Quantitative products, agents, platforms, and Connect APIs are open for approved institutional partners.
Platform
The AI operating layer for financial institutions.
QSentia builds, deploys, governs, and monitors the components institutions normally have to stitch together themselves: quantitative platform software, agent evidence, live telemetry, controlled workflows, API access, partner onboarding, and operating governance.
What the platform normalizes
Reusable platform layer
Client portals, evidence rooms, internal dashboards, API delivery, and monitoring built from shared components.
Agent and workflow governance
Backtests, live telemetry, risk overlays, approval states, source records, and deployment gates.
Institutional delivery
Connect APIs, customer entitlements, usage controls, webhooks, and QSentia-operated review workflows.
Platform layers
One control plane for institutional AI and quant delivery.
Client platform layer
QSentia can package institution-specific quantitative surfaces for agent diligence, signal review, portfolio analytics, risk overlays, evidence rooms, APIs, monitoring, and operating workflows.
Agent evidence room
Published and custom agent candidates carry metrics, charts, orders, trades, positions, drawdowns, and imported run evidence.
Live telemetry trace
Portfolio performance, broker status, account baselines, orders, fills, and trace logs remain distinct from backtest evidence.
Controlled quant workflows
Research, risk, monitoring, and operations workflows can be configured around agent evidence, approval states, and audit records.
Risk Studio and custom candidates
Customer mandates can generate private risk overlays and custom candidate records without mutating original production agents.
Connect and commercial controls
Scoped API keys, entitlements, usage logs, onboarding review, plan state, and partner delivery stay under administrative control.
Architecture view
Built as a control plane, not a static performance deck.
The platform is designed so customer-facing pages can show evidence, agent behavior, API state, and workflow status while sensitive credentials, deployment state, and approval controls remain server-side.
Client surface
Institutional portals, agent pages, Connect dashboards, Risk Studio, reports, and authenticated workspaces.
Evidence and agent services
Backtest imports, agent metadata, custom candidates, portfolio performance APIs, and log-specific detail endpoints.
Workflow services
Controlled research, risk, and monitoring workflows, data-source adapters, webhook delivery, and approval records.
Operating controls
Access overrides, customer entitlements, agent publication state, API usage, broker telemetry, and visibility controls.
Investor trust
The important thing is what the platform refuses to blur.
Backtests and live paper trading are shown as different data products.
Unavailable fields appear as pending or unavailable instead of silent fallbacks.
Broker credentials remain server-side and agent/account specific.
User-facing access can be gated without changing agent execution infrastructure.