AI-native

AI that investigates, explains and orchestrates—with boundaries.

QuantPilot treats AI as a governed decision-support layer. Agents can research, compare, challenge and prepare actions while policies determine what they are allowed to do.

Capability statusCurrent build
  • Markets
    Preview
  • Portfolio
    Available
  • Risk
    Available
  • Scenarios
    Available
  • Opportunities
    Planned
  • Predictions
    Planned

Market data is not live yet, and QuantPilot does not place trades. See each area for what exists today.

Research agents

Investigate market, fundamental, macro and news context using explicit tools and evidence.

Debate & challenge

Allow independent analytical roles to challenge a thesis before it reaches a decision surface.

Model router

Route workloads to fit-for-purpose models with tenant, budget and policy controls.

Decision evidence

Retain the evidence, assumptions, model identity and policy context behind important AI outputs.

Agent permissions

Give agents scoped capabilities, budgets, risk limits and approval requirements.

Learning loop

Track predictions and outcomes so calibration, drift and model performance can be measured.

AI should increase decision quality—not certainty.

Explore how QuantPilot can fit your investment, research or enterprise workflow.

Request a demo