Evidence in financial & legal.
Governed reasoning and regulatory-ready decisioning for legal, credit and compliance workflows — labelled by its actual evidence status.
Governed litigation analysis
Complaint-to-strategy reasoning across dense documentary evidence, with a reviewable audit trail suited to adversarial and regulated settings. Agxio⋅Intelligence builds the underlying document-reasoning models directly from case material, while Agxio⋅Cognition turns model output into source-traceable, review-ready legal argument.
Regulatory-ready credit decisioning
Agxio⋅Intelligence built a credit loan-decisioning model that met regulatory requirements in hours rather than weeks or months, demonstrated by Agxio at more than ten times the output of a three-person bank analyst team, with Agxio⋅Cognition generating the source-traceable rationale behind every decision for regulatory review.
Conduct-of-business horizon scanning
Continuous monitoring of conduct-of-business regulatory change — ingesting regulator publications and rule updates, classifying and mapping each change against a firm’s existing policies and controls, and surfacing the gaps that need action. Agxio⋅Intelligence performs the underlying change-detection and classification modelling directly from regulatory text, while Agxio⋅Cognition turns matches into a source-traceable, review-ready impact assessment.
Critical analysis of the FCA Rulebook
A structured, critical analysis of the FCA Handbook and Rulebook — parsing rule modules, cross-referencing obligations across sourcebooks, and identifying gaps between stated requirements and firm-level policy, developed alongside engagement with the FCA’s Supercharged Academy. Agxio⋅Intelligence performs the semantic parsing and cross-referencing of rule text at scale, while Agxio⋅Cognition produces the source-traceable, review-ready analysis behind every identified obligation.
Trade surveillance monitoring
Anomaly and pattern-recognition models applied across trade and order-book data to flag potential market-abuse patterns — including layering, spoofing and wash-trade signatures — for analyst review. Agxio⋅Intelligence builds the underlying anomaly-detection and sequence models directly from trade data, while Agxio⋅Cognition turns flagged patterns into source-traceable, analyst-ready surveillance alerts.
Option pricing with neural networks
Neural-network option-pricing models trained to learn pricing functions and implied-volatility surfaces directly from market data, extending beyond the constraining assumptions of classical closed-form models such as Black–Scholes. Agxio⋅Intelligence builds and validates the underlying pricing networks, while Agxio⋅Cognition documents model behaviour and assumptions in a source-traceable, review-ready form.
Volatility measurement across dynamic markets
Sequence-model volatility forecasting — benchmarked against classical GARCH-family approaches — engineered to recalibrate quickly as market regimes shift, giving a more responsive read on risk in fast-moving, dynamic markets. Agxio⋅Intelligence and Agxio⋅TimeSeries build the underlying forecasting models directly from market time-series data, while Agxio⋅Cognition turns model output into a source-traceable risk read-out.
We label every result by its actual status — historical demonstration, completed programme, pilot or evaluation, beta, product capability, or live deployment — and update labels as work progresses. We do not present a benchmark result as a production outcome, a beta as a finished product, or a pilot as a deployment.
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We’re glad to walk through methodology, data provenance and evaluation design for any case here.
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