AI Development × Team Extension
AI Development Agencies for Team extension Clients (September 2026)
AI Development agencies with verified team extension client evidence — ranked by depth of documented work, then editorial quality.
Each listed agency documents team extension engagements on its own site or in a published case study; the model is never inferred from a service list.
Ranked AI Development agencies for team extension clients
Rankings updated · Newest review
Top 30 of 32 agencies with documented team extension 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.
Lexunit
#3Budapest, 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.
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.
Stepwise
#5Warsaw, 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.
Vention
#6London, 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.
Budapest, 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.
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.
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.
Version 1
#10Dublin, Ireland
Client evidence: 6 documented clients overall
Best for: Insurers, brokers and public bodies automating document-heavy back-office work with an ISO 42001-certified delivery partner.
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.
Opinov8
#12London, 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.
Ghent, Belgium
Client evidence: 5 documented clients overall
Best for: Enterprises adding AI to a product or support workflow they already run, with the delivery team embedded alongside their own.
craftworks
#14Vienna, Austria
Client evidence: 5 documented clients overall
Best for: Industrial operators who need a vision or maintenance system running on their own lines and, where required, on their own infrastructure.
10Clouds
#15Warsaw, 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.
Valletta, Malta
Client evidence: 5 documented clients overall
Best for: Small firms and startups that want one embedded engineer to wire an LLM or agent into their existing tools on a modest budget.
Softblues
#17London, 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.
Brights
#18Warsaw, Poland
Client evidence: 5 documented clients overall
Best for: Product companies adding an AI assistant or agent feature to a web or mobile platform built with an outsourced team.
N-iX
#19London, 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.
Datamole
#20Prague, Czech Republic
Client evidence: 4 documented clients overall
Best for: Equipment manufacturers turning machine telemetry into a product feature their own service or R&D teams will keep running.
Sonalake
#21Dublin, Ireland
Client evidence: 4 documented clients overall
Best for: Telecom operators and data-heavy product companies adding forecasting or anomaly detection to a platform they already run.
peoly
#22Prague, Czech Republic
Client evidence: 4 documented clients overall
Best for: Manufacturers and platform teams buying camera-side vision, or an ML team embedded alongside engineers they already have.
Berlin, Germany
Client evidence: 3 documented clients overall
Best for: Institutions buying the data platform underneath analytics, where uptime and migration risk matter more than model accuracy.
Xomnia
#24Amsterdam, Netherlands
Client evidence: 3 documented clients overall
Best for: Dutch enterprises whose model problem turns out to be a data-platform problem.
DEUS
#25Amsterdam, Netherlands
Client evidence: 3 documented clients overall
Best for: Enterprises putting voice or conversational AI in front of their own customers.
Boldare
#26Amsterdam, Netherlands
Client evidence: 3 documented clients overall
Best for: Consumer-facing businesses adding an OpenAI-backed chatbot or generated content to a web platform Boldare builds or runs.
Berlin, Germany
Client evidence: 3 documented clients overall
Best for: Founders putting a model inside a consumer health, sports or wellbeing product.
Grepton
#28Budapest, Hungary
Client evidence: 3 documented clients overall
Best for: Hungarian companies on Microsoft Dynamics 365 or Azure that want AI added inside the ERP, CRM and data systems they already run.
WITH Madrid
#29Madrid, Spain
Client evidence: 3 documented clients overall
Best for: Consumer and luxury brands that want a conversion or asset-delivery problem solved and measured, not a model built.
Twistag
#30Lisbon, Portugal
Client evidence: 2 documented clients overall
Best for: Operators with a document or workflow bottleneck that needs an agent auditable enough for finance or compliance to delegate to.
About this list
The team-extension evidence here runs longest, and it splits by what the embedded team spent its years on. In The Pocket names and dates its AI: Penny drafts replies to Bancontact Company's 8,000 monthly support tickets with OpenAI models under human verification, reported 75% faster, and three protocol tools were handed into EORTC's environment. Datamole's platform collects from more than 30,000 Lely milking robots across 5 million daily sessions and feeds a per-cow treatment model, eight years in. craftworks describes its experts inside several voestalpine data teams since September 2020. Twistag's Aralab accounts-payable agent shipped in six weeks with one engineer and handles more than 2,000 invoices a month.
Others document long engagements where AI is a minor line. Vention's EliseAI team ran four years, its Kafene team grew from two to seven engineers after November 2022, and three engineers spent three years on Comet's platform, yet the AI in those studies is automated replies and coding assistants. N-iX has run Gogo's data team since January 2017; Ultra Tendency's HUK-COBURG telematics platform has run since 2016 and its ECB platform migrated ninety-six processes, with no model in any case study. LANARS has been Defigo's engineering partner since 2018, and on its AI flagship the model work sat with a partner.
The sorting question is allocation: of the years documented, how many were the model. Ask each candidate to name the engineers who trained or evaluated a model at a named client, and whether those people would be on your team.
Intro by Gabor Kiss, curator · How we rank
Expert Insight
Why team extension fit matters for AI Development
Embedded work is an operating model, not a service line: an agency that documents it has already solved allocation, seniority and continuity, the three things that break staff augmentation.
The chip's evidence bar is self-description or a documented case study, so every listing here chose this model deliberately rather than matching a query.
Extension trades scoping overhead for velocity: no re-briefing, no phase gates, and the engineer is in your standup by week two.
Nearshore studios on this page built their model on this engagement shape; compare their published rates with a fully loaded local hire before deciding.
Frequently asked questions
32 agencies in our directory combine verified team extension client evidence with documented AI Development work. The current top-ranked are Old St Labs, Square Root Solutions, Lexunit — 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.
Every agency here documents team extension work on its own site or in a published case study, describing the engagement structure rather than a service-list claim. We never infer the model from portfolio tone, so this list only contains agencies that operate team extension engagements deliberately.