— Platform Overview
Each module composable. Each output auditable. Each insight engineered for the next downturn — not the last one.
Dynamically shifting Value-at-Risk parameters by tracking raw central bank sentiments and global debt anomalies in real time. Regime-conditional GARCH with Cornish-Fisher tail adjustment across 47 regime variables.
Parametric · Historical · Monte Carlo · 47-variable regime overlay
Cross-asset correlation matrices recalibrated against generative discourse parsing of policymaker speech, earnings calls, and primary regulatory filings. Detects when narrative leads price.
Fine-tuned LLM (open-weight base) · 17 central-bank corpora · EN / ZH / JP / DE
Parses geopolitical developments and reflexivity signals to advise institutional fund rebalancing strategies. Trained on annotated crisis corpora from 1985 onward.
Forty-year annotated archive · Reflexivity decomposition
Transforms volatile global data streams into structured numerical tokens ready for high-frequency trading desk backtesting. Bridges qualitative reasoning into quantitative inputs your existing infrastructure can consume.
Aladdin · CRD · Eze · Bloomberg companion
Identifies structural regime shifts (reflation, stagflation, deleveraging, dollar squeeze) before they appear in conventional macro dashboards. Hidden Markov regime labels feed transformer-based within-regime state inference.
HMM ensemble · Analog overlay · Duration prior calibration
Quantifies contagion vectors across counterparty webs using textual disclosure and CDS-implied probabilities. Surfaces second-order exposure that direct counterparty review misses.
CDS-implied PD · Disclosure parser · Second-order graph traversal
— Infrastructure
To run massive multi-modal backtests and cross-market parameter updates simultaneously.
AI compute
GPUs
Model workloads
Regime Variables
Fast-Path First-Token Latency
— Methodology
Our methodology begins with a refusal: the refusal to accept that the next crisis will be priced from the last one. Linear models inherit the tails of yesterday's distribution. Our system does not.
Every signal flows through three stages. Ingest — primary documents in their original language, raw market microstructure, central bank communications without intermediary commentary. Reason — a fine-tuned LLM (open-weight base, annotated crisis-era texts) evaluates whether what is being said today diverges from what historically preceded a given outcome. Quantify — divergence becomes a scalar signal with calibrated confidence interval, ready to enter your existing risk plumbing.
Production output is auditable. Every reasoning chain carries provenance — source document, intermediate inference step, confidence interval. This is not a black box. It is a deterministic pipeline you can defend to a regulator.
— Integrations
Sandbox time-to-first-signal: 11 business days. Production integration: 3–6 months.
FIX 5.0
Gateway adapters
REST
JSON API · OAuth 2
BBG
Terminal plugin
ALADDIN
Native connector
CRD
Charles River
EZE
Investment Suite
SFTP
Batch delivery
CUSTOM
Bespoke Q-system