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Roseman Labs
Specializes in Multi-Party Computation technology enabling secure collaboration on encrypted data, allowing organizations to analyze sensitive datasets without exposing raw data.
Founded 2020|11-50 employees|Utrecht|2 open positions|Website
Cybersecurity
Roseman Labs Encrypted Computing Platform
Python-based data collaboration platform with 50+ ready-to-use functionalities including machine learning, where datasets are split into encrypted shares across three independent EU cloud servers so no single party ever sees the full data.
Multi-Party Computation Engine
Privacy engine supporting private set intersection, statistical tests, fuzzy matching, and ML models (logistic regression, K-nearest neighbors, random forest) that computes on encrypted shares distributed across three servers, revealing only approved results.
Developer Integration Layer
SDKs, APIs, and connectors enabling integration with Databricks, Tableau, Power BI, and Microsoft Fabric, deployable on Kubernetes across multi-cloud (OVH, Scaleway, Cyso) or fully on-premise environments.
Trusted byNational Cyber Security Centre (NCSC) NetherlandsGemeente RotterdamUMC UtrechtStichting VbVIQVIAPubliek Vervoer Groningen DrentheIQVIA (strategic partnership since 2022)Intel (performance benchmark collaboration)Motius (RAG + encrypted computing proof of concept)
Utrecht, Netherlands