SaaS & B2B × Public Sector
Best SaaS & B2B AI Agencies for Public Sector (October 2026)
SaaS & B2B 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 86 client engagements.
Ranked agencies for public-sector clients
Rankings updated · Newest review
Preste
#1Paris, 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
#2Berlin, 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.
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.
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.
Kainos
#7Belfast, 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.
App4You
#8Gdańsk, 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
#9London, 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.
Civitta
#10Vilnius, 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.
Babelscape
#11Rome, 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.
About this list
Software products bought by public institutions carry a constraint ordinary SaaS does not: the buyer usually needs to know where the model runs and what happens to the data. The work documented here reflects that. Babelscape's TraDeInterpret is a SaaS multilingual analyzer built for EUIPO, the EU's intellectual property office, working across 23 official languages on the firm's own knowledge graph. Hybrid Heroes builds consumer-grade software for institutions—the rbb24 app for the Berlin-Brandenburg public broadcaster, rated 4.6 across more than 10,000 reviews, and an e-mental-health platform with Freie Universität Berlin and the Swiss Red Cross. DataNorth AI works the Dutch public sector through both delivery and enablement, mapping 55 actionable use cases across Omrin's waste-management operations and running AI skills programs for Divosa, the association of municipal social-services directors.
Two things make this a distinct purchase. Public bodies buy capability as much as software, so an engagement that leaves nobody internally able to run the thing has failed on a criterion the contract may never have named. And procurement timelines outlast model generations, so ask what happens when the underlying model is deprecated mid-contract and who pays for the migration. Several firms here publish rates, and the spread between them is wide enough that the published figures are worth using as the opening benchmark rather than the answer.
Intro by Gabor Kiss, curator · How we rank
Expert Insight
Why SaaS & B2B experience matters
Evaluation infrastructure—The difference between a demo and a durable feature is an eval suite: test sets, regression checks on prompt changes, quality metrics tied to user outcomes. Specialists build it alongside the feature; without it, every model update is a gamble shipped straight to production
Unit-economics engineering—Per-request model costs decide whether your feature has a margin. Specialists design cost ceilings in from the start—model routing, caching, context trimming—instead of discovering at scale that the assistant costs more than the seat
Handover quality—Your engineers inherit this code. Specialists deliver documented pipelines, reproducible evals, and infrastructure your team can run; agency-shaped black boxes turn into unmaintainable dependencies the day the contract ends
Product-not-project thinking—AI features need iteration loops after launch: feedback capture, failure review, prompt and model updates. Specialists set up that loop and a sane retainer for it; project shops ship the feature and leave you with version one forever
Frequently asked questions
11 agencies in our directory combine verified public-sector client evidence with documented SaaS & B2B work. The current top-ranked are Preste, ontolux, 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 €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.