Mental BoundMental Bound
AboutServicesSolutionsPortfolioBlogGlossaryContact
EL
Mental BoundMental Bound

Intelligent Digital Engineering

We craft fast, elegant software with AI-powered backends and polished interfaces.

Navigation

  • About
  • Services
  • Portfolio
  • Blog
  • Glossary
  • Project Planner
  • Contact

Services

  • AI Readiness
  • AI & Automation
  • Software Development
  • Data & Analytics
  • Cloud & DevOps
  • Intelligent Web
  • AI Fluency
  • Cowork Adoption
  • AI Governance
  • IT Consulting

Solutions

  • FinTech
  • eCommerce
  • SaaS

Connect

  • info@mentalbound.com
  • Athens, Greece

© 2026 Mental Bound. All rights reserved.

Privacy
  1. Home
  2. Solutions
  3. Fintech

Engineering for pre-regulated FinTech.

We build the parts that don't yet need a license — and we tell you which parts do.

Start a project brief
Athens-based, EU-region by defaultSmall team, no agency layersHonest scope before any SOW
The 30-second answer

What does Mental Bound build for FinTech?

We build the engineering around a FinTech that hasn't picked up — or doesn't yet need — a regulatory license. Customer-facing apps and onboarding UX. Internal tooling for founders and ops teams. Integrations and orchestration around regulated vendors (Stripe, Onfido, ComplyAdvantage, banking-as-a-service providers). Data pipelines, analytics, and document extraction with human review. We are not the vendor that acts as the formal *provider* of a high-risk AI system under the EU AI Act, or that operates anything under your license. When your roadmap needs that, we say so before quoting.

  • Customer-facing apps, onboarding UX, and support portals
  • Internal tooling: admin panels, ops dashboards, case-management UIs
  • Orchestration around regulated vendors (KYC, AML, payments, BaaS)
  • Data pipelines, observability, and reporting from primary data
  • Document extraction (KIDs, prospectuses, statements) — routed to human review
  • Internal RAG over your policies, SOPs, and historical case notes

Why pre-regulated FinTech founders need a different engineering partner

Between idea and licensed operation, an EU FinTech typically has 6–18 months of building that mostly doesn't need to be regulated yet. Customer-facing apps. Internal dashboards. Integrations with already-licensed vendors. Data pipelines. Most engineering vendors don't know which parts those are — and the result is either over-scoping (paying enterprise prices for compliance scaffolding you don't need) or under-scoping (building features that have to be ripped out before authorization).

Big-4 consultancies are scoped for already-regulated buyers. Specialized RegTech firms sell to regulated operators. Other small studios understand modern web and AI engineering but not the regulatory map. Founders end up either explaining what 'PSD2 PISP' or 'crypto-asset service provider' means to their engineers, or paying €€€€ for a slide deck about what they should build.

We're a small Athens-based studio. We build well, we know modern web and AI patterns, and we read the regulatory landscape carefully enough to scope *around* it — not authorize it. We never act as the formal provider of an EU AI Act Annex III high-risk system (credit scoring, biometric ID, life or health insurance risk pricing). We never take work that requires a Notified Body certification we don't hold. We never build autonomous decisioning that moves customer money without an explicit human approval step. Where the EU AI Act, DORA, AMLD6, or MiCA actually bite, we'll say so before quoting — and point you at a regulatory counsel or a Notified Body before we point you at an SOW.

What we build for pre-regulated FinTech

Customer apps and onboarding UX

The interface and the flow. Signup, onboarding, dashboards. The KYC decisioning stays at your vendor; we own the UX that wraps it.

Internal tooling and ops dashboards

Admin panels, founder dashboards, case-management UIs, ops queues. The interfaces your team uses internally — outside the regulated boundary.

Vendor orchestration

The connective engineering around third-party regulated vendors: KYC, AML, fraud, payments, banking-as-a-service. Request routing, retries, evidence collection, queue handoff.

Data pipelines and reporting

Moving data between systems, building dashboards, assembling reports from primary data. No autonomous decisioning.

Document extraction with human review

Structured extraction from KIDs, prospectuses, terms, and statements — routed to a human reviewer in your case management. We don't autonomously classify customers.

Internal RAG for early teams

Retrieval over your policy documents, SOPs, and historical case notes for staff lookups. Not customer-facing, not decisioning.

How we work

  1. 01

    Scoping

    Two to three weeks. We map the buyer question, the data, the regulatory shape, and what shipping looks like. Output is a written brief with a fixed-scope first phase.

  2. 02

    Prototype

    A working slice end to end — the model, the integration, the UI, and the observability. Built to be evaluated, not to demo.

  3. 03

    Build

    Production engineering: data contracts, decision logs, deployment, monitoring, runbooks. The thing your team can own after we leave.

  4. 04

    Ship

    Cutover, training, and a handover that includes the parts most teams skip — change-management notes, audit-ready docs, and a 30-day support window.

Frequently asked

Have you shipped this for a regulated FinTech before?
No, not attributed regulated FinTech work. Our portfolio is adjacent — complex web platforms with business-rule engines, payments, and third-party integrations. We say this here because it's the first question worth asking, and we'd rather you ask it now than later.
What's your regulatory expertise on DORA, AMLD6, EU AI Act, MiCA?
Working literacy, not authorizing expertise. We've read the relevant articles seriously enough to scope around them. We don't replace a compliance lead, a regulatory counsel, or a Notified Body, and we'll tell you when your build needs one before we quote.
Are there projects you won't take on?
Three hard nos. We don't act as the formal *provider* of an EU AI Act Annex III high-risk AI system — credit scoring, biometric ID, life or health insurance risk pricing. We don't take work that requires a Notified Body certification we don't hold. We don't build autonomous decisioning that moves customer money without an explicit human approval step. If your build needs any of those, we'll be honest before the SOW and point you at the right vendor or counsel.
What about data residency?
EU-region by default — Frankfurt, Dublin, Amsterdam on AWS, GCP, or Azure. For sensitive workloads we can deploy on infrastructure you own or in a private VPC. We don't move customer data outside the agreed boundary.
How long does engagement take?
Scoping is 1–2 weeks (a written brief, fixed-scope first phase). A first production-ready slice usually ships in 6–10 weeks. From there it's iteration. We don't sell year-long contracts up front — you can leave after any phase.
Who owns the IP?
You do. Code, data, configurations, any models we fine-tune for you — yours to keep, modify, or move. We bring our own internal tooling and patterns, but anything built for your business is yours.

Related reading

Blog

Anthropic's Finance Agents Through an EU FinTech Lens: What to Adopt, What to Wait On (2026)

Anthropic shipped ten finance agent templates on May 5, 2026. Which map cleanly to EU FinTech work today, and which land in high-risk AI Act territory.

Blog

The Inevitable Integration: Why Every Business Will Run on AI

AI integration is moving from competitive advantage to business necessity. Here's how intelligent systems are becoming infrastructure — and why the cost of waiting is compounding.

Glossary

RAG (Retrieval-Augmented Generation)

An AI architecture that enhances LLM responses by retrieving relevant context from external knowledge bases before generating answers.

Glossary

Agent (AI Agent)

An AI system that can independently plan, make decisions, and take actions to accomplish goals — rather than just answering questions.

Glossary

Vector Database

A database optimized for storing and querying high-dimensional vector embeddings used in similarity search and AI applications.