DataHow
DataHow provides the DataHowLab cloud SaaS platform, applying hybrid mechanistic-plus-machine-learning modeling, transfer learning, and digital twins to accelerate bioprocess development for large biopharma, CDMOs, and emerging biotech innovators.
- Company typePrivate
- Founded2017
- HeadquartersZürich, Switzerland
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What DataHow does
DataHow is a privately held Swiss software and services company, spun out of ETH Zurich in 2017, that develops AI-powered software for bioprocess development and manufacturing. The company's primary product, DataHowLab, is a cloud-native SaaS platform that applies a proprietary hybrid modeling approach — combining a mechanistic bioprocess backbone with machine learning — alongside transfer learning and digital twin capabilities to help process scientists design fewer and better experiments than classical Design of Experiments, transfer insights across projects and scales, and monitor production processes in real time. The platform is ISO 27001 certified and integrates with the broader bioprocess IT stack including LIMS, SCADA, PAT, MES, data historians, PlantPAx, and Eppendorf's BioNsight cloud.
DataHow serves a primarily enterprise biopharma customer base, with disclosed relationships spanning 12 of the top 20 Big Pharma companies plus named customers including KBI Biopharma, Janssen, CureVac, Wheeler Bio, Procelys (Lesaffre), and iBET, alongside CDMOs, emerging biotech innovators, and biosimilar developers. Revenue is generated through three streams: annual DataHowLab SaaS subscriptions (quote-based, sales-assisted onboarding with one-month proof of concept available), customized Innovation Projects and professional services (digital readiness assessments, proof of concept, custom modeling), and education/training (Data Science Courses and DataHow Academy). Distribution is primarily direct enterprise field sales, supplemented by an inside sales function and a flagship strategic partnership with Eppendorf SE for integrated digital bioprocessing solutions. The company is headquartered in Zurich with operating entities in Lisbon, Milan, and Philadelphia, and is backed by Series A investors Momenta Ventures (lead), Rockwell Automation, and Zürcher Kantonal Bank.
DataHow firmographics
Firmographics- Name
- DataHow
- Legal name
- DataHow AG
- Website
- https://datahow.ch
- Company type
- Private
- Founded year
- 2017
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- DataHow provides the DataHowLab cloud SaaS platform, applying hybrid mechanistic-plus-machine-learning modeling, transfer learning, and digital twins to accelerate bioprocess development for large biopharma, CDMOs, and emerging biotech innovators.
- Ownership category
- akta.pro rank
DataHow industry classification
Industry- Product category
- Bioprocess Development Software
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Prepackaged Software (7372)
- akta.pro primary industry
- Data Platform (Unified Data & Analytics) Suites (HDAEABAD)
- akta.pro secondary industries
- Data Platforms & Modern Data Stack Services (Lakehouse, DW, MDM) (BPAEAHAC), Feature Stores & ML Data Management (HDAAABAB), Real-Time / Streaming Data Warehousing (HDAEABAF)
Keywords
Where DataHow is headquartered
LocationHeadquarters
- HQ city
- Zürich
- HQ country
- Switzerland
- HQ region
- Europe
Offices4 records
Markets served
DataHow business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure
Revenue model
- DataHowLab SaaS Subscription: Cloud-native SaaS platform licensed to biopharma companies for bioprocess development. Subscription-based licensing with comprehensive training and support included. ISO 27001 certified platform.
- Innovation Projects & Professional Services: Customized consulting and project services applying innovative technology and methods to development projects. Includes strategy development, digital readiness assessment, proof of concept projects, process data analytics, modeling support, and custom development projects.
- Education & Training Courses: Data science courses and training programs led by leadership team for data scientists and process scientists. Includes Advanced Process Data Analytics courses, hands-on exercises, and access to DataHow Symposium.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise SaaS subscription for biopharma organizations |
Go-to-market motion3 records
Distribution channels5 records
Marketing channels7 records
DataHow product offering
Product offeringCore offering
DataHow develops and sells DataHowLab, a cloud-native SaaS platform that applies hybrid modeling (mechanistic backbone combined with machine learning), transfer learning, and digital twin technologies to bioprocess development. The platform enables process scientists in biopharma, CDMOs, and biotech companies to design fewer and better experiments, accelerate development timelines, and transfer process knowledge across projects and scales.
Product overview
DataHow offers DataHowLab as its primary cloud-native SaaS platform for AI-powered bioprocess development. DataHowLab embeds hybrid modeling technology, transfer learning, and digital twin capabilities within a user-friendly environment. The portfolio also includes SpectraHow for spectral data analytics, Innovation Projects & Services for custom consulting engagements, Data Science Courses for professional education, and DataHow Academy for platform training and support.
Differentiator
Problem solved
Functional benefit
Products and services
- DataHowLab Cloud-native SaaS platform providing AI-powered bioprocess development with hybrid modeling, transfer learning, and digital twin capabilities. Enables process scientists in biopharma, CDMOs, and biotech to design fewer and better experiments, accelerate development timelines, and transfer knowledge across projects and scales. ISO 27001 certified.
- Innovation Projects & Services Customized consulting and professional services applying innovative technology and methods to bioprocess development projects. Includes strategy development, proof of concept projects, digital readiness assessment, process data analytics, modeling support, and custom development projects for biopharma, CDMOs, and industrial bioprocessing clients.
- Data Science Courses Process data analytics and process modeling courses for data scientists and process scientists. Covers advanced concepts including hybrid process modeling, multivariate data analysis, and machine learning techniques. Includes Advanced Process Data Analytics courses with hands-on exercises and access to the DataHow Symposium.
- DataHow Academy On-demand training and support program providing written lessons and video tutorials on data processing, project creation, model development, and process simulation for DataHowLab users. Delivered as a standalone training program alongside the platform.
Quantifiable outcome
- Cut experimental runs by at least 40% compared to DOE without compromising process insight or model quality
- +4 more outcomes
Companies that use DataHow
Customer profileNamed customers6 records
Segments5 records
Ideal customer profiles5 records
DataHow technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration8 records
AI capability6 records
Feature5 records
DataHow partnerships and signals
Strategic signalPartnerships
Five partnerships are on record, tiered flagship, core, major and supporting.
- Eppendorf SEflagshipStrategic collaboration to transform bioprocess development. Integrates DataHowLab with Eppendorf's cloud-based monitoring platform BioNsight and bioreactors. Provides scientists with unparalleled insight and analytics capabilities. Joint webinar and case study collaboration.
- BioNsightcoreBioNsight cloud platform integration with DataHowLab enables advanced analytics and predictive insights optimizing process parameters across development stages. Part of Eppendorf strategic collaboration.
- PlantPAxmajorIntegration with PlantPAx brings optimized process recipes and real-time monitoring into manufacturing environment. Enhances operational efficiency and proactive decision-making.
- iBETmajorCollaborative research partnership for hybrid modeling in cell therapy. Worked together on scalable cardiomyocytes expansion case study demonstrating optimal feed and DO combinations.
- Academic PartnershipssupportingAcademic partnerships shown in logos section. Company founded from ETH Zurich research. Multiple publications with academic collaborators. Team includes professors and advisors from Politecnico Milano and ETH Zurich.
Scale indicators8 records
Recent moves6 records
Expansion highlights7 records
DataHow competitors and assessment
Company assessmentBroad incumbents
- Aspen Technology: Industrial AI and process optimization software serving process industries including specialty chemicals, pharma, and biotech. Comparable as an established industrial AI/process modeling vendor expanding into life sciences.
- Siemens Digital Industries: Industrial automation and digital twin portfolio with biopharma process manufacturing offerings (including PlantPAx, which DataHow integrates with). Comparable as a broad industrial automation incumbent with overlapping bioprocess digital capabilities.
- Sartorius Stedim Biotech: Global bioprocess equipment and solutions leader with a portfolio that increasingly includes digital bioprocessing software. Comparable as a broader incumbent moving into the same AI-enabled bioprocess development category.
- Cytiva (Danaher): Major bioprocess supplier under Danaher offering bioreactors, consumables, and process development software/services. Comparable as a broad incumbent with overlapping digital and bioprocess development offerings.
Direct peers
- Genedata: Enterprise biopharma R&D data management and analytics platform serving large pharma with workflows for screening, process, and analytical data. Comparable as a vertically integrated informatics vendor to Big Pharma R&D organizations.
- Dotmatics: Scientific R&D informatics platform serving biopharma with data management, analytics, and workflow tools. Comparable as a vertically focused SaaS informatics vendor for life sciences R&D.
- IDBS (Danaher): Biopharmaceutical R&D data management and process informatics platform, part of Danaher's life sciences portfolio. Directly comparable as an enterprise data and workflow platform for bioprocess development.
- Insilico Biotechnology: Stuttgart-based provider of mechanistic and hybrid modeling software for bioprocess optimization. Closely comparable to DataHow in technology stack (mechanistic + ML models) and customer base (industrial bioprocess).
Emerging players
- Benchling: Cloud R&D platform for biotech covering molecular biology, process development, and quality data. Overlaps with DataHow on bioprocess data capture and analytics, though Benchling is broader and earlier-stage in bioprocess-specific modeling.
- Schrödinger: Computational chemistry and biology platform with growing bioprocess and biologics modeling capabilities. Comparable as an AI-driven scientific platform targeting biopharma R&D, with partial overlap in process modeling use cases.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
DataHow social profiles
Digital presenceDataHow compliance and trust
Trust signalCompliance1 record
DataHow financial estimates
Financial estimateRevenue estimate
Valuation estimate
DataHow leadership team
Management profileNumber of profiles
Profiles7 records
DataHow subsidiaries and ownership
Company hierarchySubsidiaries3 records
DataHow funding detail
Funding detailFunding overview
Funding rounds3 records
Investors4 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
DataHow 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 DataHow
What does DataHow do?
DataHow develops and sells DataHowLab, a cloud-native SaaS platform that applies hybrid modeling (mechanistic backbone combined with machine learning), transfer learning, and digital twin technologies to bioprocess development. The platform enables process scientists in biopharma, CDMOs, and biotech companies to design fewer and better experiments, accelerate development timelines, and transfer process knowledge across projects and scales.
Is DataHow a public or private company?
DataHow is a private company. It is classified as venture growth investor backed and is currently operating.
When was DataHow founded?
DataHow was founded in 2017. It employs 11 to 50 people.
Where is DataHow based?
DataHow is headquartered in Zürich, Switzerland, in the Europe region.
How does DataHow make money?
Three revenue lines are on record. DataHowLab SaaS Subscription is the primary driver. The others are innovation Projects & Professional Services and education & Training Courses.
Who are DataHow's main competitors?
Broad incumbents on record are Aspen Technology, Siemens Digital Industries, Sartorius Stedim Biotech and Cytiva (Danaher). Direct peers are Genedata, Dotmatics, IDBS (Danaher) and Insilico Biotechnology. Emerging players are Benchling and Schrödinger.
Does DataHow have an API?
No public API is recorded for DataHow.
What industry is DataHow in?
DataHow's product category is Bioprocess Development Software. Its primary akta.pro industry code is HDAEABAD, Data Platform (Unified Data & Analytics) Suites, with a secondary code of BPAEAHAC, Data Platforms & Modern Data Stack Services (Lakehouse, DW, MDM). Its NAICS code is 5182 and its SIC code is 7370.