The intelligence infrastructure under regulated decisions.
We build the normalisation, detection and inference layer that sits beneath audit, pensions, remediation, security and AI operations. One canonical core. Every regulated domain.
One intelligence layer. Every regulated domain.
Most review processes compare two snapshots and hope the differences are the whole story. Our research starts from a different premise: your data is a signal moving through time, and the statistical methods that work for the hardest quantitative domains — quantitative finance, large-scale forecasting — work here too. Oversight-C is that research, deployed.
Any source, one canonical view
Ledgers, member records, case files, statements — messy real-world data is mapped to a single consistent structure, with every transformation logged and reversible.
Anomalies, breaks and chains
Statistical detection finds outliers, structural changes and the knock-on effects between related fields — producing review points a professional can act on, with the reasoning attached.
The Flywheel: exceptional on day one, compounding from day two
The platform arrives benchmarked against senior practitioner review. Then the Flywheel takes over: every resolution your team makes feeds back into detection, so an already validated system keeps compounding — tuned ever more precisely to your clients, your schemes, your book.
Built for professionals who sign their name to the result.
Figures below are from live commercial deployments of Oversight-A (accountancy) and Oversight-P (pensions), benchmarked against independent senior practitioner review — not synthetic demos.
Five domains. One platform.
The same intelligence layer, specialised for the regulatory reality of each profession.
Accountancy
Year-end review intelligence for FRS 102 / FRS 105 engagements. In live commercial use today.
Pensions
Member data quality, scheme validation and buy-in / buy-out readiness for DB administrators and trustees.
Financial Services
Remediation case intelligence aligned to current FCA redress frameworks, at portfolio scale.
AI Inference Efficiency
Make the AI you already pay for go further. Intelligent inference efficiency across your LLM providers — with a contractual savings guarantee and a verifiable per-call ledger. Learn more →
Clinical Data
Early-warning intelligence for high-frequency clinical time series. In active research validation.
Adaptive Security
Security that trains against itself — continuously hardened through an adversarial arena, learning faster than threats evolve.