Public Sector × B2B Companies
Best Public Sector AI Agencies for B2B Companies (September 2026)
Public Sector 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 185 client engagements.
Ranked agencies for B2B clients
Rankings updated · Newest review
Top 30 of 36 agencies with documented B2B work.
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.
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.
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
#4Frankfurt, 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.
TUATARA
#5Warsaw, 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: Pharma, research and public-sector buyers with an NLP problem on unstructured documents that has to survive review.
Berlin, 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.
Dublin, 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
#9Barcelona, 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.
ML6
#10Ghent, Belgium
Client evidence: 5 documented clients overall
Best for: Enterprises and public bodies putting AI into production systems that already carry real traffic.
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
#12Helsinki, 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.
Kainos
#14Belfast, 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
#15Zurich, 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.
App4You
#16Gdańsk, Poland
Client evidence: 5 documented clients overall
Best for: Polish public institutions and smaller operators that want a fixed-scope build with the price published before the first call.
coompanion
#17Munich, Germany
Client evidence: 5 documented clients overall
Best for: Mittelstand and startup operations teams automating a document or ticketing workflow on tools their own staff will keep running.
Nebuli
#18London, 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.
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.
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.
MindTitan
#22Tallinn, 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.
2021.AI
#23Copenhagen, Denmark
Client evidence: 4 documented clients overall
Best for: Enterprises and public institutions that want a named AI system built on a governance platform with a live production record.
Clockworks
#24Rotterdam, Netherlands
Client evidence: 4 documented clients overall
Best for: Utilities, regulators and logistics operators automating a manual visual inspection or counting task at network scale.
Belfast, United Kingdom
Client evidence: 4 documented clients overall
Best for: Public bodies and research organizations that need messy data unified and throughput measured before any model work starts.
Kruso
#26Copenhagen, Denmark
Client evidence: 4 documented clients overall
Best for: Consumer brands and public bodies adding AI search or an assistant to a commerce or content platform the same firm builds and operates.
TEKenable
#27Dublin, Ireland
Client evidence: 4 documented clients overall
Best for: Irish and UK organizations running on Microsoft platforms that want AI added to systems they already depend on.
7code
#28Cluj-Napoca, Romania
Client evidence: 4 documented clients overall
Best for: Founders who need a compliant retrieval-grounded product built and shipped in months, at a rate that leaves budget for the next iteration.
Faculty
#29London, United Kingdom
Client evidence: 3 documented clients overall
Best for: Enterprises and public bodies that need AI deployed under regulatory or safety scrutiny.
dida
#30Berlin, 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.
About this list
The agencies here carry both verified B2B evidence and documented public-sector delivery, which is the combination institutions usually want—a supplier who is commercially proven but has also worked inside public constraints. dida's anomaly detection for Deutsche Bahn's Digitale Schiene automated-driving program pairs a fine-tuned MonoViT depth model with segmentation, and it built convective-cloud detection for the Deutscher Wetterdienst. ML6 and Faculty bring the deepest published outcomes, at the National Cyber Security Centre and the NHS respectively. Amsterdam Data Collective works inside the European Central Bank, Adnovum runs cantonal voicebots, and Lautmaler, DataNorth, AI Sisters and ELCA extend the roster further across Europe.
Public-sector work rewards a different kind of due diligence than commercial work. The technical question is usually the easy one; the hard ones are where the data may sit, who holds the audit obligation, and what the supplier is contractually required to hand over at the end. Ask for a redacted deliverable from a prior public engagement. Firms that have done this before produce one; firms that have not will offer an architecture diagram instead.
Intro by Gabor Kiss, curator · How we rank
Expert Insight
Why Public Sector experience matters
Procurement fluency—Tender rules, framework agreements, and evaluation criteria shape what can be bought and how. Specialists write compliant bids and structure engagements to fit thresholds; agencies new to public buying lose months learning the process on your calendar
AI Act depth where it bites hardest—Many public-sector uses sit in the EU AI Act's high-risk tier, with risk-management, logging, human-oversight, and registration duties. Specialists deliver the documentation as a work product, not a promise
Explainability as an acceptance criterion—Automated decisions touching citizens must be explainable to the citizen, the caseworker, and eventually an auditor. Specialists design plain-language explanation into the system; retrofitting it after a complaint is the expensive version
Accountability-grade delivery—Public projects end up in audit reports. Specialists document decisions, data sources, and model changes to the standard an oversight body applies, and they design human handoff into every citizen-facing flow rather than treating it as a failure state
Frequently asked questions
36 agencies in our directory combine verified B2B client evidence with documented Public Sector work. The current top-ranked are Storm Technology, AI Sisters, DataNorth AI — 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.