Industry Specialty
Top FinTech AI Agencies in Europe
There are 157 FinTech-specialized AI agencies in Europe. The top-ranked for 2026 are Adastra, Satalia, and Datatonic. Listed rates in Europe run €65–110/hr across 145 rated agencies. Key hubs include Frankfurt, London, Prague.
100 of the 157 agencies listed have documented FinTech client work, verified against published case studies.
In banking and payments, a wrong model output isn't an inconvenience—it's a blocked account, a false fraud flag, or a regulatory finding. These agencies build fraud detection, credit scoring, and compliance automation with the audit trail supervisors expect, and they know the EU AI Act treats creditworthiness scoring as a high-risk use. Look for published work in AI Automation for KYC and reporting workflows and AI Consulting for model governance in supervised environments.
Intro by Gabor Kiss, curator · How we rank
Market snapshot
Pricing for FinTech AI agencies in Europe
Of the 157 fintech ai agencies on this page, 73 publish complete hourly rate ranges. Across them, rates span €20–€175, with a median around €65/hr. Across the register, rated agencies in Europe bill €65–110/hr (145 rated).
European AI agency hourly rates by country and region →
| Tier | Hourly rate | Agencies |
|---|---|---|
| Budget | €50–99/hr | 69 — Twistag, Siili Solutions, Solita, Plain Concepts, MindTitan, Deviniti, Software Mind, Civitta, +61 more |
| Mid-tier | €100–149/hr | 4 — 2021.AI, Brainpool, Supervoima, WIANCO OTT Robotics |
Team capacity in Europe
Of the 157 agencies on this page, 147 disclose team size. The distribution breaks down as:
- Boutique (<10)15 agencies — Kortical, Clearlead AI Consulting, HolistiCRM, 010 Coding Collective, Alpdev, Sputnik Digital, Marinuzzi & Associati, Mozza, +7 more
- Small/mid (10-49)39 agencies — Twistag, MindTitan, Brainpool, Dmlab, Geneea, Modulai, xtream, Syllotips, +31 more
- Mid studio (50-99)55 agencies — Satalia, Datatonic, DataSentics, Unit8, ML6, Visium, Rewire, element61, +47 more
- Large studio (100+)38 agencies — Adastra, Artefact, Siili Solutions, Solita, Plain Concepts, Ergo, In The Pocket, Zühlke, +30 more
What it costs
What FinTech AI Consulting Costs in Europe
Typical project costs for FinTech AI work (consulting, not development). The ranges below assume a senior, research-led team, against listed rates in Europe of €65–110/hr.
| Project | Typical cost | What's included |
|---|---|---|
| Compliance / KYC document-automation pilot | €15,000–€40,000 | Scoped workflow, extraction and validation pipeline, and accuracy benchmarking on your documents. |
| Fraud-detection production integration | €60,000–€150,000 | Model development, core-system integration, case-management workflow, and monitoring. |
| Credit-scoring model with AI Act documentation | €50,000–€120,000 | Model build, bias testing, human-oversight design, and the high-risk documentation set. |
| AI feasibility and governance assessment | €10,000–€30,000 | Use-case triage, data audit, regulatory mapping, and a build-or-buy recommendation. |
Ranked agencies
Rankings updated · Newest review

Adastra
#1Frankfurt, Germany
Best for: Banks, insurers and manufacturers that need AI put under approval paths, audit trails and cost limits before it scales.

Satalia
#2London, United Kingdom
Best for: Enterprises with a scheduling, routing or workforce-allocation problem big enough to justify operations-research specialists.

Datatonic
#3London, United Kingdom
Best for: Enterprises standardizing ML delivery on Google Cloud or AWS, especially where a regulator has to be satisfied.

DataSentics
#4Prague, Czech Republic
Best for: Large enterprises in finance, insurance, retail and e-commerce that need a production ML system built with a named internal data team.

Unit8
#5Lausanne, Switzerland
Best for: Industrial and financial enterprises building on Palantir Foundry, or weighing whether they should.

Artefact
#6Paris, France
Best for: Large consumer and industrial groups that want AI agents adopted across a workforce, not piloted in one team.

ML6
#7Ghent, Belgium
Best for: Enterprises and public bodies putting AI into production systems that already carry real traffic.

Faculty
#8London, United Kingdom
Best for: Enterprises and public bodies that need AI deployed under regulatory or safety scrutiny.

Twistag
#9Lisbon, Portugal
Best for: Operators with a document or workflow bottleneck that needs an agent auditable enough for finance or compliance to delegate to.

Visium
#10Zurich, Switzerland
Best for: Pharma and life-sciences teams that need the method described in full when the client name cannot be.

Siili Solutions
#11Helsinki, Finland
Best for: Regulated Finnish and Nordic enterprises that need an AI system governed, certified and operated, not just delivered.

Solita
#12Helsinki, Finland
Best for: Large organizations in regulated or industrial settings that need analytics and AI delivered with the data platform underneath it.

Plain Concepts
#13Madrid, Spain
Best for: Enterprises already committed to Azure that want an AI system delivered by a team with Microsoft-stack depth and named references.

Rewire
#14Amsterdam, Netherlands
Best for: Enterprises running an AI program who want their own team able to continue it afterwards.

Ergo
#15Dublin, Ireland
Best for: Irish public institutions and regulated financial firms adding AI to a Microsoft estate they already run.

element61
#16Ghent, Belgium
element61 is an analytics and AI consultancy with a Ghent office, working across data science, machine learning and performance management for enterprise clients, and part of Moore Belgium.

Ultra Tendency
#17Berlin, Germany
Best for: Institutions buying the data platform underneath analytics, where uptime and migration risk matter more than model accuracy.

In The Pocket
#18Ghent, Belgium
Best for: Enterprises adding AI to a product or support workflow they already run, with the delivery team embedded alongside their own.

Squirro
#19Zurich, Switzerland
Best for: Regulated enterprises buying a retrieval and knowledge platform with the delivery work attached, not a bespoke build.

Zühlke
#20Zurich, Switzerland
Best for: Regulated enterprises buying AI inside a system an engineering firm will also build, run and document.

Wavestone
#21Paris, France
Best for: Regulated organizations whose AI program has to satisfy a supervisor, an auditor or a board risk committee.

MindTitan
#22Tallinn, Estonia
Best for: Nordic and Baltic operators that want a measured ML system built end to end by the team that will hand it over.

Deviniti
#23Wrocław, Poland
Deviniti is a Wrocław IT and AI solutions provider building generative AI, custom software and Atlassian-based automation for enterprise clients.

Software Mind
#24Kraków, Poland
Software Mind is a Kraków-headquartered software company founded in 1999, offering generative AI development alongside cloud and modernization services. It builds its own agent-based tooling for large-scale migration work.

Civitta
#25Vilnius, Lithuania
Best for: Public agencies and donor-funded programs that need an AI system designed, procured and delivered inside EU rules.

Kortical
#26London, United Kingdom
Best for: Enterprises with a defined prediction or document-automation problem that want a model in production in weeks.

deepsense.ai
#27Warsaw, Poland
deepsense.ai is a Warsaw machine-learning consultancy building production AI, language-model, computer-vision and MLOps systems for enterprise clients.

DATAFOREST
#28Tallinn, Estonia
Best for: Operators with data spread across many systems who want the pipeline and the model built and run by one team.

2021.AI
#29Copenhagen, Denmark
Best for: Enterprises and public institutions that want a named AI system built on a governance platform with a live production record.

DareData
#30Lisbon, Portugal
Best for: Enterprises automating a high-volume back-office or support workflow, with the NOS and Heineken deployments as the reference pattern.

Brainpool
#31London, United Kingdom
Best for: Operators with a measurable production bottleneck AI can remove—from timber design queues to e-commerce pipelines.

Dmlab
#32Budapest, Hungary
Best for: Hungarian operators in energy, logistics or media that need a forecasting system wired into how the business already trades.

Datasparq
#33London, United Kingdom
Best for: Operational businesses with data already flowing that want a system built on it rather than a strategy deck.

AVISIA
#34Lyon, France
Best for: Large French consumer businesses industrializing scoring or support automation that already runs past the pilot stage.

Version 1
#35Dublin, Ireland
Best for: Insurers, brokers and public bodies automating document-heavy back-office work with an ISO 42001-certified delivery partner.
10Clouds
#36Warsaw, Poland
Best for: Banks, insurers and credit funds automating a defined back-office or sales workflow on a platform already run in production.

Hiflylabs
#37Budapest, Hungary
Best for: Banks, energy and manufacturing groups pairing an LLM or forecasting build with the data-platform work underneath it.

Geneea
#38Prague, Czech Republic
Best for: Media, banking and e-commerce platforms running high-volume, multi-market NLP on live customer content, not one-off pilots.

Elsewhen
#39London, United Kingdom
Elsewhen is a London product consultancy working with technology and financial-services companies, pairing product design and engineering with AI and cloud delivery.

Modulai
#40Stockholm, Sweden
Best for: Product teams that need a model shipped into production, from clinical retrieval to real-time vision on constrained hardware.

Neurons Lab
#41London, United Kingdom
Best for: Financial institutions that need agentic AI shipped inside regulatory constraints—training through production.

Amsterdam Data Collective
#42Amsterdam, Netherlands
Best for: Regulated institutions and retailers with a pricing, risk or monitoring problem that can be measured.

DEUS
#43Amsterdam, Netherlands
Best for: Enterprises putting voice or conversational AI in front of their own customers.

Clearlead AI Consulting
#44Dublin, Ireland
Best for: Teams that want the senior consultant doing the build, with the architecture and its limits written down before delivery.

Tensorway
#45Alicante, Spain
Tensorway is an Alicante AI development firm founded in 2019, building AI agents, machine-learning models and document-processing systems for legal, financial and software clients.

Intelygenz
#46Madrid, Spain
Intelygenz is a Madrid AI consultancy and part of the VASS group, building process automation, machine learning and computer-vision systems for banking and telecoms clients.

xtream
#47Milan, Italy
Best for: Utilities, lenders and scale-ups with a defined forecasting or planning problem and the data to feed it, handed over as a production model.
Talking to me
#48Stockholm, Sweden
Talking to me is a Stockholm generative AI consultancy building conversational assistants and voice systems on its own platform, with a second office in Malmo.
HolistiCRM
#49Budapest, Hungary
Best for: Banks, retailers and utilities that want a propensity or next-best-offer model on their own data, scored on a business rate.

010 Coding Collective
#50Rotterdam, Netherlands
Best for: Founders and small teams who need a working AI feature in production fast, with the compliance reasoning written down.

Syllotips
#51Rome, Italy
Best for: Mid-size telcos, insurers and banks whose support or sales floor leans on a few senior experts and runs a Microsoft-centered stack.

Adnovum
#52Zurich, Switzerland
Best for: Swiss institutions wanting a conversational AI system built into their own cloud and then operated for them.

Neuron Solutions
#53Budapest, Hungary
Best for: Industrial and pharmaceutical groups that want their own engineers taught to run AI projects before they buy a system.

STX Next
#54Poznań, Poland
Best for: Python-heavy teams that need senior engineers now, with AI built into how the work is delivered and reviewed.

Buildo
#55Milan, Italy
Best for: Scale-ups and regulated medtech firms that need an ML or LLM feature built into an existing product by a full-stack team.
Algorithma
#56Stockholm, Sweden
Best for: Nordic retailers and service businesses that want customer operations run by agents and measured weekly.

Algomine
#57Warsaw, Poland
Algomine is a Warsaw AI and data-science house building generative AI, predictive machine learning, data platforms and MLOps for enterprise clients.

Altar.io
#58Lisbon, Portugal
Best for: Funded founders building a regulated fintech or commerce product who want engineering that carries them to the next raise.

Ekimetrics
#59London, United Kingdom
Best for: Consumer and industrial brands that need marketing spend measured and modeled rather than an AI system built.

Konversational
#60Dublin, Ireland
Best for: Enterprises standardizing on ServiceNow that want customer workflows implemented and the platform's AI features actually adopted.

Bismart
#61Barcelona, Spain
Best for: Organizations whose AI plans depend on fixing the data layer first, especially in healthcare, public services and tourism.

TEKenable
#62Dublin, Ireland
Best for: Irish and UK organizations running on Microsoft platforms that want AI added to systems they already depend on.

Sonalake
#63Dublin, Ireland
Best for: Telecom operators and data-heavy product companies adding forecasting or anomaly detection to a platform they already run.

statworx
#64Frankfurt, Germany
statworx is a Frankfurt data-science and AI consultancy working across strategy, engineering and training, with a practice built around regulated and enterprise clients.

QUANT AI Lab
#65Madrid, Spain
QUANT AI Lab is a Madrid AI company building risk, forecasting and decision systems for regulated and operational environments, with offices in Paris, Bordeaux and London.

AI Sisters
#66Paris, France
Best for: Large French employers that want their own people building agents rather than a vendor owning them.

Conectia
#67Barcelona, Spain
Barcelona engineering partner that builds LLM, RAG and agent-based products for startups and scale-ups, and staffs CTO-vetted senior engineers into client teams. Offers AI chatbots and agents, AI automation, and CTO-as-a-Service alongside its delivery squads.

Neoteric
#68Gdańsk, Poland
Neoteric is a Gdańsk software company founded in 2005, building generative AI and language-model applications alongside custom product development. Clutch named it a top artificial intelligence and generative AI company in 2023.

Wise Monks
#69Vilnius, Lithuania
Best for: Lithuanian mid-market operators buying a defined AI automation at a published price, with named clients to call in the same market.

Lexogrine
#70Kraków, Poland
Best for: Founders shipping a consumer product that needs an AI feature designed, built and released inside one small team.

Apriorit
#71Poznań, Poland
Apriorit is a software engineering firm with a Poznań office, founded in 2002, working in cybersecurity, systems programming and research-led development with an AI and machine-learning service line.

InData Labs
#72Vilnius, Lithuania
InData Labs is a data science and AI firm with a Lithuanian office, founded in 2014. Its practice covers machine learning, natural-language processing, computer vision and data engineering.

Alpdev
#73Ljubljana, Slovenia
Best for: Mid-market sales and support teams that want an AI system wired into the CRM, telephony or ERP they already run.

Abelium R&D
#74Ljubljana, Slovenia
Abelium R&D is a Ljubljana research and development company founded in 2009, working in mathematical optimization, operations research and tailored algorithms, with forecasting and hybrid-intelligence platforms among its published research projects.

Yield Studio
#75Lyon, France
Best for: French mid-market firms adding a document-analysis or automation layer to a SaaS or internal platform they already operate.

BID Company
#76Milan, Italy
BID Company is a Milan data and AI consultancy building predictive models, language-model platforms and analytics architecture for Italian banks, insurers, pharmaceutical groups and transport operators.

Lexunit
#77Budapest, Hungary
Best for: Industrial and legal-publishing operators buying a machine-vision or document-automation system to run on their own premises.

Tiksom
#78Manchester, United Kingdom
Best for: Startups needing an agent system designed rather than assembled, from a shop whose wider client list runs to UNICEF and Erasmus MC.

Sputnik Digital
#79Manchester, United Kingdom
Best for: Early-stage software companies adding an AI feature that has to work on day one of the pitch.
Marinuzzi & Associati
#80Rome, Italy
Best for: Public bodies that need an independent expert to specify, procure and supervise an AI program, not to build it.

Anadea
#81Alicante, Spain
Anadea is a software development firm headquartered in Alicante, founded in 2000, running an AI department it dates to 2019. Its AI work covers agentic systems, LLM applications, and automation for product companies.

Idiro Analytics
#82Dublin, Ireland
Best for: Consumer-facing telecom and utility operators, and Irish public bodies, that need models tested and evidenced rather than built.

Algoretico
#83Milan, Italy
Best for: Italian manufacturers and financial firms with awkward data—CAD, drawings, voice—that a text-only search will not reach.

G+D Netcetera
#84Zurich, Switzerland
Best for: Banks and payment providers adding AI to platforms an established engineering partner already operates for them.
Mozza
#85Paris, France
Best for: Companies that want an honest read on whether an AI project is worth building before commissioning one.

Knowmad Mood
#86Madrid, Spain
Knowmad Mood is a Madrid digital transformation consultancy with a dedicated AI, IoT and data practice serving banking, public-sector and telecom clients.

TUATARA
#87Warsaw, Poland
Best for: Banks, insurers and telecoms in Poland or the Gulf that want a conversational assistant deployed inside existing customer channels.

Almawave
#88Rome, Italy
Almawave is a Rome natural-language and speech AI company building multilingual language models, conversational systems and clinical and administrative data interpretation for public administration, healthcare and finance.

BI4ALL
#89Lisbon, Portugal
BI4ALL is a Lisbon data and AI consultancy working on analytics platforms, machine learning and generative-AI automation for banking, insurance, pharmaceutical and energy clients.

Closer Consulting
#90Lisbon, Portugal
Closer Consulting is a Lisbon data science and AI consultancy working on machine learning, fraud and risk models and analytics platforms for banking, telecom, energy and retail clients.

ADVISORI
#91Frankfurt, Germany
ADVISORI is a Frankfurt IT and AI consultancy for regulated industries, pairing AI strategy and implementation with information security, risk management and regulatory compliance.

Shift Agency
#92Frankfurt, Germany
Best for: Enterprise brands and institutions rebuilding a website, newsroom or brand platform, with AI applied to marketing and visibility.

Jakala
#93Milan, Italy
Best for: Large retail and hospitality brands buying a marketing and data program at group scale rather than a single system.

Codec
#94Dublin, Ireland
Best for: Irish public bodies and regulated organizations buying case management or a data platform from a long-established Microsoft partner.

Dataroots
#95Ghent, Belgium
Dataroots is a data and AI consultancy and part of the Talan Group, working across data strategy, machine learning, MLOps and generative AI for enterprise clients, with a Ghent office and its head office in Leuven.

ELCA Informatik
#96Lausanne, Switzerland
Best for: Swiss institutions adding AI inside a larger systems program run by a long-established integrator.

Datahouse
#97Zurich, Switzerland
Best for: Swiss insurers, banks and property analytics teams wanting a small data-science team that publishes its methods.

Techrivo
#98Lisbon, Portugal
Techrivo is a Lisbon technology consultancy with a Luxembourg office, working in financial-services engineering: KYC and anti-money-laundering systems, compliance platforms and technical due diligence.

AI Superior
#99Darmstadt, Germany
AI Superior is a Darmstadt AI development company building computer vision, deep learning and language systems, from feasibility study through to deployment.

Innowise
#100Warsaw, Poland
Innowise is a Warsaw software development company running full-cycle delivery across data, machine learning and generative AI alongside its wider engineering, cloud and staff-augmentation practice.

Gemmo AI
#101Dublin, Ireland
Best for: Financial-services teams with their own engineering who need a machine-learning bench for the experiment-and-prototype stage.

DevXHub
#102Helsinki, Finland
DevXHub is a software company with a Helsinki office, building AI applications alongside full-stack product development. Its published AI work covers conversational platforms and multi-model AI tooling.

Enlightenment.ai
#103Lisbon, Portugal
Best for: Large consumer brands and banks that want a costed sequence for their data program before they commission any model.

Supervoima
#104Helsinki, Finland
Helsinki AI consultancy running a two-phase model: a strategic workshop that scopes where AI pays back, then deployment of AI agents into existing workflows on Azure, GCP or AWS. Focused on finance, infrastructure and real estate, and publishes on agent protocols including MCP and A2A.

Phenomenon Studio
#105Tallinn, Estonia
Best for: Funded startups that need the interface and front end of an AI product designed and built while the model stays in-house.
Klevere
#106Amsterdam, Netherlands
Klevere is an Amsterdam AI studio building custom agents for recruitment, content operations and deal screening, and integrating them into the tools clients already run.

AISOMA
#107Frankfurt, Germany
AISOMA is a Frankfurt AI consultancy specializing in locally hosted and open-source systems, with an emphasis on keeping models and data inside the client's own infrastructure.

WITH Madrid
#108Madrid, Spain
Best for: Consumer and luxury brands that want a conversion or asset-delivery problem solved and measured, not a model built.

Storm Technology
#109Dublin, Ireland
Best for: Irish organizations already running Dynamics 365 or Power Platform that want Copilot and Azure AI advice from a Microsoft partner.

DMBI Consultants
#110Rome, Italy
DMBI Consultants is a Rome-area data-science consultancy building forecasting, text mining, satellite image analysis and predictive maintenance models for banks, utilities, telecom operators and public bodies.

Navique
#111Zurich, Switzerland
Best for: Energy and utility firms that need the data platform built properly before any model work starts.

Logikon Solutions
Verified: the agency confirmed ownership from a company email address, and the listing passed editorial review#112Rotterdam, Netherlands
Logikon Solutions is a two-person data and AI company based in Rotterdam, the Netherlands. We engineer intelligent processes from your data: the pricing, forecasting, planning and scheduling decisions a business still runs on instinct, rebuilt to run on evidence using operations research and machine learning. Our work covers demand forecasting and dynamic pricing, inventory and resource optimisation, geospatial models on satellite and location data, recommendation and propensity models, and LLM agent systems with retrieval, tool calling and evaluation before they go live. Every project follows our five-step LOGIK process, from locating the decision to handing over dashboards and automated recommendations your team acts on. Founded by Panos and Antonis Mavritsakis, with backgrounds at TU Delft, Arup and Deltares. We start every engagement with a short fixed-scope Diagnostic and quote each project fixed after a scoping call.

Ronas IT
#113Tallinn, Estonia
Tallinn web and mobile development firm trading since 2007, with a published portfolio spanning generative AI tooling, in-app assistants and recommendation systems alongside a much larger body of conventional product work.

DevKit
#114Tallinn, Estonia
Tallinn software firm offering dedicated teams and staff augmentation, with AI work covering machine-learning vulnerability detection and automated remediation. Estonian headquarters with a US office in Wilmington.

Elinext
#115Warsaw, Poland
Elinext is a software development group headquartered in Warsaw, founded in 1997, with an AI and machine-learning service line alongside its platform practice. Its AI work covers retrieval-augmented systems, recommendations, and document processing.

WIANCO OTT Robotics
#116Darmstadt, Germany
German automation company near Darmstadt that builds and licenses EMMA, a cognitive AI platform for automating cross-system business processes without APIs or scripted bots. Sells mainly through implementation partners, and offers cognitive-AI consulting and EMMA training directly.
Upscale Paris
#117Paris, France
Upscale Paris is a Paris AI consultancy working on operating-model change, from AI strategy and governance through prototype builds to adoption programs inside client teams.

Nucleo
#118Dublin, Ireland
Nucleo is a Dublin advisory and technology consultancy whose Data & AI division builds automation, analytics and AI systems for finance, public-sector and enterprise clients.

Datrix
#119Milan, Italy
Datrix is a Milan AI group that acquires software companies and builds machine learning, forecasting and scoring into them, working across financial services, marketing technology and industrial data.

Performanze
#120Madrid, Spain
Performanze is a Madrid consultancy building custom software, data models and AI agents that consolidate sales, operations and finance for B2B companies and public bodies.
InfinitiBit
#121Munich, Germany
InfinitiBit is a Munich generative-AI and software consultancy working on governed agent systems and enterprise language-model applications, with its own Rust-based execution engine for auditable AI workflows.

ActinVision
#122Lyon, France
ActinVision is a data and AI consultancy with a Lyon office building data platforms, visualization, data science and generative AI for industry, retail and logistics clients.

Stepwise
#123Warsaw, Poland
Stepwise is a Warsaw AI and cloud consultancy building AI strategy, custom software, data engineering and MLOps as a Google Cloud partner.

Paradigma Digital
#124Madrid, Spain
Paradigma Digital is a data and AI engineering firm in greater Madrid building cloud-native data platforms, machine learning and generative AI for large Spanish enterprises.

Vention
#125London, United Kingdom
Vention is a software engineering firm with a London office, running an AI Center of Excellence alongside its platform practice. Its AI work spans computer vision, retrieval systems, and agent development.

Cloud District
#126Madrid, Spain
Cloud District is a Madrid digital product and software firm building custom applications, AI and data solutions for B2B and startup clients.

Mobile Reality
#127Warsaw, Poland
Mobile Reality is a Warsaw software and AI development firm building AI-powered platforms, agents and SaaS products for real-estate and B2B clients.

Transparity
#128London, United Kingdom
Transparity is a UK Microsoft partner running an AI consulting practice across agentic AI, Copilot Studio, and Azure AI Foundry. It holds the AI Platform on Microsoft Azure Specialisation and Microsoft Frontier Partner status.
Pixelette Technologies
#129London, United Kingdom
Pixelette Technologies is a London technology firm founded in 2018, building computer-vision and data-automation systems alongside its wider engineering practice.

Serokell
#130Paris, France
Serokell is a software firm with a Paris office, founded in 2015, combining functional-programming engineering with machine-learning delivery. Its ML practice covers predictive maintenance, computer vision, and natural-language systems.

Found
#131London, United Kingdom
Found is a London performance-marketing agency with a data and AI practice covering AI-search visibility, data science and marketing automation, built on its own Luminr and Everysearch tooling.

N-iX
#132London, United Kingdom
Engineering services group with a dedicated data, AI and machine-learning practice covering generative AI consulting and implementation, AI agents and MLOps. London office; registered in Malta with delivery centres across Ukraine, Poland, Bulgaria, Romania, Sweden, India and Colombia.

Brights
#133Warsaw, Poland
Brights is a technology firm with a Warsaw base building AI consulting, custom software and machine-learning solutions for enterprise clients.

Marionete
#134London, United Kingdom
Marionete is a London data and AI engineering consultancy building enterprise data platforms, self-service data science environments and machine-learning systems for banks, brokers and industrial groups, with a nearshore delivery office in Lisbon.

Stratify AI
#135Budapest, Hungary
Stratify AI is a Budapest AI consulting and implementation firm building contract summarization, natural-language database query and recruitment screening systems for business operations.

Mercury Labs
#136London, United Kingdom
Mercury Labs is a London senior-led AI consultancy working from discovery through production on machine learning, retrieval systems and data engineering, and an approved supplier on the Crown Commercial Service AI framework.

Valletta Software Development
#137Valletta, Malta
Valletta Software Development is a Malta software firm founded in 2009, building enterprise systems and on-premises language-model deployments for regulated industries.

Opinov8
#138London, United Kingdom
Opinov8 is a London-headquartered engineering firm founded in 2017, running an AI consulting and data practice and its own agent deployment platform alongside cloud and modernization services.

Unlock Management
#139Madrid, Spain
Unlock Management is a Madrid AI consultancy building AI strategy, agents and implementation for business and financial clients.
CZ Multimedia
#140Lyon, France
CZ Multimedia is a web and AI agency in the Lyon area building chatbots, retrieval assistants, document vision and machine-learning integrations for small businesses.

Blackbirds
#141Rotterdam, Netherlands
Blackbirds is a Rotterdam AI consultancy pairing strategy with engineering for planning, document, forecasting and compliance work, mainly for logistics, public sector and industrial clients.

Sngular
#142Madrid, Spain
Sngular is a Madrid-headquartered digital engineering group building AI, data-platform and MLOps solutions for finance, retail, telecom and public-sector clients.
Data Reply
#143Munich, Germany
Data Reply is the big-data and AI engineering practice of the Reply group, working from Munich on data platforms, machine learning and generative AI for enterprise clients.

Netcompany
#144Copenhagen, Denmark
Netcompany is a Copenhagen IT consultancy delivering large-scale digital and AI systems, including generative AI and data platforms, for governments and enterprises.

Bosonit
#145Madrid, Spain
Bosonit is a data and AI consultancy with offices in Madrid and Logroño covering data strategy, engineering, machine learning and generative AI.

Instituto de Ingeniería del Conocimiento
#146Madrid, Spain
The Instituto de Ingeniería del Conocimiento is a Madrid research institute at Universidad Autónoma de Madrid selling machine learning, language technology and predictive analytics services.

Inspari
#147Copenhagen, Denmark
Inspari is a Danish Microsoft data and AI consultancy in greater Copenhagen, delivering data strategy, analytics and AI for enterprise clients.

KVL
#148Rotterdam, Netherlands
KVL is a Rotterdam data and analytics consultancy building AI-ready data platforms, dashboards and machine-learning use cases for healthcare, insurance and public-sector clients.

Nexid
#149Milan, Italy
Nexid is a Milan digital engineering consultancy building on-premise transcription, clinical-trial matching and document-understanding systems alongside its enterprise architecture practice.

b.telligent
#150Munich, Germany
b.telligent is a Munich-headquartered data and AI consultancy working on data platforms, machine learning and analytics for enterprises across the German-speaking region, with nine offices.

Halfspace
#151Copenhagen, Denmark
Halfspace is a Copenhagen AI and advanced-analytics company building custom machine learning and generative AI for large Nordic organizations.

Grepton
#152Budapest, Hungary
Grepton is a Budapest software and systems integrator building AI agents, document automation and predictive analytics into the ERP, CRM and business-intelligence platforms it delivers for insurers, hospitals and public bodies.

Blindspot AI
#153Prague, Czech Republic
Blindspot AI is a Prague machine-learning consultancy building agentic platforms, computer vision and optimization systems for banks, carmakers and media groups across Central Europe.

Data Technology
#154Vienna, Austria
Data Technology is a Vienna data-science and AI consultancy building custom analytics, machine-learning and software solutions for finance, retail and media clients.
Robot ICT
#155Prague, Czech Republic
Robot ICT is a Prague automation and software firm building document extraction, robotic process automation and reporting systems for logistics, manufacturing and compliance operations.
ontolux
#156Berlin, Germany
ontolux is a Berlin AI agency working in language processing, semantic search and retrieval-augmented generation for public-sector, media and enterprise knowledge systems, and a brand of Neofonie.

Witebot
#157Zurich, Switzerland
Witebot is a Zurich AI automation agency building AI agents, workflow automation and custom LLM solutions for B2B companies and SME clients in Switzerland.
Expert Insight
Why Hire a FinTech AI Specialist?
Regulatory literacy—Fraud detection, transaction monitoring, and credit models operate under supervisory expectations for model risk management, and creditworthiness scoring is a high-risk category under the EU AI Act. Specialists design the documentation, logging, and human-oversight layer from day one; generalists discover it exists when your compliance team blocks the release
False-positive economics—A fraud model is judged by its false-positive rate, because every false alarm is a blocked customer and a manual review costing real money. Specialists tune for the operational cost curve, not headline accuracy—a model that's 99% accurate can still bury your operations team in alerts
Legacy integration—The model is the easy part; connecting it to a core banking system, a payments switch, and a case-management tool built in 2008 is the project. Firms with financial-services experience quote the integration honestly instead of discovering it in month three
Vendor-risk survival—Banks and insurers put suppliers through outsourcing reviews, security questionnaires, and audit-rights negotiations that stall unprepared vendors for months. Specialists arrive with the documentation pack ready, which shortens procurement instead of stalling it
Where FinTech AI agencies are based
157 fintech ai agencies across 35 European cities. Distribution by hub:
Most common services offered by FinTech AI agencies in Europe
These 157 FinTech AI agencies across Europe most commonly offer:
- AI Development149 of 157 — Adastra, Satalia, Datatonic, DataSentics, +145 more
- AI Consulting144 of 157 — Adastra, Satalia, Datatonic, DataSentics, +140 more
- Generative AI69 of 157 — Adastra, Datatonic, DataSentics, Unit8, +65 more
- AI Automation54 of 157 — Artefact, Faculty, Twistag, Siili Solutions, +50 more
- AI Agents44 of 157 — Satalia, Artefact, ML6, Faculty, +40 more
- AI Marketing3 of 157 — Ekimetrics, Jakala, Found
Frequently asked questions — FinTech in Europe
- How much do FinTech AI agencies in Europe charge?
- Of the 157 FinTech AI agencies on this page, 73 publish complete hourly rate ranges. They range from €20 to €175, with a median around €65. Across the register, rated agencies in Europe bill €65–110/hr (145 rated). 69 agencies operate under €100/hr: Twistag, Siili Solutions, Solita, Plain Concepts.
- Which are the top-rated FinTech AI agencies in Europe?
- Based on our editorial scoring (portfolio quality, business credibility, and case study depth), the top-ranked FinTech AI agencies in Europe are Adastra, Satalia, Datatonic. See the full review on each agency's profile.
- Which European cities have the most fintech ai agencies?
- London leads with 17 fintech ai agencies (11% of the European total), followed by Madrid (12) and Dublin (11). Top firms in London include Satalia, Datatonic, Faculty.
- How recent are these FinTech AI agency reviews?
- 124 of the 157 agencies on this page have been editorially reviewed between Aug 4, 2026 and Sep 16, 2026 — the most recent being Nucleo. See our review methodology for how scores are calculated.
- What's the smallest team size available for fintech in Europe?
- Kortical, Clearlead AI Consulting, HolistiCRM are the boutique studios (under 10 people) on this page, ideal for projects needing senior-level attention without large-team overhead.
Hiring Guide
What to Know Before Hiring a FinTech AI Agency
Hiring an AI vendor for a financial product is not like hiring one for marketing content. Anything that touches fraud decisions, credit, or transaction monitoring operates under supervision—BaFin, the FCA, the ECB, national regulators—and a model that can't be explained to an auditor is a liability, not an asset. The first question to any candidate agency is not 'what can you build?' but 'show us something running inside a regulated institution, and tell us how it survived the model-risk review.'
The EU AI Act sharpens this. Creditworthiness scoring for natural persons sits in the high-risk tier, which brings documentation, human-oversight, data-governance, and logging obligations. An agency that treats this as paperwork to bolt on at the end will deliver a system your compliance team cannot sign off. Agencies that have shipped in this environment design the audit trail first and the model second—and their proposals say so explicitly.
The demo-vs-deployed gap is wider in FinTech than almost anywhere else. A fraud-detection demo on a clean sample dataset is a weekend project; a production integration that holds a workable false-positive rate against your real transaction stream, connects to a 20-year-old core banking system, and passes your outsourcing and vendor-risk review is a 3–6 month engagement. Anchor hourly rates on the European range on our rate index, with genuine financial-services experience priced at its top end; pilots from €30,000, and production integrations well beyond that.
One practical filter: ask every candidate for the false-positive rate of a system they deployed and what it cost the client in manual review hours. Firms that have done the work answer with numbers. Firms that haven't answer with architecture diagrams.
A scoped FinTech AI pilot—document automation for KYC, a fraud-model proof on your data—typically costs €15,000–€40,000, while production integrations run €60,000–€150,000 and up. Rates for agencies with financial-services experience sit above the general market on our rate index, because regulatory knowledge is priced in. Budget separately for compliance review cycles: model-risk documentation and internal sign-off routinely add 20–30% to the timeline, and an agency that hasn't included that in its plan hasn't worked in banking.
Yes—AI credit scoring is legal, but it is classified as a high-risk use under the EU AI Act, which triggers obligations including risk management, data-governance controls, technical documentation, logging, and human oversight. In practice that means a credit model needs bias testing, explainable outputs a loan officer can act on, and a documented review process before deployment. When evaluating agencies, ask to see the documentation set they produced for a previous high-risk system; the ones who have done it can show you the shape of it immediately.
Ask for a deployed reference in a regulated institution, the false-positive rate of a fraud or monitoring system they shipped, and how their work passed a model-risk or outsourcing review. These three questions separate firms with production experience from firms with demos. Follow up on integration: which core banking, payments, or case-management systems have they connected to, and what went wrong? Any agency that describes those integrations as straightforward either hasn't done them or isn't being honest—both are disqualifying in this vertical.
Yes, with controls—European banks already use general-purpose models for document processing, customer-service drafting, and internal knowledge search. The constraints are data handling (contractual no-training terms, EU residency where required), auditability, and keeping the model out of decisions that need explainability standards it can't meet. The practical pattern is LLMs for language work and traditional, explainable models for credit and fraud decisions. A good agency will draw exactly that line in the proposal; be wary of one that pitches an LLM as a credit-decision engine.
Plan for 3–6 months from kickoff to production for a fraud-detection integration, and treat shorter promises with suspicion. The model itself often converges in weeks; the time goes to data access, integration with transaction systems and case management, threshold tuning against your real false-positive tolerance, and internal risk sign-off. A common structure is a 4–8 week proof on historical data followed by a shadow-mode phase running alongside your existing controls before it touches live decisions.
For most institutions the honest answer is a hybrid: an agency for model development, evaluation design, and AI Act documentation, and your internal team for data access, integration, and long-term ownership. In-house teams know the systems; specialist agencies have made the mistakes already on someone else's budget. The handover plan matters more than the split—require documented pipelines, reproducible training, and monitoring your team can run, and put a €2,500–8,000/mo support retainer in the plan for the first year rather than pretending the model is finished at go-live.
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