AI fintech software development · EonTech Poland

AI fintech platform development
that regulators trust.

EonTech is a Poland-based AI fintech platform development company. We build payments, lending, banking, and trading platforms — plus the custom AI on top: AI banking assistants, AI trading and AI crypto trading bots, fraud ML, AI insurance software. Security and compliance are designed in from the first sprint. You ship fast, and you keep the code, the models, and the IP.

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  • Software + AI, one contract
  • Senior teams · your time zone
  • GDPR · ISO 27001
  • EU nearshore
End to end
Discovery, build, QA, and launch under one contract
ISO 27001
Security-first delivery and access controls
Your IP
You own the code, the models, and the data

What this page is about

Fintech and AI, delivered by one senior team

Fintech products live inside a squeeze: regulators want provable controls, customers want a modern experience, and boards want AI features in the roadmap next quarter. Meeting all three usually means stitching three vendors together — a product team, an AI shop, and a compliance-savvy DevOps partner. That is where velocity quietly dies.

EonTech is built to be all three under one contract. Our senior engineers ship regulated financial software, our ML and MLOps practice trains and deploys models the same regulators can inspect, and our cloud/DevOps team runs the platform on your account with audit-ready logging. That is the shape of an actual AI finance platform development company: product engineering, custom AI/ML, and secure infrastructure sitting inside one team, not three.

The rest of this page walks through what we build — from payments and digital banking to AI trading bots, AI crypto trading bots, and AI insurance software — plus how we deliver, the compliance posture we bring, and answers to the questions fintech buyers ask most often when they evaluate fintech software development outsourcing partners.

Why fintech teams choose us

The commercial case for a single AI + software partner

Six reasons fintech CTOs, product leads, and founders pick EonTech over a generic outsourcing shop or a decoupled AI vendor.

  • Software + AI, one contract

    Product engineering and custom AI/ML sit under the same senior team. You do not integrate two vendors mid-build when the roadmap needs a model.

  • EU nearshore delivery

    Poland-based, CET time zone, live overlap with UK, EU, and US East Coast working hours. Fintech software development outsourcing without the async gap.

  • Regulator-ready by default

    PSD2, SCA, KYC/AML, PCI-DSS mindset, and GDPR baked into architecture from sprint one. Audit trails are a design input, not a retrofit.

  • Own the models, own the code

    Every model we train and every service we ship is yours, in your repositories, in your cloud account. No proprietary middleware, no vendor lock-in.

  • Senior-only bench

    Backend, ML, MLOps, and cloud engineers who have shipped regulated production systems. No juniors learning on your ledger.

  • Startup pace, enterprise rigor

    Weekly demos, fixed first milestone, threat-modeled foundations. Speed that survives a regulator visit six months later.

AI-native fintech surface

What an AI fintech platform development company actually ships

The AI layer where our machine learning development services for fintech land in production — banking assistants, trading systems, trading bots, fintech apps, and insurance software.

  • AI banking software

    As an AI banking software development company we build agentic support, transaction categorisation, cash-flow forecasting, and next-best-action nudges wired directly into your core-adjacent stack.

  • AI trading platforms

    As an AI trading software development company we ship signal generation, execution logic, portfolio tooling, and market-data ingestion — with the observability to prove every fill and every model call.

  • AI trading bots

    As an AI trading bot development company we build strategy engines, backtesters, execution routers, and risk controls. Bots that log every decision and survive an audit, not just a demo.

  • AI crypto trading bots

    As an AI crypto trading bot development company we cover CEX and DEX venues, on-chain data pipelines, wallet key management, and MEV-aware routing. Latency and safety, not just a Telegram alert.

  • AI fintech apps

    As an AI fintech app development company we deliver mobile and web experiences with LLM-powered assistants, personalisation, KYC copilots, and fraud copilots — all under strict data-boundary controls.

  • AI insurance software

    As an AI insurance software development company we build underwriting assistants, claims triage, document intelligence for policies, and fraud detection tuned to your book of business.

What we build

Coverage across the fintech stack

From the first transaction to a multi-market platform, we carry the patterns that fintech demands. Money models, decisioning, and risk are our home ground, not an afterthought.

  • Payments & wallets

    Card, account-to-account, and embedded payment flows. We design for idempotency and reconciliation from day one, so money never goes missing.

  • Lending & credit

    Origination, underwriting, and servicing platforms. Decisioning pipelines that are auditable, explainable, and ready for regulator review.

  • Digital banking

    Core-adjacent ledgers, onboarding, and account management. Built cloud-native so a launch in one market scales to many without a rewrite.

  • Trading & wealth

    Order management, portfolio tooling, and market-data ingestion. Low-latency services with the observability to prove every fill.

  • Fraud & risk ML

    Models trained on your transaction data for scoring and anomaly detection. Wired into the product, monitored in production, retrained on a schedule.

  • Compliance tooling

    KYC, AML, and sanctions workflows with full audit trails. Reporting that maps to the obligations your regulators actually check.

Use cases

Where machine learning development services for fintech pay back

Practical, revenue- or risk-shaped applications we deliver most often — not lab experiments.

  • Real-time fraud scoring

    Sub-100ms models on the payment path. Combined rules + ML with human-review queues for borderline cases. Explanations attached to every decision.

  • Credit underwriting copilots

    LLM assistants that read applications and pull structured features for the decision engine — while the score itself stays in a fully-explainable model your regulator can inspect.

  • AML transaction monitoring

    Behavioural models that reduce false positives from rule-only monitoring, with case-management UI and SAR-ready audit trails.

  • Crypto strategy engines

    Signal, execution, and risk stacks for CEX/DEX venues. Wallet security, cold-key policies, and MEV-aware routing baked in.

  • Robo-advisor & portfolio tooling

    Portfolio construction, rebalancing, and personalised nudges for wealth and retail investing products. Backtested, versioned, and observable.

  • Insurance claims triage

    Vision + NLP pipelines that read photos, invoices, and policy docs, then route claims by severity. Adjuster time saved without losing the audit trail.

Industry relevance

Sub-verticals we ship in

Fintech is not one market. Domain fluency changes what "good" looks like, so here is where our senior engineers already speak the language.

  • Neobanks & digital banks

    Core-adjacent ledgers, onboarding, and card programmes across EU passporting regimes.

  • Payment providers & PSPs

    Acquiring, issuing, reconciliation, and dispute flows — high volume, tight latency.

  • Lenders & BNPL

    Origination, servicing, and collections stacks with decisioning models regulators can inspect.

  • Trading & wealth platforms

    Retail brokerage, robo-advisors, and institutional tooling across equities, FX, and derivatives.

  • Crypto & Web3 fintech

    Exchanges, custody, on-chain analytics, and AI trading bots for CEX and DEX venues.

  • Insurance & insurtech

    Underwriting, policy admin, claims, and fraud — including AI insurance software for MGAs and carriers.

Compliance by design

Built for scrutiny, not just speed

In finance, an untraceable decision is a liability. We design systems where every action leaves an audit trail and every model can be explained. That holds up when an auditor asks how.

Sensitive data is isolated, encrypted, and minimised. Access is controlled and logged. The same senior engineers who write the code own its security posture end to end — the standard we bring to every fintech software development outsourcing engagement.

See our cloud and DevOps practice

How we deliver

From threat model to live ledger and live model

Fintech work runs on a security-first arc. You always know the next milestone, and the foundations are correct before features — or models — pile on.

  1. 01

    Threat model first

    Before a line of code, we map the data, the trust boundaries, and the regulatory surface. Security is a design input, never a late patch.

  2. 02

    Architect the ledger

    We get the money model right early. Double-entry accounting, immutable records, and reconciliation hooks baked into the foundation.

  3. 03

    Build and harden

    Senior engineers ship in the open with weekly demos. Penetration-minded reviews and automated checks run on every merge.

  4. 04

    Train, evaluate, deploy models

    Where the product uses ML, we version datasets, ship explainability, and gate releases on offline + online evaluation — never a black box in production.

  5. 05

    Launch and observe

    Production-grade from the first release. Metrics, alerting, and audit logging so you see issues before your customers or regulators do.

Common questions

What fintech teams ask first

  • Can you work within our compliance regime?

    Yes. We treat PSD2, KYC/AML, and PCI-style obligations as design constraints from the discovery sprint. Audit trails and access controls are built in, not bolted on. As an EU-based partner we sign standard DPAs and SCCs, and operate under GDPR by default.

  • How do you handle sensitive financial data?

    We isolate sensitive data, encrypt it in transit and at rest, and minimise where it lives. Our delivery runs to ISO 27001 standards and GDPR data-protection rules. Access is least-privilege, hardware-key MFA is standard, and every action is logged.

  • Do you build fraud detection in-house?

    We build custom fraud and risk models on your own transaction data, then wire them into the product. The models stay yours, monitored and retrained in production. This is the same practice we bring to machine learning development services for fintech engagements more broadly.

  • Are you a full AI fintech platform development company or just a dev shop?

    Both sides. EonTech runs software engineering, MLOps, cloud, and data engineering under one roof. That is what an AI fintech platform development company actually needs — you should not have to stitch a UI vendor to an ML vendor to a cloud vendor to ship one product.

  • What does an engagement with an AI banking software development company look like?

    We start with a two-to-three week discovery sprint that maps the product, the data, and the regulatory surface. You leave with a fixed first milestone, a threat model, and a written architecture brief. Build then runs in fortnightly sprints with live demos, until the first cohort of users is on the platform.

  • Do you build AI trading bots and AI crypto trading bots?

    Yes. As an AI trading bot development company and AI crypto trading bot development company we cover strategy design, backtesting, execution routers, risk controls, wallet key management, and observability. Crypto AI trading bot development company work includes CEX and DEX venues plus on-chain data pipelines.

  • Can you deliver AI trading software for regulated brokerages?

    Yes. As an AI trading software development company we deliver order management, execution logic, portfolio tooling, and market-data ingestion for regulated brokerages and wealth platforms. Explainability and audit trails are non-negotiable in that context and we architect for them from day one.

  • Do you offer AI fintech app development for mobile-first products?

    Yes. As an AI fintech app development company we ship iOS, Android, and React Native / Flutter apps with LLM assistants, personalisation, and KYC/fraud copilots. Product design, backend, ML, and mobile sit inside one team, so the UX and the models evolve together.

  • Can you help with fintech software development outsourcing on a nearshore basis?

    Fintech software development outsourcing is a core engagement model for us. As a Poland-based nearshore partner we run in CET with live overlap across the EU, UK, and US East Coast — collaborative hours, not overnight handoffs.

  • Do you build AI insurance software?

    Yes. As an AI insurance software development company we cover underwriting assistants, claims triage, document intelligence for policies, and fraud detection tuned to a specific book of business. We work with MGAs, carriers, and insurtech scale-ups across the EU.

  • How do you compare to a generic offshore vendor?

    You get senior engineers on live-overlap hours instead of junior handoffs across a midnight gap. Every deliverable is yours — code, models, infra — and there is no proprietary layer between you and the product. Pricing is transparent and monthly, without multi-year lock-ins.

  • What model shapes do you use for machine learning development services for fintech?

    Classical ML (gradient-boosted trees, logistic models) where explainability and regulator inspection matter most; deep learning for vision and NLP tasks; LLMs and RAG for assistants and document intelligence; hybrid rules + ML for AML and fraud. We match the shape to the risk profile, not the hype cycle.

Related services

Continue exploring EonTech

Build fintech that holds up

Tell us the product and the regime you operate in. We will scope a fixed first milestone in days, then start shipping secure, compliant software — with the AI layer already planned in.

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