01
FinTech
Real-time payments, fraud intelligence, and the data fabric behind embedded finance.
From owned-weights models to enterprise data platforms, we engineer the systems your business depends on.
Affordable AI, built on a reliable data foundation that is built for the way you work.
What we do
Build, govern and operationalise AI that delivers measurable business value.
Industries we serve
Mission-critical AI and data engineering for the sectors where production-grade delivery is hardest.
01
Real-time payments, fraud intelligence, and the data fabric behind embedded finance.
02
Core modernisation, credit-risk AI, and the digital layer that sits on top.
03
Claims, underwriting and compliance AI that holds up under regulator scrutiny.
04
Product engineering, MLOps at scale, and the platforms that ship to your customers.
Why Infinity Quest
Five reasons enterprises across the UK and Europe choose Infinity Quest over generic IT consultancies.
Approach · 01 / 05
Architected to eliminate waste, reduce complexity, and maximise performance at every stage.
Approach · 02 / 05
Enterprise-grade delivery you can depend on, from pilot to full production, with no compromise.
Approach · 03 / 05
Outcomes-focused pricing. Maximum impact from your data and AI investments, without runaway costs.
Approach · 04 / 05
We become an extension of your team, deeply invested in your success and delivery outcomes.
Approach · 05 / 05
Deep expertise across FinTech, Banking, Insurance and Technology: your regulators, your data, your challenges.
Selected delivery across the UK and Europe.
FinTech
Challenge
Real-time fraud signal was siloed across acquiring, settlement and dispute systems. Detection lagged by hours.
Solution
Unified event-driven data layer with AI/ML fraud detection scoring in-flight transactions.
62%
fewer fraud incidents
within 6 months of go-live
Banking
Challenge
Legacy core banking blocked product velocity. Every release window cost a weekend of operations risk.
Solution
Strangler-fig modernisation, cloud-native rebuild of settlement, and DevSecOps practice handed back.
40%
lower run-rate cost
3× faster deployment cadence
Insurance
Challenge
Manual claims processing averaged 14 days. Customer NPS was a chronic underperformer for the brand.
Solution
AI claims triage agents on private-cloud LLMs with full auditability against the policy schedule.
<48hr
claims processing time
down from 14+ days
Technology
Challenge
ML models died on the way to production. Six PoCs in two years; none in front of customers.
Solution
Owned MLOps platform on the existing cloud footprint with eval, observability and rollback baked in.
5
AI models in production
in under 8 weeks