We scope engagements around outcomes, not hours. Each of these models is shaped by decades of working with founders, enterprises, and investors who need senior technical judgment applied to consequential decisions.
Fractional CTO-level engagement for companies making technology decisions with long-term consequence. Typical scope: AI adoption strategy, platform architecture review, build-vs-buy analysis, and roadmap development.
Companies in the $5M–$200M range evaluating an AI-native pivot, preparing for a funding round, or integrating a major platform decision.
Hands-on architectural leadership and technical delivery for AI platforms, demand forecasting systems, supply chain finance platforms, and trading infrastructure. We embed with your team or lead a dedicated delivery squad, including building and managing globally distributed engineering teams across multiple time zones.
Engineering organizations that have the roadmap but need senior AI and platform expertise to execute without false starts.
Technology and AI capability assessment for acquisition targets and follow-on investments. We evaluate codebase, architecture, team capability, defensibility, and AI claims made by the target company.
Investors evaluating AI-adjacent companies where a superficial technical review is not sufficient.
Private coaching for technical founders, newly-promoted CTOs, and engineering leaders navigating the transition from builder to executive. Engagements focus on decision quality, organizational design, and AI fluency at the leadership level.
Technical leaders who need a senior thinking partner, not a generalist coach.
Every engagement begins with a thirty-minute discovery conversation. The purpose is diagnostic: to understand what you are trying to build, where it is actually stuck, and whether the work ahead genuinely benefits from our involvement.