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Swiss Data Science Center

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uuid000rvju

Namestring
Swiss Data Science Center
Legal namestring
Swiss Data Science Center
Websiteurl
datascience.ch
Company typeenum
Private
Founded yearint
2017
Descriptiontext

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.

Short descriptiontext

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.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
101–250
akta.pro rankint
HeadquartersZürich, Switzerland
HQ citystring
Zürich
HQ countrystring
Switzerland
HQ regionstring
Europe
Markets served

Serves global market

Offices3 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
data science services, machine learning research, AI consulting, open-source platforms, executive education
Industry4 codes
1Data, Analytics & AI Consulting
CodeBPAHAEAFPrimaryYes
2Advanced Analytics & Data Science Services
CodeBPAEAHAEPrimaryNo
3Data Science & Analytics (Data Literacy, SQL, Visualization)
CodeEDAMACAFPrimaryNo
4Data Platform (Unified Data & Analytics) Suites
CodeHDAEABADPrimaryNo
NAICS code3 codes
  • Other Scientific and Technical Consulting Services54169
  • Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services518
  • Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services51821
SIC code2 codes
  • Services-Computer Programming, Data Processing, Etc.7370
  • Services-Computer Processing & Data Preparation7374
Product category
Data Science and AI Research Services
Social media profiles1 record
GTM motion6 records

Each record includes

Type, Description, Source

Revenue model6 records
1Government Funding (ETH Domain)
TypeManaged Services
Description

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.

datascience.ch
2Cantonal Government Funding
TypeManaged Services
Description

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.

bioalps.org
3Project-Based Research Agreements
TypeProfessional Services
Description

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.

datascience.ch
4Memberships and Community Building
TypeSubscription Recurring
Description

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.

datascience.ch
5Cantonal SME Programs
TypeProfessional Services
Description

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.

datascience.ch
6Executive Education
TypeProfessional Services
Description

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.

datascience.ch
Marketing channels11 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels7 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components2 values
Personnel, Technology or R&D
Pricing details6 tiers
1Vaud SME Program - Standard Track
ModelHybridBilling cadenceMulti-year contract
Notes

Up to CHF 125,000 in direct financial assistance plus up to 1 FTE of SDSC technical expertise for 1 year period

datascience.ch
2Vaud SME Program - Foundational AI Track
ModelHybridBilling cadenceMulti-year contract
Notes

Hands-on workshops and tailored coaching sessions for organizations beginning AI journey, followed by 6-month collaboration with 0.5 FTE SDSC support for Proof of Concept development

datascience.ch
3Canton Zurich SME Program
ModelOtherBilling cadenceMulti-year contract
Notes

Participation is free of charge for SMEs; funded by Department for Economic Affairs of Canton of Zurich

datascience.ch
4Geneva AI Initiative for NGO & IO
ModelOtherBilling cadenceMulti-year contract
Notes

Course and mentoring program are free of charge for selected NGOs and IOs based in Geneva

datascience.ch
5National Calls - In-kind Projects
ModelHybridBilling cadenceAnnual
Notes

SDSC provides in-kind expertise contributions; selected proposals receive support from SDSC data scientists; projects are competitive based on impact potential

datascience.ch
6AI for Decision Makers Executive Course
ModelSubscriptionBilling cadenceAnnual
Notes

5-day executive program at ETH Zurich for leaders who want to turn data and AI into business value

datascience.ch
GTM typeB2B
B2B
Offering typeServices
Services
Core offering1 text field

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.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 5 values shown
  • LUCID project analyzes nearly 300,000 hospital stays from five Swiss university hospitals
+4 more records
Product overview1 text field

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.

Product and service1 record
1Renku 2.0
Scale indicator10 records

Each record includes

Type, Value, Description, Source

Partnership18 partners
Strategic tierStrategicTypeStrategic or Co-development PartnerAnnounced on2026-05-20
Description

Collaborative R&D project on LLM workload migration from commercial APIs to sovereign infrastructure. Partnership with HEIG-VD/IICT, SDSC, and Exoscale.

Strategic tierStrategicTypeTechnology or IntegrationAnnounced on2026-05-20
Description

Collaborative R&D project on LLM workload migration. Exoscale provides sovereign cloud infrastructure for moving LLM workloads from commercial APIs.

Strategic tierStrategicTypeStrategic or Co-development PartnerAnnounced on2026-05-20
Description

Collaborative R&D project partner for LLM workload migration. HEIG-VD (University of Applied Sciences Western Switzerland) provides research expertise.

Strategic tierStrategicTypeStrategic or Co-development PartnerAnnounced on2026-05-18
Description

Supercomputer Alps operated by CSCS and ranked 8th globally provides computational access for training neural decoding models using proprietary soft electrode technology for Neurosoft Bioelectronics.

Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2026-05-18
Description

Vaud-based startup selected in second call for projects under SDSC-canton of Vaud partnership. One of two startups receiving AI technical support and funding.

Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2026-05-18
Description

Vaud-based startup selected in second call for projects under SDSC-canton of Vaud partnership. One of two startups receiving AI technical support and funding.

Strategic tierStrategicTypeStrategic or Co-development PartnerAnnounced on2026-05-18
Description

Awarded computational access to Alps supercomputer (ranked 8th globally) to train neural decoding models using proprietary soft electrode technology.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-05-07
Description

Partnership 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.

Strategic tierStrategicTypeStrategic or Co-development PartnerAnnounced on2025-12-09
Description

Collaboration 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.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-10-08
Description

Geneva 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.

11BioMedIT Platform
Strategic tierCoreTypeTechnology or IntegrationAnnounced on2025-01-01
Description

Medical 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.

datascience.ch
12Canton of Vaud
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2024-01-01
Description

CHF 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.

bioalps.org
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2022-09-01
Description

LUCID 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.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2022-09-01
Description

Co-funder of LUCID National Data Stream project alongside SPHN. Supports national research infrastructure for personalized health data in Switzerland.

Strategic tierMinorTypeOthersAnnounced on2018-01-01
Description

Executive 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.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2017-01-01
Description

Founding 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.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2017-01-01
Description

Founding partner of SDSC. SDSC has office at ETH Zurich (Andreasturm). Collaboration on academic research, university teaching, and executive education including DAS in Data Science.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2017-01-01
Description

Third founding institution alongside EPFL and ETH Zurich. SDSC has dedicated team located at PSI in Villigen for Large-scale Infrastructures domain work.

Recent move8 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight7 records

Each record includes

Type, Description

Peers10 records
TypeBroad incumbent
Description

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.

TypeDirect peer
Description

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.

TypeEmerging player
Description

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.

4The Alan Turing Institute
TypeDirect peer
Description

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.

TypeRegional player
Description

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.

TypeDirect peer
Description

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.

TypeDirect peer
Description

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.

TypeDirect peer
Description

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.

TypeBroad incumbent
Description

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.

TypeDirect peer
Description

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.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat6 records

Each record includes

Type, Details

Key risks7 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers13 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment9 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile5 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI capability12 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature8 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles10 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

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

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

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

Swiss Data Science Center

Data Science and AI Research Servicesdatascience.ch

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.

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.

Swiss Data Science Center firmographics

Firmographics
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

Swiss Data Science Center industry classification

Industry
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

Where Swiss Data Science Center is headquartered

Location

Headquarters

HQ city
Zürich
HQ country
Switzerland
HQ region
Europe

Offices3 records

Markets served

Swiss Data Science Center business model

Business model
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

ModelBillingPrice
HybridMulti-year contractVaud SME Program - Standard Track
HybridMulti-year contractVaud SME Program - Foundational AI Track
OtherMulti-year contractCanton Zurich SME Program
OtherMulti-year contractGeneva AI Initiative for NGO & IO
HybridAnnualNational Calls - In-kind Projects
SubscriptionAnnualAI for Decision Makers Executive Course

Go-to-market motion6 records

Distribution channels7 records

Marketing channels11 records

Swiss Data Science Center product offering

Product offering

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

Companies that use Swiss Data Science Center

Customer profile

Named customers13 records

Segments9 records

Ideal customer profiles5 records

Swiss Data Science Center technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability12 records

Feature8 records

Swiss Data Science Center partnerships and signals

Strategic signal

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

Swiss Data Science Center competitors and assessment

Company assessment

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

Swiss Data Science Center social profiles

Digital presence

Swiss Data Science Center financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Swiss Data Science Center leadership team

Management profile

Number of profiles

Profiles10 records

Swiss Data Science Center funding detail

Funding detail

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Investors

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Swiss Data Science Center M&A and investment

M&A and investment

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Frequently asked questions about Swiss Data Science Center

What does Swiss Data Science Center do?

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.

Is Swiss Data Science Center a public or private company?

Swiss Data Science Center is a private company. It is classified as state government owned and is currently operating.

When was Swiss Data Science Center founded?

Swiss Data Science Center was founded in 2017. It employs 101 to 250 people.

Where is Swiss Data Science Center based?

Swiss Data Science Center is headquartered in Zürich, Switzerland, in the Europe region.

How does Swiss Data Science Center make money?

Six revenue lines are on record. Government Funding (ETH Domain) is the primary driver. The others are cantonal Government Funding, project-Based Research Agreements, memberships and Community Building, cantonal SME Programs and executive Education.

Who are Swiss Data Science Center's main competitors?

Broad incumbents on record are Fraunhofer Society and McKinsey QuantumBlack. Direct peers are Vector Institute, The Alan Turing Institute, Mila - Quebec Artificial Intelligence Institute, INRIA (French National Institute for Research in Digital Science and Technology), Imperial College Data Science Institute and Data61 (CSIRO's Data & Digital Arm). Faculty AI is listed as an emerging player. IDIAP Research Institute is listed as a regional player.

Does Swiss Data Science Center have an API?

No public API is recorded for Swiss Data Science Center.

What industry is Swiss Data Science Center in?

Swiss Data Science Center's product category is Data Science and AI Research Services. Its primary akta.pro industry code is BPAHAEAF, Data, Analytics & AI Consulting, with a secondary code of BPAEAHAE, Advanced Analytics & Data Science Services. Its NAICS code is 54169 and its SIC code is 7370.

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Live signals
Greater Geneva Bern area (GGBa)Western Switzerland steps up support for AI-driven innovationTwo Vaud-based start-ups, Bewe Lab SA and Perivision SA, have been selected in the second call for projects under the partnership between the Swiss Data Science Center and the canton of Vaud, which provides CHF 7.5 million in funding for AI technical support to companies embedding AI into Vaud's economy. Separately, Neurosoft Bioelectronics has been awarded computational access to Alps, the supercomputer operated by CSCS and ranked 8th globally, to train neural decoding models using its proprietary soft electrode technology. These developments highlight the depth of Western Switzerland's AI and data science ecosystem.BioAlpsThe Swiss Data Science Center Opens Headquarters at Biopôle in LausanneThe Swiss Data Science Center (SDSC) has inaugurated its headquarters at the Biopôle campus in Lausanne, marking its first independent space separate from partner institutions EPFL, ETH Zurich, and PSI. The Canton of Vaud is providing CHF 7.5 million in funding for 2024-2028 through its Innovation Support Fund, supporting a joint innovation program that enables Vaud-based SMEs and public bodies to collaborate with SDSC specialists on data-driven projects. The initiative includes annual calls for projects with selected proposals receiving up to CHF 125,000 in funding and tailored AI support.Devex3 ways AI can support drug innovation and global research equityIn this opinion piece, executives from Medicines for Malaria Venture argue that AI can help address stalled progress in malaria elimination by accelerating drug discovery, enabling co-creation with endemic-country researchers, and turning complex data into actionable strategies for national malaria programs. The article highlights MMV's existing and planned AI partnerships, including the MAIP platform on ChEMBL, the dd4gh platform with deepmirror launching in March 2026, and collaboration with the Swiss Data Science Center supported by the Gates Foundation, to advance next-generation antimalarial medicines.