Quantitative Products, Agents & Platforms
Finance-specific quantitative products and platforms for agent evidence, signal delivery, portfolio and risk analytics, backtesting, monitoring, APIs, controlled quant workflows, and institutional review.
Quantitative products, agents, platforms, and Connect APIs are open for approved institutional partners.
QSentia institutional AI infrastructure
QSentia builds, deploys, governs, and monitors AI/quant systems for hedge funds, investment managers, family offices, brokers, exchanges, and wealth platforms. The agent marketplace is the proof layer: backtests, paper telemetry, broker status, logs, APIs, and approval gates before production use.
Build faster
Institution-specific AI systems built from reusable QSentia infrastructure
Prove before use
Backtests, orders, trades, telemetry, and broker status stay inspectable
Distribute safely
Approved partners consume agent outputs through controlled API endpoints
Live agents
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Published strategies currently visible with live or allocation-ready status.
Latest telemetry
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Waiting for the first telemetry timestamp from the agent API.
Live paper accounts
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Distinct broker paper accounts mapped to visible QSentia agents.
Brokers online
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Broker health is calculated from configured connectivity checks and fresh paper evidence.
Live evidence rows
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Live order, signal, and broker snapshot evidence reported by broker-connected paper accounts.
Backtest/evidence rows
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Imported agent evidence available across backtests, traces, and telemetry panels.
Start here
QSentia is organized around four institutional paths: evaluate the live agent universe, connect to agent outputs by API, test private risk mandates, or build a governed AI/quant system with QSentia.
Evaluate agents
Review live paper telemetry, backtest evidence, broker status, orders, trades, and trace logs before deeper diligence.
View agentsAccess outputs
Use QSentia Connect to route normalized signals, evidence, telemetry, and broker state into institutional systems.
Explore ConnectCustomize risk
Use Risk Studio to apply volatility, drawdown, position, leverage, and turnover constraints to existing agent evidence.
Open Risk StudioBuild with QSentia
Partner with QSentia to build governed quantitative products, agent adapters, signal APIs, evidence rooms, risk tools, and monitoring workflows.
See solutionsCompany architecture
QSentia builds, deploys, governs, and monitors AI/quant systems for financial institutions. The published agents become the visible proof layer inside a focused company strategy: quantitative products, governed agent platforms, controlled workflows, and API delivery infrastructure.
Finance-specific quantitative products and platforms for agent evidence, signal delivery, portfolio and risk analytics, backtesting, monitoring, APIs, controlled quant workflows, and institutional review.
Strategy systems with backtest evidence, live paper telemetry, risk controls, and governed release paths.
Research, risk, monitoring, and operating workflows built around agent evidence, approval gates, audit trails, and financial controls.
Internal engineering infrastructure for turning client mandates into reusable platforms, agent adapters, APIs, and monitoring.
QSentia Connect
QSentia Connect turns agent evidence into an integration product: approved institutions can ingest signals, telemetry, and evidence packages directly into their own workflows while QSentia keeps credentials, execution infrastructure, and approval controls isolated.
Approved firms receive scoped access to normalized agent outputs, latest signals, run evidence, and broker state.
QSentia Connect routes outputs into OMS, research, risk, portfolio, and partner systems through controlled APIs.
Keys are issued per customer, environment, and agent entitlement so integrations can start read-only before expanding.
What investors can verify
The product is built around inspectable records: historical backtests, current portfolio telemetry, broker health, orders, fills, and Shadow Mode paths that begin when the investor activates them.
Live paper agent accounts are ranked by portfolio return when broker snapshots are available.
Agent pages expose historical return, Sharpe, win rate, drawdown, orders, trades, and logs.
Connectivity, execution evidence, fills, stale states, and pending states are surfaced directly.
Capital tracking starts from each investor activation timestamp and selected amount.
Risk Studio beta
Allocators can evaluate volatility, drawdown, position, leverage, and turnover overlays across the current agent universe. True custom retraining remains a private beta candidate workflow, separate from live production agents.
Investor access path
QSentia is designed so institutions do not need to rely on pitch decks alone. The platform moves users through public evidence, paid diligence, Shadow Mode, and then gated investment review.
Public preview
FreeBrowse the marketplace, see live status, and inspect public backtest evidence for every agent before creating an account.
Discovery
$49 / moSave comparisons, coordinate review, and move from public evidence into a structured investor workflow.
Shadow Mode
$199 / moSelect a agent and capital amount, then track a 30-day simulated allocation from your start time.
Allocation review
GatedLive investment packages remain gated by onboarding, suitability, brokerage controls, and operating review.
Built for serious diligence
Hedge funds, investment managers, family offices, and qualified investors should be able to see how QSentia separates product access, agent evidence, live broker telemetry, and commercial gates.
Backtest metrics are not reused as live portfolio performance.
Unavailable metrics display as pending or unavailable, not silent fallback values.
Broker credentials stay server-side and account specific.
Account baselines are captured before live returns are calculated.
Execution, fill, and portfolio evidence stay inspectable at the agent level.
Commercial access is separated from agent execution infrastructure.
Who this is for
Review external strategy lanes through backtests, live paper telemetry, broker status, and trace logs before any deeper evaluation.
Use QSentia as a diligence, monitoring, and API layer for systematic agents, custom risk mandates, and approved strategy workflows.
Compare agent evidence, test Shadow Mode paths, and monitor the account behavior that matters before and after an approved allocation process.
Use Discovery and Shadow Mode to understand strategy behavior before deciding whether to begin a formal onboarding review.
Institutional partnerships