Generative AI × B2B Companies
Generative AI Agencies for B2B Clients (September 2026)
Generative AI 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 231 client engagements.
Ranked Generative AI agencies for B2B clients
Rankings updated · Newest review
Top 30 of 49 agencies with documented B2B 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.
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.
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.
Groningen, Netherlands
Client evidence: 12 documented clients overall
Best for: Northern Dutch organizations that need a build and the team trained to run it afterwards.
Adastra
#5Frankfurt, 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.
DareData
#6Lisbon, 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.
Tallinn, 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.
TUATARA
#8Warsaw, Poland
Client evidence: 9 documented clients overall
Best for: Banks, insurers and telecoms in Poland or the Gulf that want a conversational assistant deployed inside existing customer channels.
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.
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.
Shift Agency
#12Frankfurt, 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.
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.
Vstorm
#14Wrocław, 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.
Version 1
#15Dublin, Ireland
Client evidence: 6 documented clients overall
Best for: Insurers, brokers and public bodies automating document-heavy back-office work with an ISO 42001-certified delivery partner.
Bismart
#16Barcelona, 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.
Yield Studio
#17Lyon, France
Client evidence: 6 documented clients overall
Best for: French mid-market firms adding a document-analysis or automation layer to a SaaS or internal platform they already operate.
DataSentics
#18Prague, 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
#19Lausanne, Switzerland
Client evidence: 5 documented clients overall
Best for: Industrial and financial enterprises building on Palantir Foundry, or weighing whether they should.
ML6
#20Ghent, Belgium
Client evidence: 5 documented clients overall
Best for: Enterprises and public bodies putting AI into production systems that already carry real traffic.
Visium
#21Zurich, 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.
Solita
#22Helsinki, 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.
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.
Tooploox
#24Wrocław, 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.
craftworks
#25Vienna, 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
#26Warsaw, 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.
Kainos
#27Belfast, United Kingdom
Client evidence: 5 documented clients overall
Best for: UK public bodies and regulated enterprises buying delivery at program scale, with AI as one workstream inside a larger build.
Adnovum
#28Zurich, Switzerland
Client evidence: 5 documented clients overall
Best for: Swiss institutions wanting a conversational AI system built into their own cloud and then operated for them.
Rotterdam, Netherlands
Client evidence: 5 documented clients overall
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.
Nebuli
#30London, 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.
About this list
Generative AI for business operations is a narrower discipline than the hype suggests: the output lands in a workflow with an owner, so accuracy, evaluation and escalation are the specification. Every agency here carries verified B2B evidence with generative delivery behind it. Faculty's AgentAssist and MemberSummarise run inside Tide's support operation on Amazon Bedrock, with a published 10% handle-time cut. Neurons Lab shipped Visa a twenty-language LLM content system in under two months. Lautmaler integrates LLMs into conversational systems with quality measurement described in the case, and DataNorth's programs pair generative tooling with the enablement that makes internal teams productive with it.
The B2B lens sharpens the buying questions. Where does generated output enter the workflow, and what checks it before it acts or ships? Which failure modes were designed for—hallucinated facts, stale knowledge, tone drift—and what does the human-review loop cost at volume? Teams that have operated generative systems answer from artifacts: evaluation suites, guardrail configs, escalation paths. This page lists the agencies whose published work shows those artifacts exist.
Intro by Gabor Kiss, curator · How we rank
Expert Insight
Why B2B fit matters for Generative AI
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
49 agencies in our directory combine verified B2B client evidence with documented Generative AI work. The current top-ranked are Square Root Solutions, Storm Technology, 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 €20–175 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.
2 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.