AI Agents × Enterprises
AI Agents Agencies for Enterprise Clients (September 2026)
AI Agents 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 122 client engagements.
Ranked AI Agents agencies for enterprise clients
Rankings updated · Newest review
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.
Modulai
#2Stockholm, Sweden
Client evidence: 12 documented clients overall
Best for: Product teams that need a model shipped into production, from clinical retrieval to real-time vision on constrained hardware.
Poznań, Poland
Client evidence: 8 documented clients overall
Best for: Product owners modernizing a platform who want AI inside the delivery process and in selected features, not a model built from scratch.
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.
Satalia
#5London, United Kingdom
Client evidence: 6 documented clients overall
Best for: Enterprises with a scheduling, routing or workforce-allocation problem big enough to justify operations-research specialists.
elunic
#6Munich, Germany
Client evidence: 6 documented clients overall
Best for: Manufacturers automating one inspection station or technical-document search on an existing line, not buying an open-ended AI program.
London, United Kingdom
Client evidence: 6 documented clients overall
Best for: Operational businesses with data already flowing that want a system built on it rather than a strategy deck.
Stockholm, Sweden
Client evidence: 6 documented clients overall
Best for: Nordic retailers and service businesses that want customer operations run by agents and measured weekly.
Lyon, France
Client evidence: 6 documented clients overall
Best for: French mid-market firms adding a document-analysis or automation layer to a SaaS or internal platform they already operate.
Artefact
#10Paris, France
Client evidence: 5 documented clients overall
Best for: Large consumer and industrial groups that want AI agents adopted across a workforce, not piloted in one team.
ML6
#11Ghent, Belgium
Client evidence: 5 documented clients overall
Best for: Enterprises and public bodies putting AI into production systems that already carry real traffic.
10Clouds
#12Warsaw, 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.
App4You
#13Gdańsk, 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.
BySix
#14Lisbon, Portugal
Client evidence: 5 documented clients overall
Best for: Product and operations teams buying a first generative-AI agent wired into Jira, Slack, Shopify or an ATS at a fixed weekly price.
Converteo
#15Paris, France
Client evidence: 4 documented clients overall
Best for: Retail and consumer brands putting a customer-facing agent into production, with the evaluation and rollback to match.
Faculty
#16London, United Kingdom
Client evidence: 3 documented clients overall
Best for: Enterprises and public bodies that need AI deployed under regulatory or safety scrutiny.
Civitta
#17Vilnius, 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.
Flobotics
#18Warsaw, Poland
Client evidence: 3 documented clients overall
Best for: Operations teams that want automation bought against a payback number, especially in healthcare revenue cycle.
DEUS
#19Amsterdam, Netherlands
Client evidence: 3 documented clients overall
Best for: Enterprises putting voice or conversational AI in front of their own customers.
Tiksom
#20Manchester, United Kingdom
Client evidence: 3 documented clients overall
Best for: Startups needing an agent system designed rather than assembled, from a shop whose wider client list runs to UNICEF and Erasmus MC.
appliedAI
#21Munich, Germany
Client evidence: 2 documented clients overall
Best for: Industrial enterprises running an AI program that has to satisfy governance as well as engineering.
Neurons Lab
#22London, United Kingdom
Client evidence: 2 documented clients overall
Best for: Financial institutions that need agentic AI shipped inside regulatory constraints—training through production.
Dublin, Ireland
Client evidence: 2 documented clients overall
Best for: Enterprises standardizing on ServiceNow that want customer workflows implemented and the platform's AI features actually adopted.
About this list
Agent systems are the least mature category in enterprise AI and the one where published evidence matters most, because the gap between an agent demo and an agent a large organization will operate is enormous. The documented work here has crossed it. Artefact's Bpifrance deployment put agents in front of 500 employees at a public investment bank. Converteo's voice agent for Orange publishes architecture rationale, latency figures, adversarial testing and a production date. Datatonic's spending assistant for the Swiss bank Alpian is customer-facing under FINMA supervision, built on Google's Agent Development Kit with a Model Context Protocol server translating questions into SQL so the model never touches the database directly. Modulai's multi-agent retrieval system for Novo Nordisk pulls clinical-trial evidence in production, and AI Sisters ran an agent program inside ENGIE's global transformation.
Ask two questions of every candidate. What can the agent not do—the permission boundary is the design, and teams that have deployed at scale answer with specifics. And how is it evaluated in production—the answer should involve monitoring, escalation and human review, not confidence in the model. The evidence lines on each card show whose agent work is documented versus adjacent.
Intro by Gabor Kiss, curator · How we rank
Expert Insight
Why enterprise fit matters for AI Agents
Enterprise AI fails at the surroundings, not the model: procurement, security review, model documentation and adoption budgets decide outcomes, and an agency that has cleared them before will price and plan for them unprompted.
Reference checks work differently at this scale—an agency with two documented enterprise engagements can name a buyer who survived the same internal scrutiny yours will apply.
The pilot-to-production gap is widest here: ask for case studies that describe operations and handover, because a proof of concept that never shipped is the modal enterprise AI outcome.
Frequently asked questions
23 agencies in our directory combine verified enterprise client evidence with documented AI Agents work. The current top-ranked are AI Sisters, Modulai, Merixstudio — 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.
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.