What We Do
Two altitudes of leverage, one operating rhythm. We close the AI valuation gap at fund speed — sitting alongside investment teams on diligence and inside portfolio companies on delivery.
Risk & Multipliers
Sub-week turnaround once we have systems and process access. Beyond scanning code — real assessment of system scalability, AI readiness, and engineering leadership quality, every finding framed against the thesis. We hand you a post-acquisition integration strategy and a roadmap for improvements alongside the report — diligence that doubles as a Day One operating plan.
Identifying repeatable AI workflows deployable across portfolio companies to eliminate operational bloat and unlock compounding returns. Currently deployed across a portfolio of vertical B2B SaaS companies — running AI adoption assessments and engineering health reviews at the fund level.
Toxic engineering cultures are more common than most firms admit. We diagnose misaligned leadership and dysfunctional team dynamics early — before they destroy velocity and drive churn.
Velocity & Scale
Parachuting in to align engineering teams with board growth targets and establish elite, high-velocity shipping cultures. We operate as a true leadership layer — not an advisory layer, with immediate operating rhythm.
Moving teams from scattered AI experimentation to production-ready workflows that drive revenue. We teach the agentic engineering practices we use every day to ship: spec-driven development and agent harnesses.
Re-architecting cloud-native systems to scale cleanly — then delivering it on a fixed bid. Clear scope, real accountability, production-ready output. No scope creep, no surprise invoices, no hand-off decks, with measurable throughput gains.
Why Heavy Chain
I led technology at a $1B AUM investment management firm — sitting on the operator side of the table where engineering quality is a line item in the thesis, not an abstraction. Before that, twenty years of architectural work spanning LLMs, cloud-native platforms, and AI-native product systems.
A partner who thinks about IRR and architecture. A rare combination — and the one your portfolio needs to compound the AI advantage instead of watching the gap widen.
The first call maps where your portfolio (or your team) sits on the AI-adoption ladder and what moves the needle fastest.
