We Build Systems. Here's What They Do.

Every number below comes from systems we actually built and deployed. Not projections from a slide deck — production infrastructure running in the real world.

2M+
Lines of Production Code Shipped. Across 22+ repositories, 4 industries, and dozens of integrated subsystems — all built by a single architect with AI.
$355K+
Projected Annual Savings Across Clients. From eliminated platform licensing, replaced analyst labor, automated marketing operations, and recovered manual hours.
22
Autonomous AI Agents in Production. Each agent handles a specialized financial vertical — trading, tax, insurance, CRE, estate planning, compliance — coordinating through a unified event bus.
100+
Report Types Automated. Financial statements, tenant management, investor packages, brand intelligence dashboards — all generated automatically from live data.
108
Companies Monitored Simultaneously. A single brand intelligence platform tracking portfolio company performance across social channels in real-time.
$8M
Estimated Rebuild Cost of APEX Platform. Independent analysis of what it would cost to rebuild our flagship wealth management system at market engineering rates.

Our Results Methodology

Projected savings are calculated using conservative assumptions: loaded labor costs at salary ÷ 2,080 hours, platform replacement valued at current licensing fees, and automation value at 60% of estimated full potential (not 100%). Where results are projected rather than measured over a full year, we label them as projected.

Lines of code are actual counts from production repositories, not estimates. Every system referenced on this page has a corresponding codebase that can be audited.

What we don't claim: We don't inflate numbers with theoretical revenue impact or speculative market value. The savings shown are operational — hours eliminated, platforms replaced, manual work automated. Revenue acceleration is real but harder to attribute directly, so we leave it out of our headline numbers.

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