AI/ML × Enterprise
Best AI/ML UX Agencies for Enterprise (2026)
AI/ML UX agencies with verified enterprise client evidence, ranked by portfolio quality and credibility.
Each listed agency evidences at least 2 documented enterprise clients. Combined, the agencies below document 452 client engagements.
Ranked agencies for enterprise clients
Top 30 of 36 agencies with documented enterprise work.
UX&I GmbH
Verified#1Berlin
Best for: German-speaking enterprises building lasting in-house UX capability—METRO, DATEV, Sartorius—coached until teams run it themselves.
AREA 17
#2Paris
Best for: Enterprises and cultural institutions needing integrated brand, experience and technology transformation—OpenAI, Saint Laurent.
IDEO
#3London
Best for: Global enterprises and category leaders launching a new brand, venture or product who need one partner from strategy to launch.
Bonanza Studios
#4Berlin
Best for: Startups and scale-ups needing a senior team to ship a live product in 90 days—or an enterprise unit validating a new digital venture.
Supercharge
#5Budapest
Best for: Enterprises in regulated, complex sectors—energy, insurance, banking, pharma—building or modernizing customer-facing platforms.
Antrop
#6Stockholm
Best for: Established Swedish enterprises and public agencies modernizing digital services, design systems or customer-driven ways of working.
Etnetera Flow
#7Prague
Best for: Enterprise automotive, banking and betting brands needing a mobile-first partner to rebuild or scale a high-traffic consumer app.
SOHO Creative Group
Verified#8Berlin
Best for: B2B tech, deep-tech and investment firms needing a strategy-led website redesign that turns a complex offering into a clear narrative.
14islands
#9Stockholm
Best for: Funded scale-ups and premium brands launching a product, brand or campaign that needs a visually standout, award-winning web experience.
Humbleteam
#10Prague
Best for: Fintech and consumer startups needing branding plus product design shipped on sprint timelines, from MVP to funded scale-up.
Signifly
#11Copenhagen
Best for: Consumer, retail and e-commerce brands—and Danish public institutions—wanting brand, product and shop from one partner.
Innovagency
Verified#12Lisbon
Best for: Retail, telecom and banking teams wanting one partner for strategy, UX design and engineering—Continente, Vodafone, Novo Banco.
Fabrique
#13Amsterdam
Best for: Cultural, public-transit and retail organizations—like Rijksmuseum, NS and HEMA—wanting research-led service design.
Sketchin
#14Milan
Best for: Enterprise and public-sector teams running multi-stakeholder service-design and design-system programs, such as INPS, Enel and Nexi.
Soda Studio
#15Amsterdam
Best for: Established enterprises and consumer brands—Maersk, Albert Heijn, Rabobank—that want a strategy-led product-design partner.
Computools
#16Warsaw
Best for: Enterprises needing full-stack software builds where UX/UI is one component of a larger engineering engagement.
Dept
#17Amsterdam
Best for: Enterprises needing one scale marketing-and-technology partner for commerce, data and brand across markets, not a boutique UX studio.
Ruby Studio
#18Copenhagen
Best for: Research consortia, climate NGOs and design-led brands like BIG needing a small, long-term partner for custom editorial and campaign sites.
Silberpuls
Verified#19Berlin
Best for: Consumer and e-commerce brands scaling web and app experiences across markets—Deichmann, SIXT and ESN.
think moto
Verified#20Berlin
Best for: German enterprises needing brand identity plus conversational AI—Continental, Bosch, lexoffice—from one Berlin studio.
Futurice
#21Helsinki
Best for: Enterprises needing strategy, design, build and AI under one roof—think BMW, KONE or Kesko—for large-scale digital transformation.
Reaktor
#22Helsinki
Best for: Enterprises scaling a customer-facing digital product who want design, engineering and data on one team—like Cathay Pacific or adidas.
Mira Commerce
#23Warsaw
Best for: Mid-market and enterprise retail brands re-platforming to BigCommerce who need engineering-led delivery with real UX.
10Clouds
#24Warsaw
Best for: Fintech and Web3 teams needing end-to-end product design and build, or scale-ups augmenting engineering and ML capacity.
Valtech Munich
#25Munich
Best for: Enterprise brands running multi-market commerce and experience platforms that need transformation at scale, not a boutique team.
Imaginary Cloud
#26Lisbon
Best for: Scale-ups and mid-market product teams needing engineering-led builds with UX/UI design folded in—not standalone design work.
Each&Other
#27Dublin
Best for: Enterprises and public-sector teams embedding a UX squad to transform complex, multi-stakeholder platforms in regulated sectors.
Attrecto
#28Budapest
Best for: Enterprises and mid-market firms commissioning custom software and AI-assistant builds delivered by an embedded dev team.
Ask Phill
#29Amsterdam
Best for: Consumer brands migrating to Shopify Plus—especially multi-brand or multi-market retailers needing custom or headless builds.
BRIX
#30Barcelona
Best for: SaaS and AI companies—from early-stage startups to enterprises—needing conversion-focused Webflow sites and design systems.
About this list
Enterprise AI/ML design is two jobs at once: making model output trustworthy and governable inside a large organization — where a wrong answer carries real liability — and telling the story of a complex system to buyers, boards and regulators. UX&I documents enterprise product depth; AREA 17 evidences brand-experience-technology work for OpenAI and ElevenLabs; SOHO Creative Group documents strategy-led narrative that turns a deep-tech offering into a clear story.
The applied side is equally represented. Bonanza Studios documents validating new digital ventures for enterprise units; Supercharge evidences regulated modernization now folding in AI. Rates run €37–200 per hour, with a top tier for the transformation houses.
Separate the product problem from the narrative one before shortlisting. Designing the UX of model output — confidence, failure, correction, governance — is different work from designing the site that explains the model — read each profile's documented enterprise clients for AI genuinely shipped into products versus AI companies given a brand, and note the overlap with SaaS platform depth where the model lives inside a larger tool.
Expert Insight
Why AI/ML experience matters
Trust design—70% of users abandon AI features they don't understand. Specialists know how to build confidence through transparency, explainability, and calibrated expectations. They design onboarding that sets realistic expectations about accuracy, so users aren't shocked the first time the model is wrong. One poorly handled error can destroy months of trust-building
Error state mastery—AI is wrong sometimes, and that's normal. But designing for graceful failure—confidence scores, human override paths, 'why did the AI suggest this?' explanations—is a specialized skill. A generalist treats errors as edge cases; a specialist treats them as the primary design challenge, because how your product handles being wrong defines whether users trust it
Prompt and interaction design—Conversational AI, copilots, and agent interfaces require entirely different UX patterns than traditional software. There's no 'submit button' for a copilot. No 'search results page' for a generative AI. Specialists are inventing these patterns right now, drawing on research in human-AI collaboration that most designers haven't read
Ethical guardrails—Bias indicators, consent flows, data transparency, and 'why am I seeing this?' explanations aren't optional anymore. EU AI Act compliance is coming, and specialists design these guardrails as core product features, not last-minute additions. The cost of retrofitting ethical AI design after launch is 3–5x higher than building it in from the start
Frequently asked questions
36 agencies in our directory combine verified enterprise client evidence with documented AI/ML work. The current top-ranked are UX&I GmbH, AREA 17, IDEO — rankings follow our editorial scoring (portfolio quality, credibility, completeness), never paid placement.
Published rates across this page's agencies run €37–200 per hour (median ~€125). Project totals depend on scope — our cost calculator breaks estimates down by team size and engagement length.
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.
14 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.
Enterprise agencies in other industries
Other client segments for AI/ML
Page last updated July 9, 2026 from 36 agencies. Most recently reviewed: Ask Phill on July 8, 2026. How we rank