Healthcare × Project-Based Work
Best Healthcare AI Agencies for Project-Based Work (September 2026)
Healthcare AI agencies with verified project-based client evidence — ranked by depth of documented work, then editorial quality.
Each listed agency documents project-based engagements on its own site or in a published case study; the model is never inferred from a service list.
Ranked agencies for project-based clients
Rankings updated · Newest review
Top 30 of 40 agencies with documented project-based work.
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
#3Paris, 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.
OstraconAI
Verified: the agency confirmed ownership from a company email address, and the listing passed editorial review#4Helsinki, 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
#6Madrid, 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
#9Zurich, 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
#10London, 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
#11Berlin, 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.
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.
elunic
#13Munich, 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
#14Barcelona, 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.
Mercury Labs
#15London, 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.
Unit8
#16Lausanne, Switzerland
Client evidence: 5 documented clients overall
Best for: Industrial and financial enterprises building on Palantir Foundry, or weighing whether they should.
Visium
#17Zurich, 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.
Sparkbit
#18Warsaw, Poland
Client evidence: 5 documented clients overall
Best for: Early-stage product companies that need the ML core of their product built, tested and handed over with the IP.
craftworks
#19Vienna, 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
#20Warsaw, 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.
Valletta, Malta
Client evidence: 5 documented clients overall
Best for: Small firms and startups that want one embedded engineer to wire an LLM or agent into their existing tools on a modest budget.
Softblues
#22London, United Kingdom
Client evidence: 5 documented clients overall
Best for: Early-stage B2B product teams and smaller UK or Irish firms scoping a first voice agent, agent pipeline or Claude rollout.
Nebuli
#23London, 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.
Ergo
#25Dublin, 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.
Imobisoft
#26London, United Kingdom
Client evidence: 4 documented clients overall
Best for: Health and industrial companies taking a risk-scoring or compliance-reporting workflow from paper to a regulated digital platform.
TechnoLynx
#27Budapest, Hungary
Client evidence: 4 documented clients overall
Best for: Hardware, codec and vision startups that need a model or GPU pipeline made faster, ported or validated, with a benchmark they keep.
Sonalake
#28Dublin, Ireland
Client evidence: 4 documented clients overall
Best for: Telecom operators and data-heavy product companies adding forecasting or anomaly detection to a platform they already run.
Faculty
#29London, United Kingdom
Client evidence: 3 documented clients overall
Best for: Enterprises and public bodies that need AI deployed under regulatory or safety scrutiny.
Flobotics
#30Warsaw, Poland
Client evidence: 3 documented clients overall
Best for: Operations teams that want automation bought against a payback number, especially in healthcare revenue cycle.
About this list
Healthcare projects here divide by what they left behind for review. Fast Data Science's Clinical Trial Risk Tool for the Gates Foundation extracts sample size, phase and effect size from protocols running to 200 pages, and the handover was public: deployed openly, MIT-licensed, written up in Gates Open Research with a DOI. Merantix Momentum's computer-vision tool for Boehringer Ingelheim's preclinical safety studies classifies 20+ behaviors at 87% accuracy, has run since 2023 with a paper at ICML 2024 behind it. Instituto de Ingeniería del Conocimiento documents sepsis alerts at Hospital Son Llàtzer and labor-induction decision support at Fuenlabrada, while its SNOMED-CT coding at SERMAS is a pilot. Babel led one of two lots on SESPA's teledermatology app, integrated with the health service's clinical systems in December 2025. Preste's Invofficine build extracts data from scanned invoices and prescriptions inside pharmacy software, three months, no result published.
For a clinical or pharma buyer the pilot-to-production gap is the question, and the write-ups show it: daily-use systems with a validation record sit next to pilots and builds with no production status. Ask which named system is running today, what evaluation set or publication the project left behind, and who retrains it; the curator notes that Merantix's Boehringer engagement runs open-ended and that no Preste card states whether its system is live. Read the Healthcare tag against the evidence: OstraconAI's healthcare clients bought sales and marketing tools, a reference-search assistant for Nordic Healthcare Group's sales team and outreach to oncologists, not clinical systems.
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
40 agencies in our directory combine verified project-based client evidence with documented Healthcare work. The current top-ranked are Square Root Solutions, Merantix Momentum, Preste — 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 €20–400 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.
Every agency here documents project-based work on its own site or in a published case study, describing the engagement structure rather than a service-list claim. We never infer the model from portfolio tone, so this list only contains agencies that operate project-based engagements deliberately.
8 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.