Machia Artis provides an institutional AI trading platform that separates alpha generation and risk oversight into two independent engines: an AI Signal Engine for identifying opportunities and an AI Risk Engine that enforces hard‑coded drawdown limits and systematic risk controls. The system logs every signal, risk decision, and execution with full explainability, offering version‑controlled strategies, real‑time telemetry, and audit‑ready transparency for hedge funds, asset managers, and proprietary trading desks.
Funding
Funding not disclosed
Founders
Product
Problem
Institutional traders often rely on opaque algorithmic systems that either chase market opportunities without adequate risk controls or impose rigid risk limits that suppress alpha generation. This lack of separation between signal generation and risk oversight can lead to uncontrolled drawdowns, limited transparency, and difficulty meeting compliance requirements.
Solution
Machia Artis offers a dual‑AI architecture that decouples the AI Signal Engine, which identifies trading opportunities, from an independent AI Risk Engine that enforces strict, non‑discretionary risk limits. Each trade decision, risk assessment, and execution is logged with full explainability, enabling version‑controlled strategies and real‑time telemetry for institutional oversight. The system enforces hard‑coded drawdown caps and graceful degradation under stress, preserving capital while allowing growth within defined boundaries. Transparency is built into the platform, providing auditors and compliance teams with complete visibility into both alpha generation and risk governance.
Target Audience
Primary customers are institutional investors such as hedge funds, asset managers, and proprietary trading desks that require AI‑driven alpha generation combined with rigorous, auditable risk management.
Features
- AI Signal Engine that generates independent trading signals using proprietary machine‑learning models
- Separate AI Risk Engine that applies systematic, non‑discretionary risk controls, including hard‑coded drawdown limits
- Full end‑to‑end logging and explainability for every signal, risk decision, and execution
- Version‑controlled strategy management with real‑time telemetry dashboards
- Built‑in stress testing and synthetic scenario handling to maintain graceful performance during tail‑risk events
- Transparent API and audit trails to satisfy institutional compliance and oversight requirements