Healthcare × Enterprises
Best Healthcare AI Agencies for Enterprises (November 2026)
Healthcare AI agencies with verified enterprise client evidence — ranked by depth of documented work, then editorial quality.
Each listed agency evidences at least 2 documented enterprise clients. Combined, the agencies below document 213 client engagements.
Ranked agencies for enterprise clients
Rankings updated · Newest review
Top 30 of 49 agencies with documented enterprise work.
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.
Modulai
#2Stockholm, 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#3Helsinki, 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.
Babel
#5Madrid, 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.
London, 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
#8Zurich, 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
#9London, 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
#10Berlin, 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
#11London, 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
#12Poznań, 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.
InData Labs
Verified: the agency confirmed ownership from a company email address, and the listing passed editorial review#13Vilnius, 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
#15Rotterdam, 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.
elunic
#16Munich, 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
#17Barcelona, 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
#18Lyon, 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.
Nexid
#19Milan, 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
#20Prague, 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
#21Lausanne, Switzerland
Client evidence: 5 documented clients overall
Best for: Industrial and financial enterprises building on Palantir Foundry, or weighing whether they should.
Visium
#22Zurich, Switzerland
Client evidence: 5 documented clients overall
Best for: Pharma and life-sciences teams that need the method described in full when the client name cannot be.
craftworks
#23Vienna, Austria
Client evidence: 5 documented clients overall
Best for: Industrial operators who need a vision or maintenance system running on their own lines and, where required, on their own infrastructure.
10Clouds
#24Warsaw, Poland
Client evidence: 5 documented clients overall
Best for: Banks, insurers and credit funds automating a defined back-office or sales workflow on a platform already run in production.
Kainos
#25Belfast, United Kingdom
Client evidence: 5 documented clients overall
Best for: UK public bodies and regulated enterprises buying delivery at program scale, with AI as one workstream inside a larger build.
Nebuli
#26London, United Kingdom
Client evidence: 5 documented clients overall
Best for: Organizations wanting a private, self-hosted generative AI workspace over their own documents rather than a public LLM.
Munich, Germany
Client evidence: 4 documented clients overall
Best for: Regulated German industrial and mid-market firms that want the model running inside their own Azure or AWS tenant.
Madrid, Spain
Client evidence: 4 documented clients overall
Best for: Enterprises already committed to Azure that want an AI system delivered by a team with Microsoft-stack depth and named references.
Ergo
#29Dublin, Ireland
Client evidence: 4 documented clients overall
Best for: Irish public institutions and regulated financial firms adding AI to a Microsoft estate they already run.
2021.AI
#30Copenhagen, Denmark
Client evidence: 4 documented clients overall
Best for: Enterprises and public institutions that want a named AI system built on a governance platform with a live production record.
About this list
Healthcare enterprises carry the widest gap in AI between what a demo shows and what an institution will deploy, and the strongest documented work on this page sits on the deployable side. Faculty worked on the NHS AI Lab's model-validation process—the layer that decides whether clinical AI is allowed to matter—and NHS England's deputy director of AI is quoted in the published case. Modulai's multi-agent retrieval system for Novo Nordisk pulls clinical-trial evidence for a listed pharmaceutical group. Hybrid Heroes shipped Springer Medizin's structured medical-training app and an e-mental-health platform with Freie Universität Berlin, and Rewire's life-sciences work carries the hard numbers its case library is known for. Pexon's Azure OpenAI speech-documentation system at Klinikum Landsberg am Lech has been live since March 2025, with more than 1,300 consultations transcribed and documentation effort cut by more than 90 percent.
Separate the two purchases this industry mixes: systems that inform care carry validation, information-governance and clinical-safety obligations that content and operational tooling do not. Ask every candidate which of the two they have actually done and who signed it off—the difference decides your compliance workload, your timeline and which of these agencies belongs on the shortlist.
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
49 agencies in our directory combine verified enterprise client evidence with documented Healthcare work. The current top-ranked are Merantix Momentum, Modulai, OstraconAI — 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 ~€108). 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 enterprise 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.
7 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.