01
FinTech
Real-time payments, fraud intelligence, and the data fabric behind embedded finance.
AI & Data, engineered to scale
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
We take AI and data systems from first principles to production, to the day your team runs them without us, and every step in between.
Applied AI
Build, govern and operationalise AI that delivers measurable business value.
- AI & ML model development
- AI security and governance
- Enterprise AI agents
- AI/ML Ops
Industries we serve
Built for the world's data-intensive industries.
Mission-critical AI and data engineering for the sectors where production-grade delivery is hardest.
02
Banking
Core modernisation, credit-risk AI, and the digital layer that sits on top.
03
Insurance
Claims, underwriting and compliance AI that holds up under regulator scrutiny.
04
Technology
Product engineering, MLOps at scale, and the platforms that ship to your customers.
05
Oil & Gas
Near real-time energy analytics, and the low-latency platforms that make complex data usable.
06
Utilities
Forecasting, asset intelligence and natural-language access across power, water and networks.
Why Infinity Quest
We don't just build technology. We engineer outcomes.
Five reasons enterprises across the UK and Europe choose Infinity Quest over generic IT consultancies.
Approach · 01 / 05
Efficient by design.
Architected to eliminate waste, reduce complexity, and maximise performance at every stage.
Approach · 02 / 05
Reliable at every scale.
Enterprise-grade delivery you can depend on, from pilot to full production, with no compromise.
Approach · 03 / 05
Cost-effective by default.
Outcomes-focused pricing. Maximum impact from your data and AI investments, without runaway costs.
Approach · 04 / 05
Partnership, not handoff.
We become an extension of your team, deeply invested in your success and delivery outcomes.
Approach · 05 / 05
Built on industry depth.
Deep expertise across FinTech, Banking, Insurance and Technology: your regulators, your data, your challenges.
Recent client work.
Selected delivery across the UK and Europe.
FinTech
World-Leading Financial Information Company
Challenge
Existing tools couldn't keep pace with energy-sector clients. No low-latency engine, no enterprise RBAC, no room to scale.
Solution
Multi-engine data stack (Databricks, Snowflake, SingleStore) powering “Energy Studio”, a fully embedded BI application with near real-time dashboards and role-based access.
Near real-time
dashboards at scale
across a validated 5-way engine POC
Banking
Leading UK-Based Global Bank
Challenge
Teradata's end-of-life forced a high-stakes migration of vast data volumes and business logic without disrupting daily operations.
Solution
Tool-based, automated migration converting Teradata code to Snowflake-native, refactoring SAS workflows, with rigorous validation to protect business continuity.
2 business units
migrated on deadline
ahead of Teradata's end-of-life
Banking
Leading Financial Organisation, UK
Challenge
Fragmented, siloed BI. Dashboards, metadata, and data quality scattered across the business kept decision-making reactive instead of real-time.
Solution
“AskNeo Intelligence”, a unified platform combining BI, metadata, and data quality behind a conversational AI interface, giving teams real-time, self-service insight.
Single platform
replacing fragmented reporting
unifying BI, metadata, and data quality
Utilities
Leading US Power Generation & Distribution Utility
Challenge
Every morning, leaders manually worked through 200+ Tableau reports before a single dispatch decision could be made.
Solution
AskNeo layered over the existing Snowflake/Tableau estate, vectorising metadata into Pinecone, mapping natural language questions to the right dashboard, inheriting RBAC without a rebuild.
200+ reports
unified into one interface
zero permissions rebuilt
Technology
Leading US Oncology Virtual Care Provider
Challenge
Patients waited 7 to 8 hours for symptom triage while care teams struggled with rising volumes and systems that couldn't understand medical language or context.
Solution
A GenAI virtual care assistant (OpenAI/LLMs) running clinically aware triage conversations, auto-generating SBAR summaries for nurse review and escalating only when medically necessary.
7hrs → <30min
symptom triage response time
plus 8,000 nursing hours saved annually per oncologist
Utilities
Leading UK Water & Sewerage Utility
Challenge
Missed flooding targets triggered significant regulatory penalties every year, with no reliable way to forecast risk across network, weather, and maintenance factors.
Solution
A Prophet-based forecasting model combined with segmentation analysis, giving maintenance teams actionable, prioritised recommendations to shift from reactive to preventive management.
£15,000 earned
on external flooding ODI
turning penalties into rewards