Manufacturing × B2B Companies
Best Manufacturing AI Agencies for B2B Companies (November 2026)
Manufacturing 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 282 client engagements.
Ranked agencies for B2B clients
Rankings updated · Newest review
Top 30 of 79 agencies with documented B2B work.
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
#3Paris, 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.
allUpp
#4Vienna, Austria
Client evidence: 16 documented clients overall
Best for: Companies already on Salesforce that want Agentforce agents added to service or sales workflows at a fixed package price.
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.
Lexunit
#6Budapest, Hungary
Client evidence: 13 documented clients overall
Best for: Industrial and legal-publishing operators buying a machine-vision or document-automation system to run on their own premises.
Modulai
#7Stockholm, 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.
Groningen, Netherlands
Client evidence: 12 documented clients overall
Best for: Northern Dutch organizations that need a build and the team trained to run it afterwards.
Stepwise
#9Warsaw, Poland
Client evidence: 11 documented clients overall
Best for: Early-stage B2B software companies that need a cloud and data engineering team, with AI as one part of the product build.
Adastra
#10Frankfurt, Germany
Client evidence: 10 documented clients overall
Best for: Banks, insurers and manufacturers that need AI put under approval paths, audit trails and cost limits before it scales.
DareData
#11Lisbon, Portugal
Client evidence: 10 documented clients overall
Best for: Enterprises automating a high-volume back-office or support workflow, with the NOS and Heineken deployments as the reference pattern.
b.telligent
#12Munich, 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.
Zühlke
#13Zurich, Switzerland
Client evidence: 8 documented clients overall
Best for: Regulated enterprises buying AI inside a system an engineering firm will also build, run and document.
Kortical
#14London, 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.
Hiflylabs
#15Budapest, Hungary
Client evidence: 8 documented clients overall
Best for: Banks, energy and manufacturing groups pairing an LLM or forecasting build with the data-platform work underneath it.
Merixstudio
#16Poznań, 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.
Shift Agency
#17Frankfurt, Germany
Client evidence: 8 documented clients overall
Best for: Enterprise brands and institutions rebuilding a website, newsroom or brand platform, with AI applied to marketing and visibility.
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.
Nimo AI
#19Stockholm, Sweden
Client evidence: 7 documented clients overall
Best for: Swedish small and mid-sized businesses automating one back-office process, such as document filing, order intake or HR reporting.
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.
Vstorm
#21Wrocław, Poland
Client evidence: 6 documented clients overall
Best for: Mid-market operators putting an agent inside a product or a clinical workflow, where output has to be validated before it ships.
elunic
#22Munich, 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.
Datasparq
#23London, 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.
Marionete
#24London, United Kingdom
Client evidence: 6 documented clients overall
Best for: Banks and insurers that need the data and MLOps platform under their AI built to regulated-industry standards.
Frankfurt, Germany
Client evidence: 6 documented clients overall
Best for: German wholesalers, manufacturers and online retailers modernizing ordering, ERP and shop systems.
MS iHub
#26Ljubljana, 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
#27Milan, 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
#28London, 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.
Unit8
#29Lausanne, Switzerland
Client evidence: 5 documented clients overall
Best for: Industrial and financial enterprises building on Palantir Foundry, or weighing whether they should.
Artefact
#30Paris, 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.
About this list
Manufacturing is among the largest industry pages in the B2B register, because industrial operations are where European B2B AI actually deploys. The documented work spans the full stack. On the line: ML6's lab-inspection vision for Syngenta doubled analysis speed across half a million wells a year; appleute's road-damage detection for May runs at 95% accuracy with a published 30% maintenance-cost cut; dida's Deutsche Bahn anomaly detection names its self-supervised techniques. Above it: appliedAI's Reinhausen case documents architecture and outcome together, DataNorth applied AI across a food manufacturer's operations, AI Sisters has worked with the aerospace supplier Daher, and Motius, Xomnia, DEUS and DAIN Studios work the engineering and data layers.
Sort this roster with one distinction: sensor-level systems and group-level data programs are different purchases with different buyers and failure modes. Ask each candidate whether their documented industrial work ran on equipment data or enterprise data—and if your problem is on the line, weight the firms whose case studies mention cameras, sensors and edge constraints, because that half of the market is smaller than its marketing suggests.
Intro by Gabor Kiss, curator · How we rank
Expert Insight
Why Manufacturing experience matters
OT/IT gap navigation—Shop-floor data lives in historians, PLCs, and vendor-locked protocols the IT department doesn't own. Specialists have crossed that boundary before—they budget for data extraction as a first-class workstream instead of assuming a clean API exists
Feasibility honesty—Most predictive-maintenance failures trace to unlabeled or unrecorded failure history. Specialists run a data audit before quoting a model and will kill a use case cheaply; vendors who skip that step deliver demos calibrated on data you don't have
Operator acceptance—A quality-inspection or alerting system the line crew distrusts gets silenced within weeks. Specialists design alert thresholds, override paths, and feedback loops with the people running the machines, not just the plant manager who signed the purchase order
Drift management—Tool wear, material batches, and product changeovers shift the data underneath a deployed model. Specialists ship monitoring and retraining plans as part of delivery, because an inspection model frozen at handover degrades on a schedule you won't see coming
Frequently asked questions
79 agencies in our directory combine verified B2B client evidence with documented Manufacturing work. The current top-ranked are Storm Technology, Merantix Momentum, Preste — 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 €20–175 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.
18 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.