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We don't just advise. We build.

A product born from a real client engagement. Below it, a sample of software company work with anonymized outcomes.


Internal tool · Predict Market BotNot public

Forecasting infrastructure, kept in house.

A live two-pipeline trading system — prediction markets (Kalshi, Polymarket) and US equities (Alpaca) — running on Vercel cron with a Python research worker on GitHub Actions. A five-model ensemble (Claude, GPT-4o, Gemini, momentum, technical) feeds Bayesian log-odds combining and Kelly-sized risk management.

We built it to stress-test our own assumptions on cash-flow models, deal scenarios, and sensitivity analyses. It is not a public product— we don't sell signals, manage outside money, or offer trading advice. Available to clients only as part of a Finance engagement.

Internal use only
Predict Bot · 12-tick horizonFORECAST
NOW
CONFIDENCE 87.3%HORIZON 12TMAE 1.4%
A The ledger

A sample of software company engagements.

Anonymized. Outcomes-first. Every engagement lasted at least a quarter; most ran six months or more.

Industrial Services
STRATEGYOPS
Reset the operating model for a $40M industrial services rollup; quarterly EBITDA up 18% in 6 months.
Healthcare Rollup
FINANCESTRATEGY
Fractional CFO + integration playbook for a 4-practice acquisition; closed audit on time, no surprises.
SaaS Platform
AIOPS
Embedded AI in the support workflow; auto-resolved 31% of incoming tickets without degrading CSAT.

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