Top FinTech AI Agencies in Europe

Best for: Governments and national-scale operators buying a system that has to run for years, not a model handed over at the end of a project.

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

Best for: Enterprises with a scheduling, routing or workforce-allocation problem big enough to justify operations-research specialists.

Best for: Enterprises standardizing ML delivery on Google Cloud or AWS, especially where a regulator has to be satisfied.

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

Best for: Industrial and financial enterprises building on Palantir Foundry, or weighing whether they should.

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

Best for: Enterprises and public bodies putting AI into production systems that already carry real traffic.

Best for: Enterprises and public bodies that need AI deployed under regulatory or safety scrutiny.

Best for: Operators with a document or workflow bottleneck that needs an agent auditable enough for finance or compliance to delegate to.

Best for: Pharma and life-sciences teams that need the method described in full when the client name cannot be.

Best for: Regulated Finnish and Nordic enterprises that need an AI system governed, certified and operated, not just delivered.

Best for: Large organizations in regulated or industrial settings that need analytics and AI delivered with the data platform underneath it.

Best for: Enterprises already committed to Azure that want an AI system delivered by a team with Microsoft-stack depth and named references.

Best for: Enterprises running an AI program who want their own team able to continue it afterwards.

Best for: Spanish utilities, public hospitals and large employers bringing a forecasting, clinical-data or Spanish-language modeling problem.

Best for: Nordic enterprises with an operating problem—capacity, pricing, safety—where a few percent of throughput is worth millions a year.

Best for: Irish public institutions and regulated financial firms adding AI to a Microsoft estate they already run.

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.

Best for: Institutions buying the data platform underneath analytics, where uptime and migration risk matter more than model accuracy.

Best for: Enterprises adding AI to a product or support workflow they already run, with the delivery team embedded alongside their own.

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

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

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

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

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.

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

Best for: Enterprises with a defined prediction or document-automation problem that want a model in production in weeks.

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

Best for: Operators with data spread across many systems who want the pipeline and the model built and run by one team.

Best for: Enterprises and public institutions that want a named AI system built on a governance platform with a live production record.

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

Best for: Operators with a measurable production bottleneck AI can remove—from timber design queues to e-commerce pipelines.

Best for: Nordic enterprises already running a Microsoft or Snowflake data platform that want AI built on top of it, not a standalone pilot.

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

Best for: Operational businesses with data already flowing that want a system built on it rather than a strategy deck.

Best for: Large French consumer businesses industrializing scoring or support automation that already runs past the pilot stage.

Best for: Insurers, brokers and public bodies automating document-heavy back-office work with an ISO 42001-certified delivery partner.

Best for: Banks, insurers and credit funds automating a defined back-office or sales workflow on a platform already run in production.

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

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

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

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

Best for: Financial institutions that need agentic AI shipped inside regulatory constraints—training through production.

Best for: Regulated institutions and retailers with a pricing, risk or monitoring problem that can be measured.

Best for: Enterprises putting voice or conversational AI in front of their own customers.

Best for: Product teams with a defined forecasting, fraud or analytics problem who want an established ML team on fixed-price or dedicated terms.

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.

Best for: Enterprises with large in-house engineering teams that want AI adoption or ML work measured against an agreed baseline.

Best for: Small European B2B teams automating a WhatsApp, invoice or order workflow that already runs inside an ERP or CRM.

Best for: Teams that want the senior consultant doing the build, with the architecture and its limits written down before delivery.

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 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.

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 is a Stockholm generative AI consultancy building conversational assistants and voice systems on its own platform, with a second office in Malmo.

Best for: Banks, retailers and utilities that want a propensity or next-best-offer model on their own data, scored on a business rate.

Best for: Founders and small teams who need a working AI feature in production fast, with the compliance reasoning written down.

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.

Best for: Enterprises staffing a multi-year engineering program in infrastructure, banking or back-office automation with a single partner.

Best for: Enterprises adding an AI layer onto a data platform their own team will run afterward, in manufacturing, insurance or media.

Best for: Swiss institutions wanting a conversational AI system built into their own cloud and then operated for them.

Best for: UK enterprises, charities and public bodies already on Microsoft 365 and Azure that want Copilot adopted and governed.

Best for: UK consumer brands in retail, insurance and hospitality that want AI applied inside paid search, SEO and campaign data.

Best for: Banks and insurers that need the data and MLOps platform under their AI built to regulated-industry standards.

Best for: Enterprises and public bodies putting a governed data platform under an AI program, with named references they can check first.

Best for: Consumer-facing brands and large operators in Spain evolving a digital product over years, with AI added into an existing workflow.

Best for: Industrial and pharmaceutical groups that want their own engineers taught to run AI projects before they buy a system.

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

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.

Best for: Nordic retailers and service businesses that want customer operations run by agents and measured weekly.

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

Best for: Spanish and Portuguese banks, insurers and public administrations wanting AI delivered by a large integrator with the data work around it.

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.

Best for: Funded founders building a regulated fintech or commerce product who want engineering that carries them to the next raise.

Best for: Consumer and industrial brands that need marketing spend measured and modeled rather than an AI system built.

Best for: Enterprises standardizing on ServiceNow that want customer workflows implemented and the platform's AI features actually adopted.

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

Best for: Irish and UK organizations running on Microsoft platforms that want AI added to systems they already depend on.

Best for: Telecom operators and data-heavy product companies adding forecasting or anomaly detection to a platform they already run.

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

Best for: Large French employers that want their own people building agents rather than a vendor owning them.

Serokell is a Tallinn-founded software engineering firm with a Paris office, known for Haskell and blockchain work, with a machine-learning practice in predictive maintenance, NLP and recommender systems.

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.

Best for: Fintech and proptech product teams that want LLM agents or AI forms built into a JavaScript platform by a small senior team.

Best for: Product companies adding an AI assistant or agent feature to a web or mobile platform built with an outsourced team.

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 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.

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

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

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.

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 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.

Best for: French mid-market firms adding a document-analysis or automation layer to a SaaS or internal platform they already operate.

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.

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

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

Best for: Early-stage software companies adding an AI feature that has to work on day one of the pitch.

Best for: Operations teams with a defined, repetitive back-office process they want running in weeks and the hours saved measured afterwards.

Best for: Public bodies that need an independent expert to specify, procure and supervise an AI program, not to build it.

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.

Best for: Consumer-facing telecom and utility operators, and Irish public bodies, that need models tested and evidenced rather than built.

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

Best for: Banks and payment providers adding AI to platforms an established engineering partner already operates for them.

Best for: Companies that want an honest read on whether an AI project is worth building before commissioning one.

Best for: Venture-backed product companies adding engineers to an existing team, with AI as one feature inside the software work.

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

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

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

Best for: Enterprise brands and institutions rebuilding a website, newsroom or brand platform, with AI applied to marketing and visibility.

Best for: Large retail and hospitality brands buying a marketing and data program at group scale rather than a single system.

Best for: Irish public bodies and regulated organizations buying case management or a data platform from a long-established Microsoft partner.

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.

Best for: Swiss institutions adding AI inside a larger systems program run by a long-established integrator.

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

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

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.

Best for: Early-stage B2B software companies that need a cloud and data engineering team, with AI as one part of the product build.

Best for: UK public bodies and publicly funded research programs building AI tools that keep expert reviewers in charge.

Best for: Financial-services teams with their own engineering who need a machine-learning bench for the experiment-and-prototype stage.

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.

Best for: Large consumer brands and banks that want a costed sequence for their data program before they commission any model.

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.

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 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 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.

Best for: Italian enterprises and institutions that want AI scoped inside a wider process, governance or platform engagement.

Best for: Hungarian companies on Microsoft Dynamics 365 or Azure that want AI added inside the ERP, CRM and data systems they already run.

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

Best for: Irish organizations already running Dynamics 365 or Power Platform that want Copilot and Azure AI advice from a Microsoft partner.

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.

Best for: Energy and utility firms that need the data platform built properly before any model work starts.

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.

Best for: Founders commissioning a first blockchain or AI product build on a startup budget who will check references before signing.

Best for: Teams adding cloud, data or modernization engineers who want AI coding tools applied to that delivery.

Kelriva AI is a London AI consultancy that builds document processing systems and AI agents for UK businesses, with a focus on regulated sectors such as financial services. We automate the extraction, checking and routing of data from contracts, KYC files, compliance filings and invoices, and build LangGraph agents that take over multi-step approval and review workflows. Every engagement is scoped in writing and delivered at a fixed fee. We work vendor-neutral and build on the systems a business already uses.

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.

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 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.

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 is a Paris AI consultancy working on operating-model change, from AI strategy and governance through prototype builds to adoption programs inside client teams.

Notch is a European AI-native product engineering company for mid-to-large enterprises. We build AI models, agents, and enterprise-grade custom software products. What do we do? 1. AI-native software development. We build new software products from scratch and modernize legacy applications. Senior engineers direct coding agents across the full lifecycle, from discovery to deployment and beyond. 2. Agentic systems. Autonomous agents built with architecture, testing discipline, and human oversight in place from the start. Entry points include an AI proof of concept and an AI minimum viable product. 3. Custom AI models. Purpose-trained models scoped to a specific business case. They outperform general-purpose models on accuracy, latency, data sovereignty, and running cost. 4. AI strategy consulting. The work before the build, turned into build-ready blueprints. Delivered as an AI Discovery Workshop or an AI Audit. 5. Agentic Experience Design. Designing how people work with agents across screen, chat, and voice. We make agent behavior transparent, controllable, and safe to delegate to. Who do we work with? Enterprise and mid-market companies with business-critical systems and a real engineering standard to meet. Typical clients have in-house technology teams and need depth those teams don't have on staff. Problems Notch is hired to solve "We know AI belongs in this process. We do not know what changes around it." An AI Discovery Workshop or AI Audit maps the process, the data behind it, and the operating model that has to change with it. Output is a build-ready blueprint. "An internal team built a working AI prototype. Now it has to run in production." A code and architecture review, a security and data isolation assessment, an evaluation baseline, and a decision on what to keep and what to rebuild. Then the production build, with the same team staying on. "Our core system is old, and every change takes a quarter." Agents map the codebase in days, not mon

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 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 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 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 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.

Scaling CIRFOODs tender process from 4 -> 45 per year with the same team.

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

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

Witebot is a Zurich AI automation agency building AI agents, workflow automation and custom LLM solutions for B2B companies and SME clients in Switzerland.

AI Manager Agency is a French technology service provider that helps startups and small businesses implement practical AI automation tools instead of hiring expensive, full-time AI engineers.