Verified client fit
AI Agencies for Startups in Europe (September 2026)
Agencies with verified startup client evidence, ranked by portfolio quality and credibility.
Each listed agency evidences at least 2 documented startup clients. Combined, the agencies below document 120 client engagements.
Top picks
- 1. Vstorm — Wrocław · €85-130/hr · 6 documented clients
- 2. Square Root Solutions — Dublin · €20-40/hr · 20 documented clients
- 3. Tooploox — Wrocław · €45-85/hr · 5 documented clients
Documented clients include
Fishbrain · Invntry · Hollr · DiaperID · Abios Gaming · Tracy of Sweden
Ranked agencies for startup clients
Rankings updated · Newest review
Vstorm
#1Wrocław, 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.
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.
Tooploox
#3Wrocław, 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.
Kraków, 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.
London, 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.
Modulai
#6Stockholm, 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.
Ljubljana, Slovenia
Client evidence: 5 documented clients overall · Early-stage
Best for: Product teams that want a scoped AI build with the duration, team size and budget stated before the contract.
xtream
#8Milan, Italy
Client evidence: 4 documented clients overall · Scale-ups
Best for: Utilities, lenders and scale-ups with a defined forecasting or planning problem and the data to feed it, handed over as a production model.
Rotterdam, Netherlands
Client evidence: 2 documented clients overall · Early-stage
Best for: Founders and small teams who need a working AI feature in production fast, with the compliance reasoning written down.
Softspring
Verified: the agency confirmed ownership from a company email address, and the listing passed editorial review#10Madrid, Spain
Client evidence: 3 documented clients overall · Early-stage
Best for: Founder-led products that need one AI feature built properly, with the data boundary and the human checkpoint decided up front.
Buildo
#11Milan, 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.
Altar.io
#12Lisbon, Portugal
Client evidence: 2 documented clients overall · Early-stage
Best for: Funded founders building a regulated fintech or commerce product who want engineering that carries them to the next raise.
Qemie
#13Frankfurt, Germany
Client evidence: 4 documented clients overall · Early-stage
Best for: Small B2B teams replacing spreadsheet-and-CRM sales admin with automated pipelines their own staff can run.
Rotterdam, Netherlands
Client evidence: 5 documented clients overall · Early-stage
Best for: Scale-ups adding an AI feature to a product they already run, where the model is bought and the surrounding app must be built.
Yield Studio
#15Lyon, 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.
Dashbouquet
#16Tallinn, 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.
Berlin, Germany
Client evidence: 3 documented clients overall · Early-stage
Best for: Founders putting a model inside a consumer health, sports or wellbeing product.
Manchester, United Kingdom
Client evidence: 2 documented clients overall · Early-stage
Best for: Early-stage software companies adding an AI feature that has to work on day one of the pitch.
AI Pirates
#19Munich, Germany
Client evidence: 3 documented clients overall · Scale-ups
Best for: Media and consumer brands that want AI skills built into the team, not just a system handed over.
Madrid, Spain
Client evidence: 3 documented clients overall · Early-stage
Best for: Early-stage founders in Spain who need a product built quickly and will scope any real model work separately.
B13 AI
#21Birmingham, 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.
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.
About this list
Startup engagements are a different purchase from everything else on this register: the buyer needs a shipped feature or a working product, not a transformation program, and the budget rarely survives a large consultancy's minimum engagement. Every agency here documents at least two named clients that were early-stage (pre-Series A or under roughly 50 people) or scale-ups (post-A/B, roughly 50 to 200 and growing) at the time of the work.
The documented engagements look like startup work actually looks. Sputnik Digital built Invntry's image-identification system for home-insurance inventories and Hollr's generative video platform. punktum digital shipped deep-learning diagnostics into DiaperID's infant-health app and the computer vision inside a smart animal-diagnosis collar. Modulai's client list runs from Fishbrain's trip forecasting for millions of anglers to meal detection in a diabetes app—work priced and scoped for companies that measure runway in months.
Three things matter more at this size than at any other. Speed: every week of engagement is a week of runway, and the documented builds here shipped in weeks or a few months, not quarters. Seniority: at a small agency the people in the case studies are the people on your project, which is the main structural advantage over hiring a large firm's junior bench. And ownership: ask early who keeps the code and what runs without the agency—for a startup, a system only the vendor can operate is a liability on the cap table.
Intro by Gabor Kiss, curator · How we rank
Expert Insight
Why startup fit matters
Startup budgets buy scoped builds, not programs—the agencies here document work shipped in weeks to months, priced for companies that measure runway.
At small agencies the case-study authors are the delivery team, which removes the seniority lottery that makes large firms risky for small engagements.
Code ownership decides whether the engagement was an asset or a dependency: every documented build here describes a system the client runs, and that question belongs in your first call.
Frequently asked questions
Early-stage means pre-Series A or under roughly 50 people; scale-up means post-Series A or B, roughly 50 to 200 and growing—classified at the time of the documented engagement, with acquired or renamed clients classified as the entity that commissioned the work. Every listed agency evidences at least two documented, named clients in these categories, counted across all documented clients our research read, with source URLs stored per client.
By scoped build, not by retainer. The documented engagements on this page are bounded systems—a detection model, a generative feature, a working product—delivered in weeks to a few months. Ask for a fixed scope with acceptance criteria and a named handover point, and treat any proposal that opens with a discovery phase longer than the build as sized for a different kind of buyer.
Each qualifying client comes from a published case study or engagement description our research read in full, with the source URL stored per client. Company stage is classified from what the case study documents, and borderline cases classify to the larger tier—so nothing on this page qualifies by generosity. Logo walls without published engagements carry no weight.