The prop firm economy runs on models. Yours should be one of them.
Evaluation-based prop firms are one of the most AI-native businesses in trading. Challenge design, funded-trader lifecycle, payout risk and fraud detection are all model problems. We build the models — for FTMO-shaped, The5%ers-shaped, FundedNext-shaped firms and everyone in between.
What breaks first in a fast-growing prop firm.
Prop firms scale fast. Challenge economics — the expected value of a rule-set, a marketing source, a specific challenge type — get away from founder intuition around 2,000 concurrent traders. Funded-trader lifecycle, especially post-pass, is a fundamentally different journey the CRM is not built for. Payout fraud — coordinated groups extracting funded capital across accounts, sophisticated latency arbitrage, martingale exploits — is quietly expensive.
Almost every fast-growing prop firm hits the same three walls in the same order: cohort economics visibility, funded-trader retention, payout fraud losses.
What good prop-firm AI looks like.
Three model systems, one operating layer:
- Live challenge economics: expected value per rule-set, per cohort, per marketing source, per traffic channel — updated daily, drillable by any dimension.
- Funded-trader lifecycle: a separate journey that recognises the moment a trader passes and inverts the relationship — from acquisition target to relationship account.
- Payout risk scoring: every payout request scored for coordination, latency exploits, martingale-fingerprints and duplicate-identity signals, with human review only for borderline cases.
What KJ Capital ships.
A bespoke prop-firm operations layer, integrated with your challenge platform (BrokerTools, YourPropFirm, Trader Evolution or custom), CRM and payment stack. We deliver:
- A live challenge economics dashboard with per-cohort EV, drillable to the source.
- A funded-trader journey orchestration layer that recognises pass/fail events and routes accordingly.
- A payout risk model trained on your historical payouts and dispute cases.
- A coordinated-account graph (device, IP, timing, symbol, latency) that surfaces likely rings.
- An operator dashboard that ties it all together for the founder team.
What the build should be designed to measure.
These are planning targets, not KJ Capital client results or guarantees. The Diagnostic validates baselines, feasible targets and measurement before a Build is scoped.
What buyers ask us about this build.
Q01Do you work with FTMO / The5%ers / FundedNext-style setups?+
Q02What challenge platforms do you integrate with?+
Q03Can this help us design new challenge products?+
Q04How does the payout fraud detection integrate with our current review flow?+
Q05Price?+
What brokers ship alongside this one.
Dealing Desk AI
The modern broker dealing desk is an AI problem, not a headcount problem. We ship real-time toxic-flow scoring, per-client and per-symbol A/B routing recommendations, LP scorecards and exposure alerting — plugged into your existing bridge without touching the terminal.
IB & Affiliate Intelligence
Most brokers still manage their IB networks on spreadsheets and monthly PDFs. The small IBs never get an activation nudge, the big IBs are never actually audited, and coordinated fraud rings quietly siphon commission. AI closes all three gaps.
Retention & Dormancy
The economics of retail broking are simple: you spent hundreds of pounds acquiring each trader. Losing them silently to a competitor after three months is the most expensive thing your business does. We build the AI that catches them before they leave.