Spitfire

AI Native

Spitfire embeds AI into the operating system itself through an Intent → Context → Reasoning → Simulation → Control → Action → Evidence → Learning loop.

Research Agent

Synthesizes filings, transcripts, market data, and research notes into investable insight with citations.

Portfolio Agent

Translates investment views into sizing, rebalancing, hedge proposals, and scenario-aware alternatives.

Risk Agent

Explains risk movements, concentration, and stress outcomes with explicit drivers and controls.

Execution Agent

Supports liquidity assessment, slicing, venue selection, and execution quality interpretation.

Operations Agent

Investigates breaks, assembles evidence, and drafts operational resolution actions.

Compliance + Model Guardian

Enforces policy controls, approval flows, model inventory, drift monitoring, and release discipline.

AI Action Governance Framework

Spitfire classifies AI-supported actions by operational risk and maps each class to explicit approval and control requirements.

Action CategoryControl Standard
Informational and Explanatory OutputsNo pre-approval required
Recommendations and Draft PreparationPortfolio Manager or Trader approval required
Execution ActionsPolicy validation and explicit human authorization required
Model or Valuation OverridesDual authorization and immutable audit evidence required
Learning and Model AdaptationModel governance and validation workflow required