E-commerce × B2B Companies
Best E-commerce AI Agencies for B2B Companies (November 2026)
E-commerce AI agencies with verified B2B client evidence — ranked by depth of documented work, then editorial quality.
Each listed agency evidences at least 2 documented B2B clients. Combined, the agencies below document 272 client engagements.
Ranked agencies for B2B clients
Rankings updated · Newest review
Top 30 of 70 agencies with documented B2B work.
London, United Kingdom
Client evidence: 29 documented clients overall
Best for: Founders and small UK firms building a first web or mobile product with an LLM feature inside it.
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.
ontolux
#3Berlin, 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.
Modulai
#5Stockholm, 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.
OstraconAI
Verified: the agency confirmed ownership from a company email address, and the listing passed editorial review#6Helsinki, Finland
Client evidence: 11 documented clients overall
Best for: Nordic marketing and sales teams that want AI tools built into HubSpot, Teams or Microsoft 365 and their own staff trained to run them.
Madrid, Spain
Client evidence: 11 documented clients overall
Best for: Consumer-facing brands and large operators in Spain evolving a digital product over years, with AI added into an existing workflow.
Tallinn, Estonia
Client evidence: 10 documented clients overall
Best for: Seed-stage founders who want an LLM feature or a data-extraction pipeline built into a product by the same team that ships the app.
Vention
#9London, United Kingdom
Client evidence: 10 documented clients overall
Best for: Venture-backed product companies adding engineers to an existing team, with AI as one feature inside the software work.
DATAFOREST
#10Tallinn, Estonia
Client evidence: 9 documented clients overall
Best for: Operators with data spread across many systems who want the pipeline and the model built and run by one team.
b.telligent
#11Munich, Germany
Client evidence: 9 documented clients overall
Best for: Enterprises adding an AI layer onto a data platform their own team will run afterward, in manufacturing, insurance or media.
Redkiwi
#12Rotterdam, Netherlands
Client evidence: 9 documented clients overall
Best for: Dutch consumer brands and B2B suppliers buying a website, webshop or campaign where generative AI speeds up content production.
Datatonic
#13London, 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.
Found
#14London, United Kingdom
Client evidence: 8 documented clients overall
Best for: UK consumer brands in retail, insurance and hospitality that want AI applied inside paid search, SEO and campaign data.
Merixstudio
#15Poznań, 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.
Stockholm, Sweden
Client evidence: 8 documented clients overall
Best for: Swedish B2B software and service companies that want search, paid media and AI-assistant visibility run by one marketing agency.
Rotterdam, Netherlands
Client evidence: 8 documented clients overall
Best for: Mid-sized Dutch companies that want ERP, CRM and finance data in one managed Power BI environment before any AI build.
InData Labs
Verified: the agency confirmed ownership from a company email address, and the listing passed editorial review#18Vilnius, Lithuania
Client evidence: 7 documented clients overall
Best for: Product teams with a defined forecasting, fraud or analytics problem who want an established ML team on fixed-price or dedicated terms.
QED Software
#19Warsaw, 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.
Satalia
#20London, 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.
Datasparq
#21London, 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.
Algorithma
#22Stockholm, Sweden
Client evidence: 6 documented clients overall
Best for: Nordic retailers and service businesses that want customer operations run by agents and measured weekly.
Frankfurt, Germany
Client evidence: 6 documented clients overall
Best for: German wholesalers, manufacturers and online retailers modernizing ordering, ERP and shop systems.
MS iHub
#24Ljubljana, Slovenia
Client evidence: 6 documented clients overall
Best for: Manufacturers and online retailers commissioning a first scoped AI feature or MVP from a small Ljubljana team.
Syncronika
#25Milan, Italy
Client evidence: 6 documented clients overall
Best for: Italian brands that want one long-term partner for site, commerce, integrations and marketing, with AI added to that stack.
Opinov8
#26London, United Kingdom
Client evidence: 6 documented clients overall
Best for: Teams adding cloud, data or modernization engineers who want AI coding tools applied to that delivery.
DataSentics
#27Prague, Czech Republic
Client evidence: 5 documented clients overall
Best for: Large enterprises in finance, insurance, retail and e-commerce that need a production ML system built with a named internal data team.
Artefact
#28Paris, 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.
Halfspace
#29Copenhagen, Denmark
Client evidence: 5 documented clients overall
Best for: Nordic enterprises with an operating problem—capacity, pricing, safety—where a few percent of throughput is worth millions a year.
Upside Lab
#30Kraków, Poland
Client evidence: 5 documented clients overall
Best for: Teams that need governed, compliant data foundations before AI—healthcare research platforms or commerce running on real customer data.
About this list
Commerce B2B work—systems for retailers and the businesses serving them—is where AI meets numbers the client already watches daily, and the strongest agencies here document work against those numbers. Modulai's recommendations serve Lindex's millions of customers. WeAreBrain's HEINEKEN receipt validation processed 30,000-plus receipts across three campaigns at around 80% automatic recognition. Amsterdam Data Collective attacks markdown optimization directly, Artefact and Rewire bring retail programs with published figures, AI Pirates ran the AI roadmap for Fuxtec's e-commerce operation, and Brainpool, Algorithma and Ortom cover adjacent ground.
The baseline question does the sorting here: commerce AI is sold on uplift percentages, so ask what every number was measured against, over what period, and what happened in peak trading. Then ask about the data layer—recommendation and pricing systems are only as good as the product and transaction data underneath, and several agencies on this page build that layer as part of the engagement. The ones that do tend to be the ones whose case studies survive the baseline question.
Intro by Gabor Kiss, curator · How we rank
Expert Insight
Why E-commerce experience matters
Measurement discipline—E-commerce AI can and should be A/B tested against revenue. Specialists propose baselines, holdouts, and target metrics before writing code; be suspicious of anyone who wants credit for a lift they didn't isolate from seasonality and campaigns
Platform constraint fluency—A recommendation engine that can't be served within Shopify, commercetools, or your legacy stack's latency and API limits is a research project. Specialists design for the platform you run, not the one their demo runs on
Catalog-data pragmatism—Attribute gaps, inconsistent taxonomies, and thin product descriptions are the default, and they cap what personalization and search can do. Specialists budget the data-cleanup phase honestly and often automate it with generative models as part of the build
Seasonality and drift—Recommendation and forecasting models decay as catalogs, seasons, and campaigns change. Specialists set up monitoring and a retraining cadence at launch, because a model tuned on winter traffic quietly loses money by summer
Frequently asked questions
70 agencies in our directory combine verified B2B client evidence with documented E-commerce work. The current top-ranked are Old St Labs, Square Root Solutions, ontolux — 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 €20–300 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 B2B 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.
13 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.