Public Sector × Public Sector
Best Public Sector AI Agencies for Public Sector (November 2026)
Public Sector AI agencies with verified public-sector client evidence — ranked by depth of documented work, then editorial quality.
Each listed agency evidences at least 2 documented public-sector clients. Combined, the agencies below document 183 client engagements.
Ranked agencies for public-sector clients
Rankings updated · Newest review
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.
ontolux
#3Berlin, 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.
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.
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.
Babel
#6Madrid, 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.
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.
London, 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.
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.
Rome, Italy
Client evidence: 6 documented clients overall
Best for: Public bodies that need an independent expert to specify, procure and supervise an AI program, not to build it.
Mercury Labs
#11London, United Kingdom
Client evidence: 6 documented clients overall
Best for: UK public bodies and publicly funded research programs building AI tools that keep expert reviewers in charge.
Netcompany
#12Copenhagen, Denmark
Client evidence: 5 documented clients overall
Best for: Governments and national-scale operators buying a system that has to run for years, not a model handed over at the end of a project.
Solita
#13Helsinki, 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.
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.
Nebuli
#17London, 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.
Ergo
#18Dublin, 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.
Clockworks
#19Rotterdam, 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.
Copenhagen, Denmark
Client evidence: 4 documented clients overall
Best for: Large public-sector and regulated organizations that want AI work grounded in named policy and delivery consultants.
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.
Dublin, Ireland
Client evidence: 4 documented clients overall
Best for: Consumer-facing telecom and utility operators, and Irish public bodies, that need models tested and evidenced rather than built.
Civitta
#23Vilnius, Lithuania
Client evidence: 3 documented clients overall
Best for: Public agencies and donor-funded programs that need an AI system designed, procured and delivered inside EU rules.
Berlin, Germany
Client evidence: 3 documented clients overall
Best for: Research institutes and public bodies with a hard technical problem and a named specialist to answer for it.
Babelscape
#25Rome, Italy
Client evidence: 3 documented clients overall
Best for: Publishers, IP offices and research institutions that need multilingual text analytics from a team that publishes its research.
Berlin, Germany
Client evidence: 3 documented clients overall
Best for: Public bodies and institutions that need an AI system they can operate, inspect and publish afterwards.
Codec
#27Dublin, Ireland
Client evidence: 2 documented clients overall
Best for: Irish public bodies and regulated organizations buying case management or a data platform from a long-established Microsoft partner.
Lausanne, Switzerland
Client evidence: 2 documented clients overall
Best for: Swiss institutions adding AI inside a larger systems program run by a long-established integrator.
About this list
Public bodies buy AI under conditions that show up in the work: the data often cannot leave the building, the system outlives the contract that built it, and someone has to explain a decision months later to a person who was not in the room. The strongest evidence on this page reflects that. Dr. Mark Wernsdorfer's AMPEL clinical decision support system runs across more than 1,500 beds at University Hospital Leipzig. Solita's adverse-drug-reaction application is in production at the Finnish Medicines Agency with regulator staff quoted by name, and Civitta runs an assistant on Georgia's national learning platform for GITA alongside a snow-coverage model feeding Estonia's environmental databases. Clockworks mapped hundreds of thousands of valve connections for the Dutch water utility Brabant Water. Birds on Mars built Berlin's tree-irrigation forecasting with the city's CityLAB and released the stack as open source. Babelscape's EUIPO tool interprets trademark denominations across the European Union's official languages, and Fast Data Science trained an email classifier for the Information Commissioner's Office inside an isolated environment on data that could not be retained.
Two details separate suppliers who have done this from suppliers who describe it. Where the inference happens is a governance decision here rather than an engineering one—several of the systems above run in-browser, on-premises or on hardware the institution owns, and that constraint is usually settled before a model is chosen. Then there is the handover: ask what the institution owns at the end, what it can operate without the supplier, and who answers a records request about the system three years from now. Delivery on this page ranges from one-person consultancies to program-scale integrators, so match the shape of the supplier to the shape of the obligation.
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
28 agencies in our directory combine verified public-sector client evidence with documented Public Sector work. The current top-ranked are Storm Technology, Merantix Momentum, ontolux — 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 €45–260 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 public-sector 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.