Analysis
Revenue forensics
We investigate fragmented commerce, finance, CRM, email, advertising, fulfillment, and analytics data to identify what is true, what is distorted, where revenue is leaking, and where capital is moving too slowly.
Private Technical Intelligence
Enterprise-grade technical intelligence for founder-led companies that need better evidence, faster decisions, and cleaner execution.
We help growth-stage companies expose revenue leaks, repair fragile commerce, data, and operating systems, build decision-grade infrastructure, and create the evidence operators, investors, and acquirers need to move faster with less risk.
Principal-led by Ryan Jordan: Systems Engineering PhD. Founder and operator for 25+ years. Expertise in Revenue Forensics, Data Architecture & Technical Intelligence.
Selective Engagements
- Revenue forensics audit
- Data architecture build
- Conversion constraint analysis
- Capital readiness + investor diligence
Services
Senior technical work for companies preparing to scale, raise capital, or withstand diligence, where slow answers reduce margin, cash flow, and enterprise value.
Development
Technical systems and integrations
We design and build targeted tools, automations, reporting layers, integrations, and internal systems when off-the-shelf software cannot answer the business question cleanly.
Conversion
Conversion constraint analysis
We find the technical, behavioral, trust, merchandising, performance, tracking, and operational constraints that suppress conversion, retention, margin, customer lifetime value, or return on invested capital, including custom first-party pixel and event instrumentation when platform data is not reliable enough.
Capital
Capital readiness and investor diligence
We build or inspect the evidence layer behind a growth story before angel, seed, Series A, acquisition, or investor diligence conversations expose gaps in the numbers, systems, or technical foundation.
Why This Is Different
Principal-led intelligence across strategy, data, engineering, and growth.
Small businesses lose money when strategy, analytics, engineering, marketing, and operations are translated across too many disconnected specialists. Every handoff adds delay, ambiguity, and cost.
Our work combines founder-level operating judgment, systems engineering discipline, software and AI fluency, and end-to-end digital growth experience from acquisition through conversion, nurture, retention, and margin.
The practical advantage is speed of motion: fewer handoffs, faster diagnosis, faster implementation, clearer capital allocation, and less revenue left idle while disconnected specialists debate partial views of the business.
The financial objective is capital velocity: shorten the time between spend, signal, decision, implementation, and cash return while protecting margin and reducing expensive false starts.
For founders preparing for angel, seed, or Series A capital, this creates the evidence layer behind the growth story. For investors and acquirers, it exposes the technical, data, conversion, and operating reality behind the numbers before capital is committed.
Engagements
Focused engagements for leadership teams ready to make serious growth decisions.
Audit
Revenue Forensics Audit
We run a focused diagnostic of data reliability, tracking, attribution, first-party event instrumentation, conversion paths, reporting logic, technical debt, app/script risk, and the constraints most likely limiting growth, margin, and capital efficiency.
Foundation
Data warehouse and metrics layer
We build the source-of-truth architecture: automated pipelines, metric definitions, quality checks, documentation, and executive reporting that teams can trust.
Build
Bespoke data connections
We connect systems that do not naturally talk to each other: commerce, subscriptions, fulfillment, accounting, CRM, email, ads, support, product data, and custom applications.
Decision System
Executive dashboards and cadence
We create KPI trees, performance models, scorecards, and review rhythms that connect technical findings to decisions, owners, timelines, cash-flow impact, and measurable outcomes.
Diligence
Investor diligence forensics
We provide technical, data, conversion, and revenue-quality diligence for investors, acquirers, and operators evaluating a digital commerce business before capital is committed.
Framework
Connect the systems. Audit the evidence. Diagnose the constraint. Build the decision layer.
- We inventory and connect the systems that hold the real business signal.
- We normalize definitions so revenue, margin, conversion, retention, and attribution stop drifting across tools.
- We audit data quality, tracking logic, technical debt, scripts, customizations, and security exposure.
- We diagnose the bottlenecks and quantify which constraints deserve leadership attention first.
- We build dashboards, automations, and operating cadences that turn intelligence into faster decisions, better capital allocation, and action.
Inquiry
For operating, technical, and capital decisions that deserve senior attention.
Useful starting points include founder-led companies moving from traction to scale; preparing for angel, seed, or Series A capital; acquisition conversations; investor diligence; a major growth investment; unreliable dashboards; inconsistent revenue numbers; unexplained conversion drop-offs; fragile ecommerce customizations; plugin-layer conflicts; fractured integrations; presentation logic problems; duplicated data structures; excessive manual reporting; app or script bloat; and technical risks that leadership cannot yet quantify.
Use the inquiry form to establish basic fit and timing. We review context before scheduling a call.
Engagements are scoped according to business complexity, technical risk, urgency, and the economic value of the decision. Most advisory, audit, and implementation work is appropriate for companies prepared to invest at a senior professional services level. If the constraint is material to revenue, margin, capital efficiency, investor confidence, or enterprise value, the engagement should be able to justify itself through faster decisions, reduced false starts, cleaner execution, and better allocation of capital.
This work is generally not a fit for pre-market exploratory projects, routine third-party software setup or integrations, or companies seeking commodity development support.