Public Sector × Enterprises
Best Public Sector AI Agencies for Enterprises (November 2026)
Public Sector AI agencies with verified enterprise client evidence — ranked by depth of documented work, then editorial quality.
Each listed agency evidences at least 2 documented enterprise clients. Combined, the agencies below document 235 client engagements.
Ranked agencies for enterprise clients
Rankings updated · Newest review
Top 30 of 46 agencies with documented enterprise 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.
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.
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.
Adastra
#6Frankfurt, 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.
Babel
#8Madrid, 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.
TUATARA
#9Warsaw, 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.
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.
Transparity
#12London, 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.
KVL
#13Rotterdam, Netherlands
Client evidence: 7 documented clients overall
Best for: Dutch insurers, pension providers and care organizations building a Microsoft data platform and an in-house data team.
Version 1
#14Dublin, 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
#15Barcelona, 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.
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.
MS iHub
#17Ljubljana, Slovenia
Client evidence: 6 documented clients overall
Best for: Manufacturers and online retailers commissioning a first scoped AI feature or MVP from a small Ljubljana team.
Nexid
#18Milan, Italy
Client evidence: 6 documented clients overall
Best for: Italian enterprises and institutions that want AI scoped inside a wider process, governance or platform engagement.
Netcompany
#19Copenhagen, 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.
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.
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
#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.
Kainos
#24Belfast, 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
#25Zurich, 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
#26Gdańsk, 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
#27London, 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
#29Dublin, 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.
2021.AI
#30Copenhagen, 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.
About this list
Public institutions buying at enterprise scale need two things at once—delivery capability and a supplier who has survived public procurement—and the agencies here document both. ML6's work for the National Cyber Security Centre publishes 85% lower implementation cost, 3x faster vulnerability handling and 70% faster response. Faculty designed the NHS AI Lab, including the validation process that decides whether a clinical model is allowed to matter. Amsterdam Data Collective built datasets for model monitoring and credit-risk redevelopment at the European Central Bank. DataNorth identified 55 actionable use cases for Omrin's waste operations, Lautmaler ships conversational systems into institutional contexts, Adnovum runs voicebots for two Swiss cantonal bodies, AI Sisters works enterprise transformation, and ELCA has served Swiss public administration since 1968.
The question that separates these firms is not capability but paperwork. Ask how each engagement arrived—open tender, framework, direct award, research grant—and what documentation it left behind. A supplier who has cleared your procurement regime once is materially cheaper to work with the second time, and the artifacts they produced then are the fastest way to judge what they will produce for you.
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
46 agencies in our directory combine verified enterprise client evidence with documented Public Sector work. The current top-ranked are Storm Technology, Merantix Momentum, AI Sisters — 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 enterprise 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.
5 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.