What Swiss Data Science Center does

The Swiss Data Science Center (SDSC) is a national research infrastructure within the ETH Domain, established in 2017 by the ETH Board as a joint venture between EPFL, ETH Zurich, and the Paul Scherrer Institute (PSI). It operates three locations (Lausanne, Zurich, Villigen) with a team of 125+ senior data scientists and machine learning specialists, supporting researchers, companies, hospitals, cantonal and federal administrations, NGOs, and SMEs across the full data lifecycle — from data collection and management to machine learning, AI, and industrialization. SDSC serves health and biomedical, energy and sustainability, climate and environment, digital society, and large-scale scientific infrastructure domains, and has produced 383 scientific publications.

SDSC's technology stack is anchored by open-source proprietary platforms including Renku 2.0 (collaborative data/code/compute platform), Swiss Data Custodian (privacy-compliant data access governance), Imaging Plaza (imaging research collaboration), Gimie (Git metadata extraction), Pyaxis with ICANE, and SHACL validation tooling. It also operates the LUCID national medical data stream — a tiered architecture covering nearly 300,000 hospital stays across all five Swiss university hospitals — and provides access to CSCS Alps supercomputing infrastructure. AI/ML modalities span text (NLP, LLMs, de-identification), structured data, computer vision (satellite, medical, biodiversity), and multimodal applications, with explicit capabilities in NLP/LLMs, computer vision, predictive analytics, generative AI (e.g., OneDoc's Ask Doki, Qlaire), anomaly detection, knowledge retrieval/knowledge graphs, process automation, and optimization (e.g., district heating, hydropower).

SDSC's business model is a hybrid of public funding and service revenue. Core operations are funded as a National Research Infrastructure by the ETH Domain, supplemented by cantonal grants (Canton of Vaud CHF 7.5M, 2024-2028; Canton of Zurich SME program). Revenue-generating activities include Direct Mandates (bespoke enterprise collaborations with marquee clients such as Merck, Firmenich, Bühler, EKZ, Syngenta, ICRC, and SFOE), annual National Calls for collaborative projects, paid memberships with premium coaching and campus immersion, and paid executive education (AI for Decision Makers, DAS Data Science at ETH Zurich, CAS Data Science & Management joint with HEC Lausanne). SMEs and NGOs participate in subsidized or free programs funded by cantonal and federal sources. The organization has no disclosed commercial revenue figures and operates without venture capital backing.

Name

Swiss Data Science Center

Legal name

Swiss Data Science Center

Website

https://datascience.ch

Company type

Private

Founded year

2017

Operating status

Operating

Headcount range

101–250 employees

Short description

Swiss Data Science Center is a national ETH Domain research infrastructure, founded in 2017 by EPFL, ETH Zurich, and PSI, providing data science and AI expertise, open-source platforms, and training to academia, industry, government, NGOs, and SMEs across Switzerland.

Ownership category

akta.pro rank

Product category

Data Science and AI Research Services

NAICS

Other Scientific and Technical Consulting Services (54169), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Processing & Data Preparation (7374)

akta.pro primary industry

Data, Analytics & AI Consulting (BPAHAEAF)

akta.pro secondary industries

Advanced Analytics & Data Science Services (BPAEAHAE), Data Science & Analytics (Data Literacy, SQL, Visualization) (EDAMACAF), Data Platform (Unified Data & Analytics) Suites (HDAEABAD)

Keywords

• Data science services
• Machine learning research
• AI consulting
• Open-source platforms
• Executive education

Headquarters

HQ city

Zürich

HQ country

Switzerland

HQ region

Europe

Offices3 records

Markets served

GTM type

B2B

Offering type

Services

Cost components

Personnel, Technology or R&D

Revenue model

1. Government Funding (ETH Domain): Core funding as a national research infrastructure within the ETH domain, established by the ETH Board in 2017. Funding supports operations and mission to enable data-driven science and innovation for societal impact.
2. Cantonal Government Funding: Canton of Vaud providing CHF 7.5 million in funding for 2024-2028 through its Innovation Support Fund for joint innovation programs supporting Vaud-based SMEs and public bodies in data-driven projects.
3. Project-Based Research Agreements: Research agreements where organizations (companies, hospitals, public institutions) engage SDSC data scientists for hands-on data science work on collaborative projects, typically with in-kind contribution from SDSC and financial/fte contribution from partner organizations.
4. Memberships and Community Building: Bespoke coaching, supervision, training, and joint thematic workshops with premium support for hiring AI team members. Organizations pay for premium membership benefits including campus immersion and talent support.
5. Cantonal SME Programs: Cantonal programs (Zurich, Vaud) funded by Swiss Cantons provide free support to SMEs for AI adoption. SDSC participates as the technical expert partner, with program costs covered by cantonal funding.
6. Executive Education: AI for Decision Makers executive course (5-day program at ETH Zurich/EPFL), DAS in Data Science, CAS in Data Science & Management, and short executive programs generating revenue from participant fees.

Pricing tiers

Go-to-market motion6 records

Distribution channels7 records

Marketing channels11 records

Core offering

The Swiss Data Science Center provides end-to-end data science and AI services, supporting the full lifecycle from data collection and management through machine learning, AI development, and industrialization. Its offerings include collaborative research projects, proofs of concept, direct mandates, open-source platforms (Renku 2.0, Swiss Data Custodian, Imaging Plaza), specialized tools, executive education programs, cantonal SME AI adoption programs, NGO/IO programs, and community events.

Product overview

The Swiss Data Science Center (SDSC) is a national research infrastructure offering a comprehensive portfolio of data science and AI products, platforms, and educational programs. The core product suite includes Renku 2.0 (open-source collaborative research platform), Swiss Data Custodian (privacy compliance solution), Imaging Plaza (imaging research platform), and various tools including Gimie, Pyaxis with ICANE, and SHACL validation. SDSC provides educational offerings through executive courses (AI for Decision Makers), formal programs (DAS Data Science, CAS Data Science & Management), and hackathons (Energy Data Hackdays). Collaboration programs include National Calls for Projects and Direct Mandates for organizational partnerships. Together, these offerings support the full data science lifecycle from research collaboration to implementation.

Differentiator

Problem solved

Functional benefit

Products and services

• Renku 2.0

Quantifiable outcome

• LUCID project analyzes nearly 300,000 hospital stays from five Swiss university hospitals
• +4 more outcomes

Named customers13 records

Segments9 records

Ideal customer profiles5 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability12 records

Feature8 records

Partnerships

18 partnerships are on record, tiered strategic, minor and core.

• RecartastrategicStrategic or Co-development Partner · 20 May 2026Collaborative R&D project on LLM workload migration from commercial APIs to sovereign infrastructure. Partnership with HEIG-VD/IICT, SDSC, and Exoscale.
• ExoscalestrategicTechnology or Integration · 20 May 2026Collaborative R&D project on LLM workload migration. Exoscale provides sovereign cloud infrastructure for moving LLM workloads from commercial APIs.
• HEIG-VD/IICTstrategicStrategic or Co-development Partner · 20 May 2026Collaborative R&D project partner for LLM workload migration. HEIG-VD (University of Applied Sciences Western Switzerland) provides research expertise.
• CSCS (Swiss National Supercomputing Centre)strategicStrategic or Co-development Partner · 18 May 2026Supercomputer Alps operated by CSCS and ranked 8th globally provides computational access for training neural decoding models using proprietary soft electrode technology for Neurosoft Bioelectronics.
• Bewe Lab SAminorStrategic or Co-development Partner · 18 May 2026Vaud-based startup selected in second call for projects under SDSC-canton of Vaud partnership. One of two startups receiving AI technical support and funding.
• Perivision SAminorStrategic or Co-development Partner · 18 May 2026Vaud-based startup selected in second call for projects under SDSC-canton of Vaud partnership. One of two startups receiving AI technical support and funding.
• Neurosoft BioelectronicsstrategicStrategic or Co-development Partner · 18 May 2026Awarded computational access to Alps supercomputer (ranked 8th globally) to train neural decoding models using proprietary soft electrode technology.
• Energy Data Innovation Hub (EDIH)coreStrategic or Co-development Partner · 7 May 2026Partnership to expand Energy Data Hackdays to French-speaking Switzerland. EDIH is central platform driving digital transformation of Swiss energy sector. SDSC hosts hackathon at Biopôle headquarters. Collaboration aims to strengthen nationwide energy data solutions.
• Medicines for Malaria Venture (MMV)strategicStrategic or Co-development Partner · 9 December 2025Collaboration with Swiss Data Science Center supported by Gates Foundation to advance next-generation antimalarial medicines. Part of MMV's planned AI partnerships including MAIP platform on ChEMBL and dd4gh platform with deepmirror.
• EPFL AI CentercoreStrategic or Co-development Partner · 8 October 2025Geneva AI Initiative is a program by EPFL AI Center in collaboration with SDSC designed to help Geneva-based NGOs and IOs integrate AI. Connects humanitarian, development, and policy organizations with AI experts from EPFL and partners.
• BioMedIT PlatformcoreTechnology or Integration · 1 January 2025Medical registry infrastructure hosted on BioMedIT platform developed with SPHN. Provides secure, federated data infrastructure for health research with two-tier architecture separating registry operations from research.
• Canton of VaudcoreStrategic or Co-development Partner · 1 January 2024CHF 7.5 million funding for 2024-2028 through Innovation Support Fund supporting joint innovation program enabling Vaud-based SMEs and public bodies to collaborate with SDSC on data-driven projects. Includes annual calls for projects with selected proposals receiving up to CHF 125,000 and tailored AI support.
• Swiss Personalized Health Network (SPHN)coreStrategic or Co-development Partner · 1 September 2022LUCID National Data Stream funded by SPHN and PHRT from 2022-2025. Collaboration on hospital data infrastructure using BioMedIT platform and SPHN Data Coordination Center protocols, data models, and RDF encoding schema.
• Personalized Health and Related Technologies (PHRT)coreStrategic or Co-development Partner · 1 September 2022Co-funder of LUCID National Data Stream project alongside SPHN. Supports national research infrastructure for personalized health data in Switzerland.
• LonzaminorOthers · 1 January 2018Executive Director Olivier Verscheure has been a member of the Board of Directors of Lonza since 2018. Lonza is a global leader in life sciences sector providing products and services to pharmaceutical, biotechnology, and specialized healthcare industries.
• EPFL (École Polytechnique Fédérale de Lausanne)coreStrategic or Co-development Partner · 1 January 2017Founding partner of SDSC. SDSC maintains headquarters at EPFL INN Building. Collaboration on academic research, university teaching, and executive education programs including joint EPFL-HEC Lausanne executive training for senior executives.
• ETH ZurichcoreStrategic or Co-development Partner · 1 January 2017Founding partner of SDSC. SDSC has office at ETH Zurich (Andreasturm). Collaboration on academic research, university teaching, and executive education including DAS in Data Science.
• PSI (Paul Scherrer Institute)coreStrategic or Co-development Partner · 1 January 2017Third founding institution alongside EPFL and ETH Zurich. SDSC has dedicated team located at PSI in Villigen for Large-scale Infrastructures domain work.

Scale indicators10 records

Recent moves8 records

Expansion highlights7 records

Broad incumbents

• Fraunhofer Society: Germany's largest applied research organization with 75+ institutes including dedicated AI/ML units. Overlaps with SDSC as a public-mandate applied research body, but operates at a substantially larger scale across many domains beyond data science.
• McKinsey QuantumBlack: McKinsey's AI and data science consulting arm delivering enterprise AI transformation at global scale. Comparable service offering (data science consulting, model deployment) but commercial/private model with significantly larger global footprint.

Direct peers

• Vector Institute: Toronto-based AI research institute operating as a public/private partnership to advance AI research and industry uptake. SDSC's Canton-funded model with industry case studies maps directly to Vector's industry sponsorship and applied research mandate.
• The Alan Turing Institute: UK's national institute for data science and AI, founded in 2015 as a public-funded research organization across multiple universities. Closely parallels SDSC's model of national research infrastructure advancing data science across sectors with multi-institutional academic partnerships.
• Mila - Quebec Artificial Intelligence Institute: Canadian AI research institute founded in 1993, with academic-industry-government partnerships and large teams of AI researchers working across health, environment, and applied domains. Highly comparable public-mandate research structure with translational industry engagement.
• INRIA (French National Institute for Research in Digital Science and Technology): France's national public research body dedicated to digital science, with similar multidisciplinary teams, open-source platforms, and industry collaboration through research agreements. Comparable in scope, mandate, and host-institution structure.
• Imperial College Data Science Institute: University-based data science institute at Imperial College London that bridges academic research and industry partnerships in health, finance, and engineering. Matches SDSC's ETH-based positioning and translational project model.
• Data61 (CSIRO's Data & Digital Arm): Australia's national data science and digital innovation arm with applied industry/government engagements across health, energy, and environment. Highly analogous to SDSC's domain coverage and government-backed applied research positioning.

Emerging players

• Faculty AI: UK-based applied AI consultancy delivering enterprise data science projects to FTSE clients. Comparable service model (project-based data science consulting with PhD-level practitioners), but operating commercially without public funding.

Regional players

• IDIAP Research Institute: Switzerland-based non-profit AI research institute affiliated with EPFL, focused on speech, text, and multimodal AI. Regional peer with overlapping Swiss academic roots and public funding, but narrower thematic focus.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks7 records

Key highlights7 records

Customer concentration

• Xx.com/SDSCdatascience

Revenue estimate

Valuation estimate

Number of profiles

Profiles10 records

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about Swiss Data Science Center