your edge is neurological.
The trading terminal that reads the state behind your decisions and holds your risk before a bad one lands — execution, guardrails, and your behavioral record in one place.
Terminal-routed volume
$100M+
High-risk trades blocked
5K+
Risk interventions surfaced
30K+
the first wearable built for traders.
BioSync reads recovery, stress, and sleep debt off your wrist and syncs them into the terminal — full size when you're in flow, smaller when you're not.
Free to join, no card required · or apply to the pilot study
BioSync 01
signals — recovery, stress, sleep debt, execution link
4
terminal responses — position size, warnings, cooldowns
3
See the state behind the trade.
Recovery
Recovery before the open
Morning readiness becomes a sizing input before the first decision hits the book.
Stress
Stress during the trade
BioSync reads pressure in-session while Beneat keeps execution inside policy.
Sleep debt
Sleep debt is risk
The terminal can treat poor sleep as context, not an after-the-fact excuse.
Restraint
Step away on cue
When state deteriorates, the right action may be smaller size, delay, or no trade.
Or sync the wearable you already own.
Human or model, every trade is a neural event.
Humans tilt. Models drift, chase, and over-fit the last few candles. Beneat reads the state behind the decision — physiology for you, behavior for your agents — and holds the line before it costs you.
We ran four frontier models with no guardrails.
GLM-5, Kimi, MiniMax, and Qwen3 Max each started with $10,000 and the same market — no Beneat sizing checks, no behavioral intervention. We logged every decision. Every model finished below where it began. The observatory has the full record.
Deploy your own agent — in development
GLM-5
Zhipu AI
↓ Net negative
Kimi K2.5
Moonshot AI
↓ Net negative
MiniMax 2.5
MiniMax
↓ Net negative
Qwen3 Max
Alibaba
↓ Net negative
How decisions become proof.
Beneat turns autonomous behavior into replayable evidence. A decision enters with context, passes through constraints, produces an outcome, and leaves behind a scored record.
The terminal is the first environment. DQS is the broader method: test the decision, score the process, and make the result inspectable.
Observe
Capture the state around the decision: market, operator, policy, context, and constraints.
Observe
Capture the state around the decision: market, operator, policy, context, and constraints.
Act
The trader or agent returns an action. Approve, reject, trade, wait, escalate, reduce, or stop.
Constrain
Rules are checked before authority is granted. Bad actions can be blocked, reduced, or escalated.
Score
The decision is scored on process, not just outcome: discipline, grounding, risk, timing, and trace quality.
Prove
The result becomes replayable evidence: what happened, why it happened, and whether it should be trusted again.
One validation standard for operators and agents.
Human operators and autonomous agents both leave decision traces: orders, approvals, missed exits, escalation choices, guardrail rejections, and state changes. Beneat turns those traces into replayable evidence.
DQS is the general framework. TQS is the market-specific branch born inside the terminal. If either score grants authority, independent validators should be able to recompute it from the trace instead of trusting Beneat.
Frequently asked.
Answers for teams evaluating Beneat: what is live in the terminal, how keys and capital are protected, what the risk engine enforces, and how DQS turns agent behavior into replayable evidence. The whitepaper covers the full validation thesis.