B2B Companies × London
Best AI Agencies for B2B Companies in London (November 2026)
London 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 152 client engagements.
Ranked agencies for B2B clients
Rankings updated · Newest review
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.
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.
Vention
#3London, 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.
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.
London, United Kingdom
Client evidence: 8 documented clients overall
Best for: Pharma, research and public-sector buyers with an NLP problem on unstructured documents that has to survive review.
Kortical
#6London, 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.
London, United Kingdom
Client evidence: 8 documented clients overall
Best for: UK enterprises, charities and public bodies already on Microsoft 365 and Azure that want Copilot adopted and governed.
Found
#8London, 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.
Satalia
#9London, 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
#10London, 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
#11London, 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.
Mercury Labs
#12London, 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.
Opinov8
#13London, 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.
Softblues
#14London, United Kingdom
Client evidence: 5 documented clients overall
Best for: Early-stage B2B product teams and smaller UK or Irish firms scoping a first voice agent, agent pipeline or Claude rollout.
Nebuli
#15London, 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.
Imobisoft
#16London, 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.
N-iX
#17London, United Kingdom
Client evidence: 4 documented clients overall
Best for: Enterprises with large in-house engineering teams that want AI adoption or ML work measured against an agreed baseline.
Ekimetrics
#18London, 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
#19London, United Kingdom
Client evidence: 3 documented clients overall
Best for: Enterprises and public bodies that need AI deployed under regulatory or safety scrutiny.
Brainpool
#20London, United Kingdom
Client evidence: 3 documented clients overall
Best for: Operators with a measurable production bottleneck AI can remove—from timber design queues to e-commerce pipelines.
Neurons Lab
#21London, United Kingdom
Client evidence: 2 documented clients overall
Best for: Financial institutions that need agentic AI shipped inside regulatory constraints—training through production.
About this list
London's B2B bench is the deepest in this register, and it publishes the kind of operational numbers that make a business case defensible. Faculty's generative support tooling inside Tide's live operation cut ticket-handling time by a published 10%, and its recommender sources 25% of Axiom Law's hires. Brainpool's case studies include market-abuse surveillance models for HSBC—delivery inside one of the most scrutinized operational environments in Europe—alongside a timber-design platform productized as Daisy AI. Neurons Lab builds AI for regulated financial services, with the Visa engagement publishing system, stack and timeline.
The depth runs past those. Satalia's routing and workforce systems have been running inside FTSE-scale clients for the better part of a decade, Datatonic's MLOps and retrieval work spans Vertex AI and Bedrock, Datasparq ships recommendation and revenue-management systems on Google Cloud, Kortical took a Deloitte tax computation from five hours to six minutes, and Fast Data Science works unstructured-document NLP for pharma and regulators.
The page also carries large engineering-capacity firms whose London presence is an office rather than the delivery team—N-iX, Vention and Opinov8 among them. Their published AI evidence varies more than their headcounts suggest: N-iX documents production models with the architecture laid out, while Vention's most detailed AI studies describe its own internal tools. Read their case studies, not their service pages.
The strongest London B2B work skews regulated: the operational systems land inside banks, law firms and financial institutions, where the integration and compliance surface carries as much budget as the model. If your operational system faces a supervisor, start with the firms that have shipped into one; if it does not, the Berlin and Manchester B2B rosters are worth comparing on rate.
Intro by Gabor Kiss, curator · How we rank
Expert Insight
Why B2B fit matters
B2B AI lives inside operational systems, so integration experience is delivery experience—an agency that has shipped into an ERP or a ticketing queue has already fought the battles your project will fight.
Operational outcomes are checkable in a way marketing outcomes are not: handle time, error rate and hours removed either moved or they did not, and the strongest agencies here publish those numbers.
The internal business case matters—an agency whose case studies quantify results gives your sponsor the numbers to defend the budget with.
Frequently asked questions
21 agencies in our directory combine verified B2B client evidence with a London base. The current top-ranked are Old St Labs, Pixelette Technologies, Vention — 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 €20–260 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.
10 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.