Generative AI × Project-Based Work
Generative AI Agencies for Project-Based Clients (September 2026)
Generative AI agencies with verified project-based client evidence — ranked by depth of documented work, then editorial quality.
Each listed agency documents project-based engagements on its own site or in a published case study; the model is never inferred from a service list.
Ranked Generative AI agencies for project-based clients
Rankings updated · Newest review
Top 30 of 40 agencies with documented project-based work.
Dublin, Ireland
Client evidence: 20 documented clients overall
Best for: Irish and European SMEs and founders buying a whole product build, with AI as one layer inside it rather than the whole engagement.
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
#4Paris, 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
#5Berlin, 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.
London, United Kingdom
Client evidence: 13 documented clients overall
Best for: Founders commissioning a first blockchain or AI product build on a startup budget who will check references before signing.
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.
London, United Kingdom
Client evidence: 8 documented clients overall
Best for: Enterprises standardizing ML delivery on Google Cloud or AWS, especially where a regulator has to be satisfied.
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.
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.
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.
QED Software
#13Warsaw, Poland
Client evidence: 7 documented clients overall
Best for: Data-rich firms and startups with a detection, vision or forecasting problem suited to a research-led team.
Bismart
#14Barcelona, 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.
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.
Unit8
#16Lausanne, Switzerland
Client evidence: 5 documented clients overall
Best for: Industrial and financial enterprises building on Palantir Foundry, or weighing whether they should.
Visium
#17Zurich, 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.
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.
craftworks
#19Vienna, Austria
Client evidence: 5 documented clients overall
Best for: Industrial operators who need a vision or maintenance system running on their own lines and, where required, on their own infrastructure.
10Clouds
#20Warsaw, Poland
Client evidence: 5 documented clients overall
Best for: Banks, insurers and credit funds automating a defined back-office or sales workflow on a platform already run in production.
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.
Valletta, Malta
Client evidence: 5 documented clients overall
Best for: Small firms and startups that want one embedded engineer to wire an LLM or agent into their existing tools on a modest budget.
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.
Imobisoft
#26London, United Kingdom
Client evidence: 4 documented clients overall
Best for: Health and industrial companies taking a risk-scoring or compliance-reporting workflow from paper to a regulated digital platform.
Contiamo
#27Berlin, Germany
Client evidence: 4 documented clients overall
Best for: German municipal utilities, housing companies and consumer brands adding GPT-based assistants to customer service and content work.
Kruso
#28Copenhagen, Denmark
Client evidence: 4 documented clients overall
Best for: Consumer brands and public bodies adding AI search or an assistant to a commerce or content platform the same firm builds and operates.
Ekimetrics
#29London, United Kingdom
Client evidence: 4 documented clients overall
Best for: Consumer and industrial brands that need marketing spend measured and modeled rather than an AI system built.
Faculty
#30London, United Kingdom
Client evidence: 3 documented clients overall
Best for: Enterprises and public bodies that need AI deployed under regulatory or safety scrutiny.
About this list
Generative-AI projects here are mostly retrieval and drafting systems with a person in the loop, and the generative record on several of these sites is shorter than the classical one. Merantix Momentum's rolled-out generative systems are Cornelsen's Material Designer, launched 2024 and in daily use by teachers, and Hamburg's LLMoin assistant; its Federal Chancellery work ended as a proof of concept handed over for integration. Datatonic's AstraZeneca RAG pipeline ingested 20,000-plus documents and its Alpian banking agent runs customer-facing under FINMA supervision, each quantified as engineering rather than outcome. Kortical's chatbot for The Edit LDN reports 80% of queries handled automatically and an 88% cut in support costs. Babel's WiZink platform reviews every customer interaction in Spain and Portugal, cutting a campaign review from days to hours. Instituto de Ingeniería del Conocimiento's strongest generative figures name no client, and Mercury Labs' IfATE tools keep judgment with the reviewer but publish no metric.
The sorting question for a generative-AI project is how the output was evaluated before go-live and who checks it after. Merantix Momentum's caralegal contract reviewer is quoted at 60-plus percent agreement with experienced lawyers, the figure to ask for, along with the evaluation set and review queue. Ask what the project left behind for re-evaluation when the model or documents change; where the work is a proof of concept, ask who integrated it and whether it is in use. Prefer figures with a named client attached and treat an anonymous percentage as a claim to verify.
Intro by Gabor Kiss, curator · How we rank
Expert Insight
Why project-based fit matters for Generative AI
A fixed scope protects both sides only when the acceptance criteria are written: ask for them before the rate, because a project without them becomes a retainer nobody agreed to.
The handover decides whether the project was an asset or a dependency: pipelines, evaluation sets and retraining procedures belong in the deliverables list.
The pilot-to-production gap is the main risk of project work in AI: the case studies here that describe operations and measured results are the ones that show an agency has crossed it.
Frequently asked questions
40 agencies in our directory combine verified project-based client evidence with documented Generative AI work. The current top-ranked are Square Root Solutions, Storm Technology, Merantix Momentum — 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 €20–130 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.
Every agency here documents project-based work on its own site or in a published case study, describing the engagement structure rather than a service-list claim. We never infer the model from portfolio tone, so this list only contains agencies that operate project-based engagements deliberately.
9 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.