Quant-grade signals for risk under uncertainty.
MAQE turns imperfect inputs into explainable indicators across financial, ESG, supply-chain, cold-chain, and biopharma — designed for decision makers and risk teams.
Capabilities
Signals that stay useful when the data is noisy, sparse, or messy — with decision-ready outputs.
Instability & Fragility
Detect stress build-up and regime shifts before classic metrics react.
Tail & Extreme Risk
Identify fat-tail behavior and extreme-event coupling beyond normality assumptions.
Nonlinear Dependence
Surface structure that correlation misses — including asymmetric and tail dependence.
Use cases (multi-domain)
One engine, multiple lenses — financial, ESG, supply chain, cold chain, and biopharma. Below is a safe featured example you can share without leaking internals.
Scenario appendix (domain-aware)
Ranked stress scenarios with concise explanations for each driver.
Robust to imperfect data
Works with missing values, partial histories, and heterogeneous features.
Decision-ready outputs
Executive PDF + appendix, plus audit-friendly metadata cues for stakeholders.
Trust
Built to be auditable and explainable: clear warnings, reproducible runs, and concise rationale.
Pricing
Simple and direct: one fixed-scope pack, plus an enterprise option for custom deployments.
Decision Pack (fixed scope)
- Tail risk & extremes signals
- Nonlinear dependence summary
- Instability / fragility cues
- Scenario stress appendix
Enterprise / Custom
- Custom inputs & workflows
- Multi-domain deployments (finance / supply chain / ESG)
- Security & compliance alignment
- Dedicated support
Contact
Tell us your use case and preferred output. We’ll reply with next steps.
Email: founder@maqe-tech.xyz
Or send a message with: dataset type, timeframe, and what decision you need to make.