FinTech × Retainer Work
Best FinTech AI Agencies for Retainer Work (September 2026)
FinTech AI agencies with verified retainer client evidence — ranked by depth of documented work, then editorial quality.
Each listed agency documents retainer engagements on its own site or in a published case study; the model is never inferred from a service list.
Ranked agencies for retainer clients
Rankings updated · Newest review
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.
Lexunit
#2Budapest, 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.
OstraconAI
Verified: the agency confirmed ownership from a company email address, and the listing passed editorial review#3Helsinki, Finland
Client evidence: 11 documented clients overall
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.
Madrid, Spain
Client evidence: 11 documented clients overall
Best for: Consumer-facing brands and large operators in Spain evolving a digital product over years, with AI added into an existing workflow.
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.
Found
#6London, 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.
Budapest, Hungary
Client evidence: 7 documented clients overall
Best for: Banks, retailers and utilities that want a propensity or next-best-offer model on their own data, scored on a business rate.
Dublin, 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.
Bismart
#9Barcelona, Spain
Client evidence: 6 documented clients overall
Best for: Organizations whose AI plans depend on fixing the data layer first, especially in healthcare, public services and tourism.
Helsinki, Finland
Client evidence: 5 documented clients overall
Best for: Regulated Finnish and Nordic enterprises that need an AI system governed, certified and operated, not just delivered.
Adnovum
#11Zurich, Switzerland
Client evidence: 5 documented clients overall
Best for: Swiss institutions wanting a conversational AI system built into their own cloud and then operated for them.
Madrid, Spain
Client evidence: 4 documented clients overall
Best for: Enterprises already committed to Azure that want an AI system delivered by a team with Microsoft-stack depth and named references.
Squirro
#13Zurich, Switzerland
Client evidence: 4 documented clients overall
Best for: Regulated enterprises buying a retrieval and knowledge platform with the delivery work attached, not a bespoke build.
Ekimetrics
#14London, 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.
TEKenable
#15Dublin, Ireland
Client evidence: 4 documented clients overall
Best for: Irish and UK organizations running on Microsoft platforms that want AI added to systems they already depend on.
Dublin, Ireland
Client evidence: 4 documented clients overall
Best for: Consumer-facing telecom and utility operators, and Irish public bodies, that need models tested and evidenced rather than built.
Faculty
#17London, United Kingdom
Client evidence: 3 documented clients overall
Best for: Enterprises and public bodies that need AI deployed under regulatory or safety scrutiny.
Sngular
#18Madrid, Spain
Client evidence: 3 documented clients overall
Best for: Enterprises staffing a multi-year engineering program in infrastructure, banking or back-office automation with a single partner.
Budapest, Hungary
Client evidence: 3 documented clients overall
Best for: Industrial and pharmaceutical groups that want their own engineers taught to run AI projects before they buy a system.
Warsaw, Poland
Client evidence: 3 documented clients overall
Best for: Fintech and proptech product teams that want LLM agents or AI forms built into a JavaScript platform by a small senior team.
Zurich, Switzerland
Client evidence: 3 documented clients overall
Best for: Banks and payment providers adding AI to platforms an established engineering partner already operates for them.
Gemmo AI
#22Dublin, Ireland
Client evidence: 3 documented clients overall
Best for: Financial-services teams with their own engineering who need a machine-learning bench for the experiment-and-prototype stage.
Grepton
#23Budapest, 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.
Dmlab
#24Budapest, Hungary
Client evidence: 2 documented clients overall
Best for: Hungarian operators in energy, logistics or media that need a forecasting system wired into how the business already trades.
Neurons Lab
#25London, United Kingdom
Client evidence: 2 documented clients overall
Best for: Financial institutions that need agentic AI shipped inside regulatory constraints—training through production.
Amsterdam, Netherlands
Client evidence: 2 documented clients overall
Best for: Regulated institutions and retailers with a pricing, risk or monitoring problem that can be measured.
Dublin, Ireland
Client evidence: 2 documented clients overall
Best for: Teams that want the senior consultant doing the build, with the architecture and its limits written down before delivery.
Dublin, Ireland
Client evidence: 2 documented clients overall
Best for: Enterprises standardizing on ServiceNow that want customer workflows implemented and the platform's AI features actually adopted.
Codec
#29Dublin, Ireland
Client evidence: 2 documented clients overall
Best for: Irish public bodies and regulated organizations buying case management or a data platform from a long-established Microsoft partner.
About this list
This page carries more named financial institutions than named financial AI, and reading it means separating the names from the systems. Siili Solutions' Bobotin at LähiTapiola Finance is a clearly documented regulated deployment: a retrieval-augmented agent in production on Azure that drafts customer-service replies from contract terms, classifies complaints into regulated categories, leaves a person to send, and is maintained as a managed service under the EU AI Act and ISO/IEC 42001 certification. Faculty's AgentAssist and MemberSummarise tools run inside Tide's customer-service workflows with a published 10% cut in ticket-handle time. Hiflylabs built an agentic RAG knowledge base for Erste Bank's branch clerks on LangGraph and Azure AI Search, reporting 40% higher answer accuracy. Squirro names the European Central Bank, Standard Chartered and OCBC, and its flagship case, 36 full-time roles freed at a European financial institution, sits behind a download form without the institution's name. Several other financial names attach to other work: Adnovum's UBS KeyClub and PostFinance passwordless access are software engineering, and its AI voicebot serves a building insurer; G+D Netcetera's SIX, Viseca, Valiant and DKB engagements are payments platforms; Mobile Reality's Nomis Solutions build was a pricing-platform MVP with no AI component; Bismart's Banc Sabadell work is dashboards under ongoing maintenance. OstraconAI's Evitec campaign reached 1,000 or more decision-makers at Nordic financial organizations, outbound marketing for a fintech rather than fintech AI.
For a regulated buyer the retainer question is who answers the auditor. Ask which named financial client runs an AI system the agency operates today, under what certification, and how model changes are logged. Where the case is anonymous or behind a form, ask for a speakable reference before signing a monthly fee.
Intro by Gabor Kiss, curator · How we rank
Expert Insight
Why FinTech experience matters
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
Frequently asked questions
29 agencies in our directory combine verified retainer client evidence with documented FinTech work. The current top-ranked are Storm Technology, Lexunit, OstraconAI — 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 €20–400 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 retainer 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 retainer engagements deliberately.
5 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.