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CUSTOM AI DEVELOPMENT · FINTECH

AI-POWERED FINTECH SOLUTIONS

Reduce fraud and risk, and make faster, better-informed financial decisions.

We build bespoke AI for financial services: anomaly detection that spots fraudulent transactions in real time, machine learning for credit risk scoring, predictive models for market forecasting, and automation for reporting and compliance monitoring, all built around your data and systems.

Hand holding a smartphone with fintech data overlays

Device intelligence in production: Persistent Device ID API

Proprietary neural networks and genetic algorithms

Deployment on cloud, on-premise or edge

THE PROBLEM

WHERE FINANCIAL TEAMS LOSE MONEY AND TIME

Financial institutions hold rich data, but fraud, risk and compliance work is still slow and reactive.

EVOLVING FRAUD

Fraud patterns change faster than static rules can be updated.

RISK DECISIONS

Credit and risk assessments rely on limited signals and manual review.

COMPLIANCE LOAD

Reporting and regulatory monitoring absorb skilled people’s time.

ACCOUNT ABUSE

Multi-accounting and promotion abuse hide behind new sign-ups and sessions.

WHAT WE BUILD

AI FOR FINANCIAL SERVICES

Bespoke models for the decisions that drive risk, revenue and compliance.

FRAUD DETECTION & RISK MITIGATION

Anomaly detection that identifies fraudulent transactions in real time, with predictive analytics to assess potential risks.

CREDIT RISK ASSESSMENT & SCORING

Machine learning that analyses customer data to provide more accurate credit scoring and risk evaluation.

MARKET FORECASTING

Predictive models that analyse market trends to support investment and trading strategies while managing risk.

PERSONALISED SERVICES

Personalised recommendations, plus AI chatbots and virtual assistants for customer support and guidance.

REPORTING & COMPLIANCE AUTOMATION

Automated financial reporting and compliance monitoring that helps teams adapt to regulatory change.

DEVICE & ACCOUNT INTELLIGENCE

Persistent device identification and real-time risk signals to detect multi-accounting and abuse.

Have a fraud, risk or compliance problem in mind? Tell us about it.

PRIME AI PRODUCTS

START WITH OUR FRAUD AND ABUSE PRODUCTS

For online fraud and abuse, our production products give you device and customer risk signals from day one. Custom models can then build on them.

Device intelligence: a persistent device ID and real-time risk signals for every visitor, used to stop refund abuse, multi-accounting and promo abuse.

Identifies serial returners, wardrobers and bracketers hiding behind anonymous guest checkouts, the policy abuse that standard card-fraud tools miss.

Custom work is built by the same team, on the same proprietary engine (neural networks, image processing and genetic algorithms), so you can start with a product and extend it with bespoke AI.

HOW WE WORK

FROM FIRST CALL TO PRODUCTION

01

FREE CONSULTATION

Explain your challenge, or just explore how AI could streamline and enhance your current business practices. No commitment.

02

DISCOVERY & SCOPING

We review your data, systems and success criteria, then propose an approach, timeline and budget range.

03

PROOF OF CONCEPT

A focused prototype on your own data, so you can judge accuracy and value before scaling.

04

PRODUCTION & MLOps

Deployment to cloud, on-premise or edge, with monitoring, retraining and ongoing support.

FAQ

FINTECH AI FAQ

Anomaly detection models learn normal transaction and account behaviour from your data and flag suspicious activity in real time. Device intelligence, such as our Persistent Device ID API, adds signals for multi-accounting and abuse.

Machine learning can analyse a wider range of customer data than traditional scorecards to support more accurate credit scoring and risk evaluation. The model is designed and validated on your own data.

Yes. Models are built around your own data. During discovery and scoping we review what data you have, its quality and format, and whether more is needed before committing to an approach.

Yes. We deploy models across cloud, on-premise or edge environments, with CI/CD, version control, monitoring, drift detection and automated retraining to keep them accurate over time.

Every project is scoped individually, based on the problem, the data available and the accuracy and integration required. We usually start with a focused proof of concept on your own data, and you get an approach, timeline and budget range before any commitment.

You explain your challenge, or simply explore how AI could streamline and enhance your current business practices. We’ll tell you honestly whether AI is the right tool and, if it is, what a sensible first step looks like. There’s no commitment.

TELL US ABOUT YOUR FRAUD OR RISK CHALLENGE

Book a free consultation. We will tell you honestly whether AI is the right tool and, if it is, what a sensible first step looks like.

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