AI Development × Public Sector
AI Development Agencies for Public-Sector Clients (November 2026)
AI Development 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 224 client engagements.
Ranked AI Development agencies for public-sector clients
Rankings updated · Newest review
Top 30 of 35 agencies with documented public-sector 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.
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
#3Paris, 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.
ontolux
#4Berlin, 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
#7Madrid, 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.
Zühlke
#9Zurich, 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
#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.
Transparity
#11London, 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.
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.
Version 1
#13Dublin, 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
#15London, 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
#16Copenhagen, 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.
Unit8
#17Lausanne, Switzerland
Client evidence: 5 documented clients overall
Best for: Industrial and financial enterprises building on Palantir Foundry, or weighing whether they should.
Visium
#18Zurich, 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
#19Helsinki, 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
#20Belfast, 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
#21Zurich, 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
#22Gdańsk, 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
#23London, 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
#24Dublin, 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.
Squirro
#25Zurich, 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.
Clockworks
#26Rotterdam, 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
#30Vilnius, 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.
About this list
Building AI systems for public institutions means engineering under obligations commercial work rarely carries: transparency, procurement compliance, accessibility and—for the high-risk categories where public AI concentrates—the EU AI Act's documentation and human-oversight duties. The strongest agencies here have shipped under those constraints. Netcompany's train-delay system for the Danish rail operator DSB runs a model per railway line and predicts arrival to within three minutes at 95 percent accuracy. Dr. Mark Wernsdorfer's AMPEL clinical decision support runs across more than 1,500 beds at University Hospital Leipzig, which is deployment scale most of this market only pitches. Kainos shipped a machine-learning risk-rating tool for DVSA that targets MOT testing fraud nationally, and Civitta's assistant on Georgia's national learning platform serves thousands of students behind a three-layer retrieval design that checks curated answers and curriculum material before the model. Birds on Mars delivered irrigation forecasting for Berlin's street trees with the Federal Environment Ministry and object digitalization for the Museum für Naturkunde. Hybrid Heroes ships public-facing products—the rbb24 app, an e-mental-health platform with Freie Universität Berlin—and DataNorth builds for Dutch municipal institutions.
Ask development candidates what the handover package contained: model documentation, evaluation records, operational runbooks. Public systems outlive their vendors' contracts, and a build the institution cannot operate, audit and defend after the agency leaves has failed its actual requirement—whatever the model's accuracy.
Intro by Gabor Kiss, curator · How we rank
Expert Insight
Why public-sector fit matters for AI Development
Public procurement is a skill separate from engineering—an agency that has already won and delivered under tender rules costs less in process friction than one learning them on your project.
Public deployments carry documentation and transparency obligations commercial work does not, and the agencies here have published work that survived them.
The EU AI Act lands hardest on public-sector use cases—partners with documented public systems are further along the compliance curve than the market average.
Frequently asked questions
35 agencies in our directory combine verified public-sector client evidence with documented AI Development work. The current top-ranked are Storm Technology, Merantix Momentum, Preste — 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 ~€86). 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.