Five capabilities. One backbone.
AI-native behavioral detection. Pre-payout compliance. A review queue your analysts actually work in. LLM-written narratives on every finding. Custom reporting. All integrated end-to-end so your ops team stops stitching tools together.
Risk Platform.
Every fill, every funded account, every known abuse pattern. Reviewed the moment it happens. No dashboards to check. No reports to cross-reference. Signals surface straight to the operator who can act.
Canonical stream in
Trades arrive in real time in PropTector's canonical format. Whether your data comes from MT4/MT5/cTrader, a proprietary back-office, or a custom pipeline, it lands in the same shape. Validated at the boundary, never translated downstream.
Behavioral AI
Each fill is scored by a behavioral model trained on your firm's historical outcomes and a dozen-plus abuse classes. Cross-referenced across accounts for coordinated behavior.
Operator alert
High-confidence hits surface to the risk queue with evidence, related accounts, model confidence, and a recommended action.
Copy trading
Clusters of accounts taking the same positions, often within 200ms of each other, across different IPs.
Hedge trading
Opposing positions across linked accounts that net to a guaranteed payout regardless of market direction.
HFT & latency arbitrage
Sub-second order streams exploiting feed latency or a slower execution venue. Unrealistic fill rates for a retail connection.
Martingale
Doubling-down patterns after losses, typically paired with widened stops and no defined take-profit.
News trading
Entries placed inside the locked window around scheduled high-impact events. NFP, CPI, FOMC.
Grid trading
Stacked orders at fixed pip distances around a price level, regardless of direction.
Scalping & EA bots
Sub-minute holds and expert-advisor signatures that breach the firm's hold-time or automation rules.
Group coordination
Multiple accounts trading in lockstep from shared IPs, devices, or KYC signals. Classic ring behavior.
Payout Review.
Every payout request ships with a full windowed AI assessment. Your team sees the model verdict, an LLM-written narrative, the evidence, and the precedent. All before they click approve.
Assessment window
Every trade between the previous payout (or funding) and the current request is pulled into review.
Model scoring
Pattern hits, strategy fit, drawdown profile, and consistency are scored by ML models and weighted against your firm rules.
Four-way recommendation
Approve, deduct, escalate, or reject. With an LLM-written plain-English narrative, the evidence, and a defensible audit trail attached.
Approve
No pattern hits. Strategy within declared rules. Payout clears straight to treasury.
Deduct
Partial violations. Specific trades stripped from eligible PnL, rest paid out.
Escalate
Ambiguous signal. Routed to senior risk with full context for a human call.
Reject
Clear abuse pattern or rule breach. Request denied with documented reasoning.
Audit trail
Every verdict, every input, every edit. Timestamped and immutable for regulatory review.
Precedent matching
Similar cases surfaced at review time so decisions stay consistent across operators.
Rule-leak audit
Quarterly review of where your payout framework is giving money back. Specific rules, specific cohorts, specific dollar impact. Comes with proposed tightening, not just problems.
Training.
Risk training for the team making the calls. Support training for the team answering the tickets. Operators who know the terrain before they step on it.
Role-scoped tracks
Separate tracks for risk analysts and support staff. Each calibrated to what that role actually does.
Live-fire case studies
Anonymised real cases from PropTector's detection archive. Trainees call the verdict, then see what happened.
Competency sign-off
Measured scoring against the standard. Operators certify; firms get documentation.
Risk analyst track
Pattern recognition, verdict reasoning, precedent use, escalation judgement.
Support track
Trader-facing answers for denied payouts, strategy questions, and rule disputes without undermining the call.
Onboarding path
New hire to first independent verdict in 3 weeks, mapped step by step.
Certification records
Signed-off competency documentation for regulators and partner relationships.
Marketing Intelligence.
Campaigns and copy designed from your own conversion, retention, and churn data. Not generic templates. Your cohorts, your patterns, your wins.
Cohort modeling
Funded-trader cohorts modeled by acquisition source, strategy, and outcome. Who converts, who churns, who scales.
Data-driven copy
Email sequences, landing pages, and retention campaigns drafted against the patterns your data surfaces.
Closed-loop attribution
Every send tied back to funded-account outcomes, not open-rates. Campaigns ranked by the PnL they produced.
Acquisition emails
Top-of-funnel sequences written for the segments your data says actually convert, not the ones that just subscribe.
Retention flows
Re-engagement for traders mid-challenge and post-breach. Tuned to the patterns that precede churn.
Landing copy
Page variants built around the objections your support team actually hears, not imagined personas.
New-plan generation
New challenge and funded-plan structures proposed from your conversion, scaling, and breach data. Modelled for profitability against your actual cohorts before you ship them.
Data-backed suggestions
Promo timing, fee adjustments, rule tweaks. Suggested with the specific cohort and outcome data that makes the case, not vibes.
Campaign ranking
Every campaign scored by funded-outcome lift, so the weakest sends get cut and the strongest get scaled.
Automation Builder.
The manual grind your ops team shouldn't be doing. Emails, CRM updates, reporting handoffs. Moved to pipelines that just run.
Event-driven pipelines
A verdict, a breach, a payout clearing, a new funded account. Every meaningful state change is a trigger.
Destination logic
Events fan out to email, CRM, reporting warehouse, or ticketing system based on firm-configured rules.
Delivery receipts
Every hop logged. Failed deliveries retried and surfaced so nothing silently goes missing.
Email workflows
Trader-facing emails for verdicts, funding steps, rule breaches. Templated and firm-branded.
CRM integrations
HubSpot, Salesforce, Attio. Accounts and events synced so your sales + success teams see the same data.
Reporting pipelines
Daily, weekly, or event-triggered reports piped to your warehouse, Slack, or a PDF in your inbox.
Ticketing handoff
Escalations arrive in Zendesk, Intercom, or Linear with all the context already attached.
See the platform end to end.
30 minutes. Screen-shared. We'll run through all five capabilities against your actual payout flow and detection gaps.
Book a call →