Verified client fit
AI Agencies for B2B Companies in Europe (September 2026)
Agencies with verified B2B client evidence, ranked by portfolio quality and credibility.
Each listed agency evidences at least 2 documented B2B clients. Combined, the agencies below document 166 client engagements.
Top picks
Documented clients include
HSBC · HEINEKEN · Deutsche Bahn · Tide · Scout24 · Syngenta
Ranked agencies for B2B clients
Rankings updated · Newest review
Top 30 of 126 agencies with documented B2B work.
Adastra
#1Frankfurt, Germany
Client evidence: 10 documented clients overall
Best for: Banks, insurers and manufacturers that need AI put under approval paths, audit trails and cost limits before it scales.
Satalia
#2London, United Kingdom
Client evidence: 6 documented clients overall
Best for: Enterprises with a scheduling, routing or workforce-allocation problem big enough to justify operations-research specialists.
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.
Prague, 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
#5Lausanne, Switzerland
Client evidence: 5 documented clients overall
Best for: Industrial and financial enterprises building on Palantir Foundry, or weighing whether they should.
Artefact
#6Paris, France
Client evidence: 5 documented clients overall
Best for: Large consumer and industrial groups that want AI agents adopted across a workforce, not piloted in one team.
ML6
#7Ghent, Belgium
Client evidence: 5 documented clients overall
Best for: Enterprises and public bodies putting AI into production systems that already carry real traffic.
Faculty
#8London, United Kingdom
Client evidence: 3 documented clients overall
Best for: Enterprises and public bodies that need AI deployed under regulatory or safety scrutiny.
Twistag
#9Lisbon, Portugal
Client evidence: 2 documented clients overall
Best for: Operators with a document or workflow bottleneck that needs an agent auditable enough for finance or compliance to delegate to.
Vstorm
#10Wrocław, 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.
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.
Visium
#12Zurich, 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.
Helsinki, Finland
Client evidence: 5 documented clients overall
Best for: Regulated Finnish and Nordic enterprises that need an AI system governed, certified and operated, not just delivered.
Solita
#14Helsinki, Finland
Client evidence: 5 documented clients overall
Best for: Large organizations in regulated or industrial settings that need analytics and AI delivered with the data platform underneath it.
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.
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.
dida
#17Berlin, Germany
Client evidence: 3 documented clients overall
Best for: Organizations with a hard perception or document problem who want the method documented, not just the result.
Rewire
#18Amsterdam, Netherlands
Client evidence: 3 documented clients overall
Best for: Enterprises running an AI program who want their own team able to continue it afterwards.
Halfspace
#19Copenhagen, Denmark
Client evidence: 5 documented clients overall
Best for: Nordic enterprises with an operating problem—capacity, pricing, safety—where a few percent of throughput is worth millions a year.
Ergo
#20Dublin, 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.
Dublin, Ireland
Client evidence: 4 documented clients overall
Best for: Software vendors and public bodies modernizing an Azure platform, where new AI has to fit systems already carrying live volume.
Ghent, Belgium
Client evidence: 5 documented clients overall
Best for: Enterprises adding AI to a product or support workflow they already run, with the delivery team embedded alongside their own.
Squirro
#23Zurich, Switzerland
Client evidence: 4 documented clients overall
Best for: Regulated enterprises buying a retrieval and knowledge platform with the delivery work attached, not a bespoke build.
Zühlke
#24Zurich, 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.
appliedAI
#25Munich, Germany
Client evidence: 2 documented clients overall
Best for: Industrial enterprises running an AI program that has to satisfy governance as well as engineering.
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.
MindTitan
#27Tallinn, Estonia
Client evidence: 4 documented clients overall
Best for: Nordic and Baltic operators that want a measured ML system built end to end by the team that will hand it over.
Tooploox
#28Wrocław, Poland
Client evidence: 5 documented clients overall
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
#29Kraków, Poland
Client evidence: 5 documented clients overall
Best for: Teams that need governed, compliant data foundations before AI—healthcare research platforms or commerce running on real customer data.
Kortical
#30London, 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.
About this list
Most of the register's documented work is business-to-business, which makes this the broadest segment page—and the one where the definition earns its keep. An agency appears here when at least two of its documented, named clients were businesses buying for their own operations or their own business customers: HSBC's market-abuse surveillance models at Brainpool, HEINEKEN's procurement assistant at WeAreBrain, Deutsche Bahn anomaly detection at dida, Scout24's evaluation-framework build at ML6, generative support tooling inside Tide's live operation at Faculty. Classification follows the engagement, not the client's logo: a bank buying an internal document system is a B2B engagement even though the bank serves consumers.
B2B AI work has a shape worth knowing before shortlisting. The system usually lands inside an existing operational stack—an ERP, a CRM, a ticketing queue, a trading floor—so integration and permissions carry as much of the budget as the model does. Outcomes are measured in operational numbers: handle time, error rate, hours of preparation removed. And the buyer usually has to defend the purchase internally, which is why the agencies at the top of this list publish before-and-after figures rather than adjectives.
This is the largest roster of any segment. Use the documented-client counts on each card to separate practices with a body of B2B work from those with exactly two qualifying engagements, and use the city and service pages to narrow by geography or discipline.
Intro by Gabor Kiss, curator · How we rank
Expert Insight
Why B2B fit matters
B2B AI lives inside operational systems, so integration experience is delivery experience—an agency that has shipped into an ERP or a ticketing queue has already fought the battles your project will fight.
Operational outcomes are checkable in a way marketing outcomes are not: handle time, error rate and hours removed either moved or they did not, and the strongest agencies here publish those numbers.
The internal business case matters—an agency whose case studies quantify results gives your sponsor the numbers to defend the budget with.
Frequently asked questions
A client whose engagement served business customers or internal business operations—classification follows the engagement context first, the client's primary revenue model as fallback. Two-sided businesses can legitimately count as both B2B and consumer, so some agencies hold both chips. Every listed agency evidences at least two documented, named B2B clients, with source URLs stored per client.
Each qualifying client comes from a published case study or engagement description our research read in full—never from a logo wall or a claimed client list. The evidence line on each card shows the agency's total documented clients across all segments, which is the honest number: we never invent per-segment counts the data does not have.
Because most AI delivery in Europe is B2B—the roster reflects the market, not a loose bar. The differentiation sits one level down: documented-client counts vary from two to more than a dozen, rates and cities differ, and the ranked order weighs portfolio quality and credibility. Treat this page as the entry point and narrow by city, service or industry from the cross-links below.