The platform, specialised.
Every product below runs on the same Oversight-C core. Choose the domain. The intelligence is shared.
Accountancy Review Intelligence
Year end review intelligence for UK accountancy practice. Ingests trial balances, nominal ledgers and working papers from any source, normalises through Oversight-C, and produces partner grade review points aligned to FRS 102 and CA2006, each with conviction score, regulatory reference and recommended action.
- Semantic Mapping Editor auto infers canonical field roles from any working papers format; confirm or override each suggestion
- Regulatory rule packs: FRS 102, FRS 105, CA2006, applied dynamically, not hardcoded
- Qualitative detection: disclosures, related parties, accounting policies, consistency
- Flywheel active learning loop: every engagement improves detection accuracy
- Dual run pilot model: run alongside manual review to build trust before transition
- One click engagement export with partner sign off workflow
Pension Data Intelligence
Member data quality and scheme validation for DB administrators, trustees and insurers, built for the realities of GMP work, de-risking transactions and TPR/PASA expectations. Ingests member records from any administration platform in any format and maps to a validated canonical structure.
- Schema mapping absorbs decades of inconsistent admin formats: Profund, Altair, Heywood and bespoke systems
- Anomaly detection across salary, service history, dates, benefit calculations and GMP records
- Buy-in and buy-out data readiness scoring: arrive at insurer due diligence already knowing your data
- TPR and PASA expectation alignment built into every validation run
- Continuous validation: data readiness as an ongoing state, not a pre transaction project
- Trustee board and insurer ready reporting with full evidence trail
Financial Remediation Intelligence
Case level intelligence for redress and remediation programmes, aligned to current FCA frameworks. Built for portfolios where every case needs defensible, consistent treatment.
- Motor Finance DCA: FCA PS24/1, Hopcraft v Close Brothers. Commission pattern detection, detriment calculation, redress quantification
- Interest Rate Mis-selling: FCA DISP, FSMA 2000 s138D. Systemic pattern detection across adviser portfolios
- KYC/AML Remediation: MLR 2017, JMLSG, FCA FG17/6. Risk re-scoring and CDD gap analysis
- Consumer Duty Fair Value: FCA PS22/9, PRIN 2A. Outcome testing and value assessment
- CASS Reconciliation: FCA CASS 7, SUP 3. Client asset discrepancy detection
- Hurst exponent, Shannon entropy and BOCPD regime detection across portfolio time series
- Evidence PDF generation suitable for skilled person and regulator review
Clinical Data Intelligence
Early warning deterioration intelligence for high frequency clinical time series. In active research validation against large public critical care datasets. Oversight-C normalised and mapped 200 synthetic ICU patients across four clinical archetypes to the 15 field canonical schema, the same core used across all commercial verticals.
- Deterioration signal detection in continuous vital sign and monitoring data
- Synthetic data generation for model training and validation without patient data exposure
- Regime change detection: identifies when a patient's physiological state transitions
- Full explainability on every alert: clinical teams see why, not just what
- Built on the same Oversight-C canonical core as all commercial products
- Partnership enquiries from clinical research groups and NHS trusts welcome
Adaptive Security Intelligence
Conventional security tooling defends against yesterday's attacks with static rules. Argus watches; Aegis defends. A paired system built on novel neural detection that turns the model on its head: instead of waiting for threats to teach it, it trains continuously against its own adversary. A virtual red team attacks; the blue team defends; every engagement feeds the Flywheel.
- Continuous adversarial training: an always on red team / blue team arena hardens detection around the clock
- Novel neural detection architectures, built in house, not repackaged signature engines
- Flywheel learning: every attack scenario, real or simulated, compounds the defence
- Conviction scored, explainable alerts: your security team sees why, not just what
The Arena: security that trains against itself
A multi agent reinforcement learning environment where autonomous red team agents attack and blue team agents defend, continuously. Every round produces new tactics, new defences and new training signal. It is available on its own, for security teams and researchers who want a live proving ground for their own detection models.
- Autonomous red versus blue multi agent reinforcement learning, running around the clock
- Continuously generates novel attack and defence strategies, not a fixed scenario library
- Benchmark and harden your own models against an adversary that never stops improving
Live threat intelligence, operationalised
Newly disclosed vulnerabilities are ingested as they are published, translated into live attack scenarios inside the Arena, and used to test and harden defences.
- Continuous ingestion of newly published vulnerabilities
- Automatic translation of disclosures into testable attack scenarios
- Defences hardened against new threats as they emerge
Lossless token reduction for LLM developers.
Athena sits in front of your LLM calls. It cleans up whitespace and markup, collapses repeated lines, removes exact duplicate blocks, and re-encodes JSON arrays, timestamped logs and markdown tables into compact forms, then checks that every value is still present. You bring your own provider key. Savings are measured on your content, not promised.
- Free tool: paste a sample and see your own measured saving
- Per request usage ledger of tokens in versus tokens out
- Output is deterministic and prefix stable, so provider prompt caching keeps working
- Plans from £29.99 a month, no VAT, cancel any time
The platform layer, available directly.
The capabilities underneath our domain products are products in their own right, for organisations building intelligence into their own operations.
Forecasting as a service
Forward looking projections over any structured time series, with full Monte Carlo confidence bands rather than single point guesses. Know the range, not just the number, and know when the data itself says the forecast can no longer be trusted.
- Probabilistic forecasts with upper and lower confidence bands
- Regime change awareness: alerts when the underlying behaviour shifts
- Anomaly flagging integrated into every projection
Autonomous agent workforces
Governed teams of AI agents that run defined business functions continuously, research, monitoring, market intelligence, outreach preparation, with every action logged and every output reviewable before it leaves the building.
- Pre built crews for research, competitive intelligence and growth operations
- Runs around the clock under your governance rules
- Complete activity audit trail: agents are accountable by design
Connects to your stack natively
The platform speaks Model Context Protocol, the open standard for connecting AI systems to tools and data. Your existing systems become capabilities the intelligence layer can use, without bespoke integration projects.
- Standards based connection to internal tools and data sources
- Web research, document processing and search out of the box
- New capabilities added by configuration, not engineering