Datahouse
Datahouse AG is a Swiss data science and custom software firm, founded in 2005 as an ETH Zürich spin-off and wholly owned by Wüest Partner AG, that builds cloud-native data platforms and AI-enabled applications for Swiss banks, insurers, real estate platforms, and select public-sector clients.
- Company typePrivate
- Founded2005
- HeadquartersZürich, Switzerland
- Headcount11–50
- GTM typeB2B
- OfferingServices
What Datahouse does
Datahouse AG is a Swiss data science and custom software development firm founded in 2005 as a spin-off of ETH Zürich and operating today as a wholly-owned subsidiary of Wüest Partner AG. The company is headquartered in Zürich with additional offices in Bern (Switzerland) and Lisbon (Portugal) and employs between 11 and 50 staff. It builds data platform solutions, business applications, and AI-enabled tools, with a primary focus on Swiss banks, insurance companies, real estate platforms, and selected public sector and SME clients. Named customers include Zürcher Kantonalbank, UBS, Vontobel, Mobiliar, Swiss Life, Migros, Comparis, Scout24, and Kanton Zürich.
The core technology stack is cloud-native, built on Microsoft Azure, Microsoft Fabric, Databricks Lakehouse, Docker, and Kubernetes, with application layers in Java/Spring and React/Angular and CI/CD-driven delivery. Datahouse develops proprietary modules for banking — Advisory Portal, Portfolio Optimizer, Client Maker, Upsell Automator — alongside a Market Radar web-crawling solution and a RAG-based AI chatbot that combines large language models such as ChatGPT with proprietary data sources. It also operates a Data and AI Academy for corporate training. The company's principal differentiator is deep integration expertise with Avaloq and Finnova core banking systems and FINMA/DSGVO compliance, positioning Datahouse as the implementation partner of choice within the Swiss banking data ecosystem.
Datahouse generates revenue primarily through professional services engagements: custom software development, data platform implementation and managed services, consulting, and corporate training. Pricing is quote-based and not publicly disclosed; the go-to-market is direct enterprise sales supported by a five-tier career structure (Professional to Partner) indicating dedicated account management. Distribution is direct, regional (Switzerland-dominant), with no reseller or marketplace channels identified; the Lisbon office functions as a nearshore engineering hub. No external funding rounds, mergers, acquisitions, or leadership changes beyond the long-standing Wüest Partner ownership have been disclosed.
Datahouse firmographics
Firmographics- Name
- Datahouse
- Legal name
- Datahouse AG
- Website
- https://datahouse.ch
- Company type
- Private
- Founded year
- 2005
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Datahouse AG is a Swiss data science and custom software firm, founded in 2005 as an ETH Zürich spin-off and wholly owned by Wüest Partner AG, that builds cloud-native data platforms and AI-enabled applications for Swiss banks, insurers, real estate platforms, and select public-sector clients.
- Ownership category
- akta.pro rank
Datahouse industry classification
Industry- Product category
- Enterprise Data & Analytics Services
- NAICS
- Computer Systems Design and Related Services (54151), Computer Facilities Management Services (541513)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Data Platforms & Modern Data Stack Services (Lakehouse, DW, MDM) (BPAEAHAC)
- akta.pro secondary industries
- Lakehouse Platforms (HDAEABAB), Data Platform (Unified Data & Analytics) Suites (HDAEABAD)
Keywords
Where Datahouse is headquartered
LocationHeadquarters
- HQ city
- Zürich
- HQ country
- Switzerland
- HQ region
- Europe
Offices3 records
Markets served
Datahouse business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure
Revenue model
- Custom Software Development: Development of bespoke software solutions tailored to client business requirements. Projects include advisory portals, portfolio optimization tools, and custom applications. Revenue generated through project fees and professional services.
- Data Platform Solutions: Implementation and consulting for data platform solutions including Microsoft Fabric, Databricks, and custom platforms. Revenue from consulting, implementation, and ongoing platform support.
- Data and AI Academy Training: Corporate training programs in Data Science and AI. Offerings include introductory courses, hands-on sessions, and customized individual courses. Training for board members, executive management, and employees.
- Consulting Services: Advisory and consulting services for data strategy, requirements analysis, statistics and data topics. Accompaniment through all steps of the data process.
Go-to-market motion2 records
Distribution channels1 record
Marketing channels6 records
Datahouse product offering
Product offeringCore offering
Datahouse provides end-to-end data science consulting and custom software development for Swiss enterprises, primarily banks and insurance companies. It implements and operates data platform solutions (Microsoft Fabric, Databricks Lakehouse, custom on-premise platforms) and builds domain-specific applications such as advisory portals, portfolio optimizers, RAG-based chatbots, and market intelligence tools. Services span requirements analysis, statistics, data integration, implementation, and ongoing platform support.
Differentiator
Problem solved
Functional benefit
Brands
- RAG-Chatbot: AI-powered chatbot solution using Retrieval-Augmented Generation technology for interacting with company documents and data.
- Data und AI Academy
- Market Radar
- Advisory Portal
- Portfolio Optimizer
- Client Maker
- Upsell Automator
- Wüest Dimensions
Products and services
- Banking Data Platform
- Microsoft Fabric Data Platform Implementation
- Databricks Lakehouse Implementation
- Datahouse Custom On-Premise Data Platform
- Advisory Portal
- Portfolio Optimizer
- Client Maker
- Upsell Automator
- RAG-Chatbot
- Market Radar
- Wüest Dimensions
- Data and AI Academy Training
- Data Strategy and Consulting Services
Quantifiable outcome
- RAG-Chatbot deployment ready within 3 months
- +1 more outcomes
Companies that use Datahouse
Customer profileNamed customers23 records
Segments5 records
Ideal customer profiles3 records
Datahouse technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration11 records
AI capability6 records
Feature10 records
Datahouse partnerships and signals
Strategic signalPartnerships
Four partnerships are on record, tiered core and major.
- MicrosoftcorePreferred technology partner for data platform implementations using Microsoft Azure ecosystem and Microsoft Fabric. Microsoft Fabric is highlighted as a leading platform in the 2024 Gartner Magic Quadrant for Data Science and Machine Learning. Services include dashboards with Microsoft Power BI integration.
- DatabricksmajorTechnology partner for lakehouse implementations. Databricks is recognized as a first-mover in the data platform space with detailed infrastructure configuration capabilities. Supports multiple cloud providers.
- AvaloqcoreAvaloq core banking system integration is a key capability for banking data platforms. Deep expertise in Avaloq data models for Swiss banking clients.
- FinnovacoreFinnova core banking system integration is a key capability for banking data platforms. Deep expertise in Finnova data models for Swiss banking clients.
Scale indicators2 records
Recent moves7 records
Expansion highlights5 records
Datahouse competitors and assessment
Company assessmentDirect peers
- ti&m: Swiss boutique digital and software engineering consultancy of comparable size, with strong banking and insurance vertical focus. Highly comparable to Datahouse in services mix (custom software, data platforms, digital transformation) and customer profile in Swiss financial services.
- Netcetera: Swiss software firm specializing in fintech, payments, and banking solutions with international reach. Comparable to Datahouse in Swiss banking software focus, multi-disciplinary engineering model, and enterprise B2B sales motion.
- AdNovum: Swiss IT consultancy specializing in banking, insurance, and security-critical software. Directly comparable to Datahouse in its Swiss banking domain expertise, custom software development model, and tier-1 financial services client base.
- ELCA Informatique: One of the largest independent Swiss IT services firms with deep banking, insurance, and public sector clients. Comparable to Datahouse as a multi-disciplinary Swiss software and data engineering provider serving tier-1 Swiss institutions.
- Isolutions: Swiss Microsoft-focused data and analytics consultancy. Most directly comparable to Datahouse in its specialization on Microsoft data stack (Fabric, Power BI, Azure) implementations for Swiss enterprise clients.
- Ergon Informatik: Swiss software company with strong fintech and banking focus, known for digital banking solutions. Comparable to Datahouse in its Swiss banking specialization, custom engineering model, and emphasis on quality and reliability for regulated clients.
- Inventx: Swiss IT specialist focused exclusively on the banking and financial services sector. Highly comparable to Datahouse in its Swiss banking vertical specialization, core banking system expertise, and mid-sized boutique delivery model.
Broad incumbents
- Swisscom (Business Customers): Switzerland's incumbent telecom and largest IT services provider, with broad enterprise and public-sector data platform capabilities. Comparable to Datahouse as a partner-option for data platform hosting (Datahouse explicitly references Swisscom Enterprise Service Cloud) and as a much larger competitor for enterprise data work.
- Deloitte (Switzerland): Big Four firm with a Swiss analytics and AI practice serving major banks and insurers. Comparable to Datahouse in its enterprise data strategy and platform implementation services for regulated Swiss financial institutions.
- Accenture (Switzerland): Global systems integrator with a substantial Swiss banking and insurance practice. Comparable to Datahouse as a competing delivery partner for Microsoft Fabric and Databricks enterprise builds at large Swiss banks and insurers, with much greater scale.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks7 records
Key highlights7 records
Customer concentration
Datahouse social profiles
Digital presenceDatahouse financial estimates
Financial estimateRevenue estimate
Valuation estimate
Datahouse leadership team
Management profileNumber of profiles
Profiles3 records
Datahouse funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Datahouse M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Datahouse
What does Datahouse do?
Datahouse provides end-to-end data science consulting and custom software development for Swiss enterprises, primarily banks and insurance companies. It implements and operates data platform solutions (Microsoft Fabric, Databricks Lakehouse, custom on-premise platforms) and builds domain-specific applications such as advisory portals, portfolio optimizers, RAG-based chatbots, and market intelligence tools. Services span requirements analysis, statistics, data integration, implementation, and ongoing platform support.
Is Datahouse a public or private company?
Datahouse is a private company. It is classified as corporate owned and is currently operating.
When was Datahouse founded?
Datahouse was founded in 2005. It employs 11 to 50 people.
Where is Datahouse based?
Datahouse is headquartered in Zürich, Switzerland, in the Europe region.
How does Datahouse make money?
Four revenue lines are on record. Custom Software Development is the primary driver. The others are data Platform Solutions, data and AI Academy Training and consulting Services.
Who are Datahouse's main competitors?
Direct peers on record are ti&m, Netcetera, AdNovum, ELCA Informatique, Isolutions, Ergon Informatik and Inventx. Broad incumbents are Swisscom (Business Customers), Deloitte (Switzerland) and Accenture (Switzerland).
Does Datahouse have an API?
No public API is recorded for Datahouse.
What industry is Datahouse in?
Datahouse's product category is Enterprise Data & Analytics Services. Its primary akta.pro industry code is BPAEAHAC, Data Platforms & Modern Data Stack Services (Lakehouse, DW, MDM), with a secondary code of HDAEABAB, Lakehouse Platforms. Its NAICS code is 54151 and its SIC code is 7370.