Public Sector × Berlin
Best AI Agencies for Public Sector in Berlin (November 2026)
Berlin 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 45 client engagements.
Ranked agencies for public-sector clients
Rankings updated · Newest review
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
#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.
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.
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.
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.
About this list
Berlin's public-sector bench is among the deepest in the register, which reflects both the capital's institutional density and how rarely public AI work gets published at all. The documented engagements are concrete. Birds on Mars built Quantified Trees with the Federal Environment Ministry and CityLAB—AI irrigation forecasting for Berlin's street trees, with two borough green-space offices in the loop—and ELIO, object digitalization for the Museum für Naturkunde. Dr. Mark Wernsdorfer's AMPEL system runs clinical decision support across more than 1,500 beds at University Hospital Leipzig, with disinformation-detection work for Media Lab Bayern behind it. Hybrid Heroes shipped the rbb24 app for the public broadcaster and an e-mental-health platform with Freie Universität Berlin. Merantix Momentum has run Hamburg's AI innovation process since 2022—more than 120 use cases evaluated, eight scaled, the LLMoin text assistant among them—and built a Federal Chancellery proof of concept on a locally hosted model, handed over for integration rather than operated. ontolux has clustered cyber-threat reports for the Federal Office for Information Security since 2021.
Public buyers reading this page should ask the procurement question first: how did each engagement arrive—tender, framework, research grant—and what documentation it produced for the record. An agency that has delivered for a German public body once is materially cheaper to work with the second time, and every agency on this page has.
Intro by Gabor Kiss, curator · How we rank
Expert Insight
Why public-sector fit matters
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
5 agencies in our directory combine verified public-sector client evidence with a Berlin base. The current top-ranked are Merantix Momentum, ontolux, Hybrid Heroes — 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 €85–130 per hour (median ~€108). 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.