AI Development × B2B Companies
AI Development Agencies for B2B Clients (November 2026)
AI Development agencies with verified B2B client evidence — ranked by depth of documented work, then editorial quality.
Each listed agency evidences at least 2 documented B2B clients. Combined, the agencies below document 354 client engagements.
Ranked AI Development agencies for B2B clients
Rankings updated · Newest review
Top 30 of 146 agencies with documented B2B work.
London, United Kingdom
Client evidence: 29 documented clients overall
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
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.
Dublin, Ireland
Client evidence: 20 documented clients overall
Best for: Irish organizations already running Dynamics 365 or Power Platform that want Copilot and Azure AI advice from a Microsoft partner.
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
#5Paris, 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.
Paris, France
Client evidence: 15 documented clients overall
Best for: Large French employers that want their own people building agents rather than a vendor owning them.
Lexunit
#7Budapest, Hungary
Client evidence: 13 documented clients overall
Best for: Industrial and legal-publishing operators buying a machine-vision or document-automation system to run on their own premises.
ontolux
#8Berlin, Germany
Client evidence: 13 documented clients overall
Best for: German public bodies, broadcasters and publishers that need tagging and search over large German-language text collections.
London, United Kingdom
Client evidence: 13 documented clients overall
Best for: Founders commissioning a first blockchain or AI product build on a startup budget who will check references before signing.
Modulai
#10Stockholm, 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.
DataNorth AI
#11Groningen, Netherlands
Client evidence: 12 documented clients overall
Best for: Northern Dutch organizations that need a build and the team trained to run it afterwards.
Madrid, Spain
Client evidence: 11 documented clients overall
Best for: Consumer-facing brands and large operators in Spain evolving a digital product over years, with AI added into an existing workflow.
Stepwise
#13Warsaw, Poland
Client evidence: 11 documented clients overall
Best for: Early-stage B2B software companies that need a cloud and data engineering team, with AI as one part of the product build.
Adastra
#14Frankfurt, 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.
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.
DareData
#16Lisbon, Portugal
Client evidence: 10 documented clients overall
Best for: Enterprises automating a high-volume back-office or support workflow, with the NOS and Heineken deployments as the reference pattern.
Dashbouquet
#17Tallinn, Estonia
Client evidence: 10 documented clients overall
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.
Vention
#18London, United Kingdom
Client evidence: 10 documented clients overall
Best for: Venture-backed product companies adding engineers to an existing team, with AI as one feature inside the software work.
DATAFOREST
#19Tallinn, Estonia
Client evidence: 9 documented clients overall
Best for: Operators with data spread across many systems who want the pipeline and the model built and run by one team.
b.telligent
#20Munich, Germany
Client evidence: 9 documented clients overall
Best for: Enterprises adding an AI layer onto a data platform their own team will run afterward, in manufacturing, insurance or media.
Babel
#21Madrid, 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.
Datatonic
#22London, 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
#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.
Kortical
#25London, 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.
Hiflylabs
#26Budapest, Hungary
Client evidence: 8 documented clients overall
Best for: Banks, energy and manufacturing groups pairing an LLM or forecasting build with the data-platform work underneath it.
Lautmaler
#27Berlin, 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
#28London, 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
#29Poznań, 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.
Shift Agency
#30Frankfurt, Germany
Client evidence: 8 documented clients overall
Best for: Enterprise brands and institutions rebuilding a website, newsroom or brand platform, with AI applied to marketing and visibility.
About this list
Every agency on this page builds custom AI systems on top of verified B2B evidence, making this the broadest development page in the B2B segment—and the one where the evidence lines on each card work hardest. The exemplars set the bar. dida's Deutsche Bahn anomaly detection names its techniques: MonoViT fine-tuning, SAM, self-supervised learning on unannotated data. ML6's Scout24 build documents an evaluation framework with human testing and LLM-as-a-judge against an 85% quality bar. Brainpool's HSBC market-abuse surveillance shipped into one of Europe's most scrutinized environments, and Fuzzy Labs takes models into open-source MLOps infrastructure the client runs alone—including edge deployments.
B2B development lives inside operational stacks, so the questions that sort this roster are integration questions: which system of record did the documented work land in, whose infrastructure does it run on, and what could the client's team maintain unaided after handover. Ask for the named comparable system—on this page, unusually, most candidates have one to name. Where they hesitate, the documented-client counts show which firms have the body of work their positioning claims.
Intro by Gabor Kiss, curator · How we rank
Expert Insight
Why B2B fit matters for AI Development
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
146 agencies in our directory combine verified B2B client evidence with documented AI Development work. The current top-ranked are Old St Labs, Square Root Solutions, Storm Technology — 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 €20–260 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 B2B 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.
29 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.