Healthcare × Startups
Best Healthcare AI Agencies for Startups (October 2026)
Healthcare AI agencies with verified startup client evidence — ranked by depth of documented work, then editorial quality.
Each listed agency evidences at least 2 documented startup clients. Combined, the agencies below document 153 client engagements.
Ranked agencies for startup clients
Rankings updated · Newest review
London, United Kingdom
Client evidence: 29 documented clients overall · Early-stage
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 · Early-stage
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.
Modulai
#3Stockholm, 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#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.
Tallinn, Estonia
Client evidence: 10 documented clients overall · Early-stage
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.
InData Labs
Verified: the agency confirmed ownership from a company email address, and the listing passed editorial review#6Vilnius, Lithuania
Client evidence: 7 documented clients overall · Early-stage
Best for: Product teams with a defined forecasting, fraud or analytics problem who want an established ML team on fixed-price or dedicated terms.
Tallinn, Estonia
Client evidence: 7 documented clients overall · Early-stage
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
#8Wrocław, Poland
Client evidence: 6 documented clients overall · Scale-ups
Best for: Mid-market operators putting an agent inside a product or a clinical workflow, where output has to be validated before it ships.
Lyon, France
Client evidence: 6 documented clients overall · Scale-ups
Best for: French mid-market firms adding a document-analysis or automation layer to a SaaS or internal platform they already operate.
Sparkbit
#10Warsaw, Poland
Client evidence: 5 documented clients overall · Early-stage
Best for: Early-stage product companies that need the ML core of their product built, tested and handed over with the IP.
Tooploox
#11Wrocław, Poland
Client evidence: 5 documented clients overall · Scale-ups
Best for: Product teams needing an ML problem researched and built from scratch—no dataset, no proven approach—not an off-the-shelf integration.
Upside Lab
#12Kraków, Poland
Client evidence: 5 documented clients overall · Scale-ups
Best for: Teams that need governed, compliant data foundations before AI—healthcare research platforms or commerce running on real customer data.
Buildo
#13Milan, Italy
Client evidence: 5 documented clients overall · Scale-ups
Best for: Scale-ups and regulated medtech firms that need an ML or LLM feature built into an existing product by a full-stack team.
Valletta, Malta
Client evidence: 5 documented clients overall · Early-stage
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
#15London, United Kingdom
Client evidence: 5 documented clients overall · Early-stage
Best for: Early-stage B2B product teams and smaller UK or Irish firms scoping a first voice agent, agent pipeline or Claude rollout.
Imobisoft
#16London, United Kingdom
Client evidence: 4 documented clients overall · Early-stage
Best for: Health and industrial companies taking a risk-scoring or compliance-reporting workflow from paper to a regulated digital platform.
TechnoLynx
#17Budapest, Hungary
Client evidence: 4 documented clients overall · Early-stage
Best for: Hardware, codec and vision startups that need a model or GPU pipeline made faster, ported or validated, with a benchmark they keep.
B13 AI
#18Birmingham, United Kingdom
Client evidence: 4 documented clients overall
Best for: UK founders and small product teams who need a build partner at UK-regional rates, with AI as one component of a wider system.
Berlin, Germany
Client evidence: 3 documented clients overall · Early-stage
Best for: Founders putting a model inside a consumer health, sports or wellbeing product.
About this list
Health startups face a gate the rest of this segment does not: at some point a regulator, an ethics board or a hospital procurement team reads the documentation. Sort this page by how close each firm has come to that gate. Imobisoft's M-PREG platform for MirZyme Therapeutics scores preeclampsia risk at a stated 93% diagnostic accuracy and carries UKCA marking—conformity assessment actually completed, which is rare at startup scale. Sparkbit's posture-analysis core for phy went into the client's FDA application. Modulai's clinical retrieval system for Novo Nordisk and its meal detection from glucose data sit on the production side. punktum digital puts models inside consumer health products, including early infant-disease detection for DiaperID and a deep-learning model behind a smart animal-diagnosis collar. Buildo works under medical-device quality processes at Inpeco, and Dashbouquet's BetterYou therapist dashboard documents its model bake-off at pre-product stage.
Decide early which of two products you are building, because they are priced and regulated differently: something that informs a clinical decision, or something that supports a workflow around one. The first pulls in validation, clinical safety and information governance; the second largely does not. Ask each candidate which of the two they have delivered and who signed it off. An agency that has been through conformity assessment describes the paperwork without being asked; one that has not describes the model.
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
19 agencies in our directory combine verified startup client evidence with documented Healthcare work. The current top-ranked are Old St Labs, Square Root Solutions, Modulai — 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 startup 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.
6 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.