Hedge Funds
Evaluate agent intelligence, portfolio-aware risk, and shadow decisions before expanding into live operating workflows.
Review agentsQuantitative products, agents, platforms, and Connect APIs are open for approved institutional partners.
Institutional solutions
QSentia helps investment teams move from AI signals to portfolio-aware decisions, with evidence, approvals, controls, and distribution built into the path.
QSentia path
Entry points
Different institutions enter through different needs, but each path uses the same governed decision foundation: evidence first, capital authority later.
Evaluate agent intelligence, portfolio-aware risk, and shadow decisions before expanding into live operating workflows.
Review agentsReview governed investment decisions, evidence, and portfolio impact before approving a new allocation process.
Request accessConnect signals, mandate controls, approvals, and decision history across managed portfolios and advisory workflows.
Open Risk StudioDistribute governed intelligence through partner portals, customer-facing journeys, internal systems, and Connect APIs.
Explore ConnectDecision lifecycle
Portfolio state, exposure, positions, and market context enter the decision before signal review.
QSentia agents generate and evaluate investment signals with evidence attached.
Mandates, limits, portfolio risk, and changing market conditions shape the proposed action.
Institutions evaluate what QSentia would have done before giving the system capital authority.
Signals, risk decisions, approvals, exceptions, and outcomes remain traceable.
Approved intelligence flows into institutional portals, dashboards, systems, and workflows.
Solution paths
The public product surfaces prove the platform, while institutional deployments remain governed by entitlement, risk, approval, security, and evidence controls.
Diligence
Give investment teams a controlled place to review agent thesis, signal history, backtests, paper telemetry, and operating state.
Risk
Test agent-specific risk overlays, mandate constraints, and portfolio limits before any production allocation discussion.
Distribution
Deliver normalized model output, evidence, telemetry, approvals, and signed updates into institutional systems.
Delivery process
01
Define the institution, portfolio context, data boundaries, agent universe, and approval path.
02
Assemble reusable platform components, risk controls, Connect delivery, and evidence surfaces.
03
Run paper evidence, shadow proof, review gates, telemetry checks, and decision-record validation.
04
Launch the approved route through portal, report, API, workflow, or private institutional deployment.