Financial Services
Applied AI for trading, compliance, and back-office automation.
Engineering and applied-AI partner to financial institutions across the UK and GCC. Market intelligence, compliance AI, AI-weighted due diligence, and modernisation of regulated platforms.
Sector challenges
Models and systems that have to satisfy UKGC, ADGM, and DIFC supervisors, and the FCA where a client is regulated by it.
Latency-sensitive market data fused with unstructured text from filings, news, and chat.
Legacy core systems that resist change but anchor every product roadmap.
Fraud, AML, and dispute workloads where false negatives have direct cost.
How we apply our capabilities
Market intelligence agents
Signal generation from filings, news, and alternative data with explainable rationales.
AI Automation & AgentsCompliance and surveillance AI
RegTech-grade compliance review with audit trails, human escalation, and explainability.
AI Automation & AgentsDue-diligence confidence reports
Submitted information cross-checked against open sources, with a weighted AI confidence report on every claim.
AI Automation & AgentsPlatform modernisation
Modernisation of core platforms with strangler-fig migrations and AI-augmented operations.
Solution ArchitectureCase studies
Case studies in Financial Services
Anonymised. The architectures and outcomes are what we can speak to publicly.
PCI DSS Level 1 payments gateway and cashier aggregating 100+ providers
Our second-largest system: a payments gateway and cashier that aggregates more than 100 payment providers, including Paysafe, Nuvei, Rapyd, TrueLayer, and Bolt, behind one API, with routing rules, closed-loop payouts, and hosted cashier surfaces, certified to PCI DSS Level 1.
On-premise compliance AI on open-source LLMs
Fully air-gapped retrieval and reasoning system over a financial institution's policy and case corpus. No data leaves the estate; every decision is auditable.
AI confidence reports for compliance checks
Information submitted to a UK compliance company is cross-checked against open sources, and AI produces a weighted confidence report on every claim.
Cloud cost optimisation agents
FinOps agents that detect waste, propose remediations, and execute pre-approved changes under guardrails across AWS, Azure, and GCP.
Authenticated MCP server across a production estate
A single authenticated Model Context Protocol (MCP) server exposing an operator's infrastructure, web application firewall, logging, and backend APIs to any AI client, so agents can pull data from every platform through one governed interface.
Regulatory and compliance framing
- UK Gambling Commission (UKGC) licence conditions and codes of practice
- FCA conduct and operational-resilience expectations where applicable
- ADGM and DIFC frameworks for financial institutions in the UAE
- GDPR and UAE PDPL for personal-data handling
- EU AI Act readiness for high-risk use cases
Insights
Related insights
Field notes from engineering practice in this sector.
Market intelligence agents: from document firehose to explainable signals
Research and trading desks drown in filings, news, and alternative data. Multi-agent systems can turn that into ranked, cited signals, but only if explainability is designed in from the first line. Unexplained scores do not survive compliance.
Read articleDesigning AI compliance agents for regulated industries
Compliance AI fails when it sounds confident and lacks evidence. The architectures that work in regulated industries are built around citations, audit trails, and human authority, not model-of-the-month leaderboards.
Read articleAI cost optimisation for cloud workloads: an agent-led approach
Cloud cost growth keeps outpacing engineering capacity to manage it. Agentic FinOps closes the gap by combining recommendation agents, guarded execution, and the chat-ops loops engineers actually use.
Read articleBuilding in financial services? Let's talk.
A Discovery Sprint is the fastest way to a credible, scoped proposal, usually two to four weeks.