, Royal Flora Holland, Spotixx). As of the most recent disclosure, 150 organisations use the platform and it reports throughput of 100,000 records per second.

Roseman Labs is privately held and venture-backed, having raised approximately €9M cumulatively: a €4M round in July 2023 from Matterwave Ventures, Spacewalk VC and NP-Hard Ventures, followed by a €5M Series A in September 2025 led by G+D Ventures with Swiss Post, Mozilla Ventures and NGS Capital, explicitly earmarked for European and US expansion and continued platform development. The company is founder-led (CEO Roderick Rodenburg, CPO Toon Segers, CTO Niek Bouman), operates an 11–50 person team, and monetises through subscription SaaS, enterprise self-host licenses requiring a Roseman Labs license key, add-on modules, and professional services for deployment and integration.

Name

Roseman Labs

Legal name

Roseman Labs B.V.

Website

https://rosemanlabs.com

Company type

Private

Founded year

2020

Operating status

Operating

Headcount range

11–50 employees

Short description

Roseman Labs is a Dutch privacy-technology company that sells a multi-party computation (MPC) platform enabling organisations to run analytics and machine learning on combined sensitive datasets without exposing raw records, primarily serving European public-sector, healthcare and anti-financial-crime buyers.

Ownership category

akta.pro rank

Product category

Privacy-Preserving Data Analytics

NAICS

Custom Computer Programming Services (541511), Computer Systems Design and Related Services (54151)

SIC

Services-Prepackaged Software (7372), Services-Computer Programming Services (7371)

akta.pro primary industry

Data Sharing & Data Marketplace Governance (HDAEADAK)

akta.pro secondary industries

Confidential AI & Privacy-Preserving ML (federated learning, MPC, HE, TEEs) (HDAAAKAI), Data Governance Platforms (Policies, Stewardship, Workflows) (HDAEADAB)

Keywords

• Multi-party computation
• Encrypted data analytics
• Privacy-preserving computation
• Secure data collaboration
• Homomorphic encryption software

Headquarters

HQ city

Utrecht

HQ country

Netherlands

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

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

Revenue model

1. SaaS subscription to the Trusted Collective Intelligence platform: Customers consume the Roseman Labs MPC platform as a hosted/subscription service ("SaaS service" referenced in the privacy policy). The platform offers 50+ analytics functions, deployment on any cloud or on-premise, and integration via APIs or no-code workflows. Revenue is recurring.
2. Self-host / on-premise enterprise licenses: Customers can self-host the three-engine MPC stack on their own Kubernetes clusters using the Roseman Labs Helm chart. Requires a Roseman Labs license key, suggesting an enterprise licensing or managed-deployment revenue component alongside SaaS.
3. Add-on modules (e.g., surveys): The survey capability is explicitly described as "available as add-on" in the help center, indicating modular upsell on top of the core platform.
4. Implementation / onboarding professional services: Documentation and support (e.g., self-host instructions, "demo-environment" onboarding, [email protected]) imply professional services for deployment, integration with customer cloud/on-prem environments, and tuning of compute resources.

Pricing tiers

Go-to-market motion3 records

Distribution channels4 records

Marketing channels8 records

Core offering

Roseman Labs sells a Multi-Party Computation (MPC) based encrypted computing platform, branded as the Trusted Collective Intelligence Platform, that enables organizations to jointly analyze sensitive data without sharing raw records. The platform exposes its MPC engine through the open-source Crandas Python DataFrame library (pandas-like syntax) and a web-based console for data uploads, surveys, data requests, no-code analysis, and script approval workflows. It serves 150+ organizations across government, healthcare, financial services, and other regulated verticals with GDPR, NIS2, and AMLR compliance.

Product overview

Roseman Labs offers a single unified encrypted computing platform branded as the "Trusted Collective Intelligence" platform, which combines three primary product layers: (1) the MPC Engine (the self-hostable multi-party computation engine distributed across three nodes that performs computation on secret-shared data), (2) the Crandas Python SDK (the DataFrame library that lets developers and data scientists interact with the engine using a familiar pandas-like syntax), and (3) the web Platform with Keycloak-based authentication that orchestrates data import, surveys, data requests, no-code analysis, and script-based analysis with an approval workflow. Add-on modules such as Surveys extend the platform. The platform serves National Security, Anti-Financial Crime, Healthcare, and other industries by enabling encryption-in-use analytics on private data from multiple participants, in full GDPR, NIS2, and AMLR compliance.

Differentiator

Problem solved

Functional benefit

Brands

• Crandas: Crandas is the Python DataFrame library developed by Roseman Labs to interact with the Roseman Labs cryptographic (multi-party computation) engine for secure data collaboration.

Products and services

• Trusted Collective Intelligence Platform Core encrypted computing platform that performs analytics on private data from multiple participants without exposing raw records. Provides 50+ functions, open standards, SSO/2FA, script approval workflow, and deploys on any cloud or on-premise for government, healthcare, and financial services customers.
• Crandas Python SDK Python DataFrame library that interfaces with the Roseman Labs MPC engine using pandas-like syntax. Supports data filtering, joins, secure aggregations, fuzzy matching, and privacy-preserving machine learning (regression, random forests, k-NN) on encrypted data; intended for data scientists and analysts.
• MPC Engine (Self-Hostable) Multi-Party Computation engine that performs computation on secret-shared data, deployable as three distributed nodes on customer infrastructure. Communicates via TLS-encrypted TCP, supports vertical scaling, and runs on standard x86-64 CPUs with 2-8 cores, 4-64Gi memory, and 20-512GB storage.
• Encrypted Surveys (Add-on) Platform add-on module that lets analysts design, send, and analyze encrypted surveys with 8 question types and results stored in the MPC engine. Available as an add-on to the core Trusted Collective Intelligence platform subscription.

Named customers12 records

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

AI capability8 records

Feature8 records

Partnerships

Six partnerships are on record, tiered high-profile public-sector partner, industry forum / co-marketing, mid - award/recognition ecosystem partner, operational vendor (marketing automation), operational vendor (marketing/pixel) and architecture component.

• Central Bank of Irelandhigh-profile public-sector partnerStrategic or Co-development PartnerSelected Roseman Labs as one of only seven companies for the Central Bank of Ireland's Innovation Sandbox Programme. Working alongside two Irish pillar banks to demonstrate how encrypted computing can enable institutions to collaborate on anti-fraud and anti-money laundering efforts.
• Europolindustry forum / co-marketingStrategic or Co-development PartnerRoseman Labs is an active participant at the Europol Industry & Research Days (2026 edition), where European law enforcement agencies discuss priorities and emerging threats. The relationship is positioned as co-development and industry engagement rather than a direct customer contract.
• Privacy First Foundation (Stichting Privacy First)mid - award/recognition ecosystem partnerGTM or Marketing PartnerPrivacy First Foundation awards UMC Utrecht the 2026 Dutch Privacy Award for its use of Roseman Labs technology, with the award prominently featured on the Roseman Labs homepage. Privacy First is a Dutch civil-society organization that campaigns for privacy protection.
• HubSpotoperational vendor (marketing automation)Technology or IntegrationHubSpot powers Roseman Labs' website chat, marketing automation, analytics, and CRM. Cookies are placed for chat and marketing purposes with consent via the cookie banner; HubSpot Privacy Policy referenced.
• LinkedInoperational vendor (marketing/pixel)Technology or IntegrationLinkedIn Insight Tag is used on the Roseman Labs website for campaign analytics, with data shared with LinkedIn under a Joint Controller Addendum (retention up to ~180 days).
• Keycloakarchitecture componentTechnology or IntegrationKeycloak is the authentication and authorization component for the Roseman Labs web Platform (Node.js + NGINX + PostgreSQL), available to parties that deploy the optional Platform alongside the MPC engine.

Scale indicators10 records

Recent moves6 records

Expansion highlights6 records

Emerging players

• Opaque Systems: Opaque Systems provides a confidential computing platform combining TEEs and cryptographic techniques for scalable privacy-preserving analytics and AI. It targets the same regulated enterprise workloads as Roseman Labs but uses a TEE-led architecture rather than pure MPC.
• Habu: Habu is a data clean room platform for privacy-safe cross-organization data collaboration, with strong traction in advertising, retail and consumer data. It competes with Roseman Labs for the same 'collaborate without exposing raw data' buyer narrative, but via clean rooms rather than MPC.
• Zama: Zama develops fully homomorphic encryption (FHE) tooling, including an open-source Concrete library and fhEVM, targeting AI/ML and blockchain workloads. It is an emerging privacy-enhancing technology competitor that could subsume some MPC use cases Roseman Labs targets today.

Direct peers

• Duality Technologies: Duality Technologies offers a homomorphic-encryption-based secure data collaboration platform aimed at regulated industries (finance, healthcare, government). It directly competes with Roseman Labs for the same privacy-preserving analytics use cases across multi-party data collaboration.
• TripleBlind: TripleBlind offers a privacy-preserving computation platform for AI/ML model training and inference across organizations using a combination of cryptographic and statistical techniques. It overlaps with Roseman Labs' crandas/ML toolkit for cross-organizational analytics in healthcare and financial services.
• Inpher: Inpher (now Throughput / X-PHI) builds secret-computing and MPC platforms for privacy-preserving analytics and ML across enterprises. It is one of the closest technical analogues to Roseman Labs' MPC engine and competes for the same regulated multi-party data collaboration use cases.
• Enveil: Enveil provides FHE-based secure search and analytics that lets organizations extract insights from encrypted data without exposing plaintext. It competes with Roseman Labs in financial services and government for privacy-preserving multi-party data collaboration workloads.

Broad incumbents

• Datavant: Datavant is a healthcare-focused data collaboration company that connects de-identified patient data across providers, payers and life-sciences organizations. It overlaps directly with Roseman Labs' healthcare customer base (UMC Utrecht, NVvP, DICA) and competes for healthcare data collaboration budgets.
• Fortanix: Fortanix is an established confidential computing and key management platform provider with broad enterprise adoption across financial services, healthcare and government. It competes for the same regulated buyer wallet that Roseman Labs targets, but as a broader security/data-security portfolio rather than a pure MPC specialist.

Regional players

• Statice (Sarus): Statice (now Sarus) is a European privacy-preserving data analytics vendor offering synthetic data and differential privacy tooling for regulated industries. It is a comparable European privacy-tech peer addressing similar regulated-buyer pain points, though primarily via synthetic data rather than MPC.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/rosemanlabs
• Xx.com/rosemanlabs

Compliance4 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles6 records

Funding overview

Funding rounds5 records

Investors10 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 Roseman Labs