Healthcare × B2B Companies
Best Healthcare AI Agencies for B2B Companies (November 2026)
Healthcare AI agencies with verified B2B client evidence — ranked by depth of documented work, then editorial quality.
Each listed agency evidences at least 2 documented B2B clients. Combined, the agencies below document 284 client engagements.
Ranked agencies for B2B clients
Rankings updated · Newest review
Top 30 of 71 agencies with documented B2B work.
London, United Kingdom
Client evidence: 29 documented clients overall
Best for: Founders and small UK firms building a first web or mobile product with an LLM feature inside it.
Dublin, Ireland
Client evidence: 20 documented clients overall
Best for: Irish and European SMEs and founders buying a whole product build, with AI as one layer inside it rather than the whole engagement.
Berlin, Germany
Client evidence: 19 documented clients overall
Best for: German enterprises and federal or city administrations taking a machine-learning or LLM use case from feasibility to an operated system.
Preste
#4Paris, France
Client evidence: 17 documented clients overall
Best for: Hardware and industrial firms that need computer vision running on the device, not in the cloud, delivered as a 2–6 month build.
Modulai
#5Stockholm, Sweden
Client evidence: 12 documented clients overall
Best for: Product teams that need a model shipped into production, from clinical retrieval to real-time vision on constrained hardware.
OstraconAI
Verified: the agency confirmed ownership from a company email address, and the listing passed editorial review#6Helsinki, Finland
Client evidence: 11 documented clients overall
Best for: Nordic marketing and sales teams that want AI tools built into HubSpot, Teams or Microsoft 365 and their own staff trained to run them.
Madrid, Spain
Client evidence: 10 documented clients overall
Best for: Spanish utilities, public hospitals and large employers bringing a forecasting, clinical-data or Spanish-language modeling problem.
Tallinn, Estonia
Client evidence: 10 documented clients overall
Best for: Seed-stage founders who want an LLM feature or a data-extraction pipeline built into a product by the same team that ships the app.
Tallinn, Estonia
Client evidence: 9 documented clients overall
Best for: Operators with data spread across many systems who want the pipeline and the model built and run by one team.
Babel
#10Madrid, Spain
Client evidence: 9 documented clients overall
Best for: Spanish and Portuguese banks, insurers and public administrations wanting AI delivered by a large integrator with the data work around it.
Datatonic
#11London, United Kingdom
Client evidence: 8 documented clients overall
Best for: Enterprises standardizing ML delivery on Google Cloud or AWS, especially where a regulator has to be satisfied.
London, United Kingdom
Client evidence: 8 documented clients overall
Best for: Pharma, research and public-sector buyers with an NLP problem on unstructured documents that has to survive review.
Zühlke
#13Zurich, Switzerland
Client evidence: 8 documented clients overall
Best for: Regulated enterprises buying AI inside a system an engineering firm will also build, run and document.
Kortical
#14London, United Kingdom
Client evidence: 8 documented clients overall
Best for: Enterprises with a defined prediction or document-automation problem that want a model in production in weeks.
Lautmaler
#15Berlin, Germany
Client evidence: 8 documented clients overall
Best for: Enterprises putting voice or chat in front of real customers, where a wrong answer reaches the public.
Transparity
#16London, United Kingdom
Client evidence: 8 documented clients overall
Best for: UK enterprises, charities and public bodies already on Microsoft 365 and Azure that want Copilot adopted and governed.
Merixstudio
#17Poznań, Poland
Client evidence: 8 documented clients overall
Best for: Product owners modernizing a platform who want AI inside the delivery process and in selected features, not a model built from scratch.
Stockholm, Sweden
Client evidence: 8 documented clients overall
Best for: Swedish B2B software and service companies that want search, paid media and AI-assistant visibility run by one marketing agency.
InData Labs
Verified: the agency confirmed ownership from a company email address, and the listing passed editorial review#19Vilnius, Lithuania
Client evidence: 7 documented clients overall
Best for: Product teams with a defined forecasting, fraud or analytics problem who want an established ML team on fixed-price or dedicated terms.
Berlin, Germany
Client evidence: 7 documented clients overall
Best for: Product owners adding AI to an app that already has users, rather than starting from a model.
KVL
#21Rotterdam, Netherlands
Client evidence: 7 documented clients overall
Best for: Dutch insurers, pension providers and care organizations building a Microsoft data platform and an in-house data team.
Tallinn, Estonia
Client evidence: 7 documented clients overall
Best for: Funded startups that need the interface and front end of an AI product designed and built while the model stays in-house.
Vstorm
#23Wrocław, Poland
Client evidence: 6 documented clients overall
Best for: Mid-market operators putting an agent inside a product or a clinical workflow, where output has to be validated before it ships.
elunic
#24Munich, Germany
Client evidence: 6 documented clients overall
Best for: Manufacturers automating one inspection station or technical-document search on an existing line, not buying an open-ended AI program.
Bismart
#25Barcelona, Spain
Client evidence: 6 documented clients overall
Best for: Organizations whose AI plans depend on fixing the data layer first, especially in healthcare, public services and tourism.
Yield Studio
#26Lyon, France
Client evidence: 6 documented clients overall
Best for: French mid-market firms adding a document-analysis or automation layer to a SaaS or internal platform they already operate.
Mercury Labs
#27London, United Kingdom
Client evidence: 6 documented clients overall
Best for: UK public bodies and publicly funded research programs building AI tools that keep expert reviewers in charge.
Nexid
#28Milan, Italy
Client evidence: 6 documented clients overall
Best for: Italian enterprises and institutions that want AI scoped inside a wider process, governance or platform engagement.
DataSentics
#29Prague, Czech Republic
Client evidence: 5 documented clients overall
Best for: Large enterprises in finance, insurance, retail and e-commerce that need a production ML system built with a named internal data team.
Unit8
#30Lausanne, Switzerland
Client evidence: 5 documented clients overall
Best for: Industrial and financial enterprises building on Palantir Foundry, or weighing whether they should.
About this list
Healthcare B2B work—systems sold to providers, pharma and medical publishers rather than to patients—carries regulatory weight that ordinary operational AI does not, and the strongest agencies here have documented engagements on the right side of it. Faculty's NHS AI Lab validation work sits at the regulated end of the category, and Sonrai Analytics works that end from diagnostics—computational pathology and IVD medical devices built toward EU IVDR conformity assessment with Queen's University Belfast's Precision Medicine Centre. Modulai's multi-agent retrieval system pulls clinical-trial evidence for Novo Nordisk in production. Hybrid Heroes shipped Springer Medizin's structured training app for doctors and an e-mental-health platform with Freie Universität Berlin, and appliedAI, Rewire, Lautmaler and Amsterdam Data Collective sit on a roster whose strongest case studies skew unusually concrete. Merantix Momentum adds preclinical video analysis for Boehringer Ingelheim at 87% accuracy, with a paper presented at ICML 2024. The page has grown well past its specialists, though: for several later arrivals the healthcare work on record is a data platform for a care provider, order and expiry tracking for a medical-device distributor, or AI-assistant visibility for a clinic-software maker, so read each card before assuming clinical AI.
The question that sorts this page is classification: does the documented system inform clinical decisions, or does it serve the operations around them? The first carries validation and clinical-safety obligations that reshape budgets and timelines; the second ships like ordinary enterprise software. Every candidate should be able to say immediately which side their work sat on and who signed it off—hesitation on that question, in this industry, is disqualifying.
Intro by Gabor Kiss, curator · How we rank
Expert Insight
Why Healthcare experience matters
Regulatory boundary awareness—The line between a documentation aid and a medical device under MDR decides your entire compliance burden. Specialists scope products to stay on the intended side of that line deliberately; generalists cross it by accident and find out during legal review
Clinical-data reality—Real clinical text is abbreviations, negations, copy-paste artifacts, and multiple languages in one record. Models that score well on public benchmarks routinely fall apart on it. Specialists validate on your data before promising numbers
Clinician adoption—Doctors have minutes per patient and no patience for tools that add clicks. Specialists design for the workflow that exists—EHR integration, review-and-sign patterns, keyboard-speed corrections—because a technically correct tool nobody opens delivers nothing
GDPR discipline for health data—Health data is special-category data with a higher lawful-basis bar, and 'send it to a third-country API' is a decision, not a default. Specialists bring data-processing agreements, EU hosting options, and de-identification pipelines as standard equipment
Frequently asked questions
71 agencies in our directory combine verified B2B client evidence with documented Healthcare work. The current top-ranked are Old St Labs, Square Root Solutions, Merantix Momentum — ordered by depth of documented client evidence, then our editorial scoring (portfolio quality, credibility, completeness); placement is never paid.
Published rates across this page's agencies run €20–300 per hour (median ~€65). Project totals depend on scope — the rate index at /rates breaks the computed bands down by region, country and team size.
Each listed agency has at least two documented, named B2B clients — published case studies or engagement descriptions our research actually read, with source URLs stored per client. Logo walls without published evidence carry no weight, which is what separates this list from self-declared directories.
13 of the agencies on this page document an embedded / team-extension working model. See the team-extension page for the full verified list, or check the engagement chips on individual profiles.