We help startup leaders create their Data & AI strategy so their efforts turn into value.

Diagnosis. The business context in which your data & AI initiatives generate value.

A guiding policy. A decision-making system specific to your business. When someone pitches an AI tool or your engineer proposes a project, the policy ensures every decision compounds in the same direction.

Foundation work & priority use case. The foundational work that gives you optionality in an uncertain environment, plus the highest-value use case to pursue first.

A kill list. Ideas that were evaluated and explicitly rejected, with reasoning documented. Stops the same debates from resurfacing every month.

A board-ready AI plan. Your strategy prepared for investors, partners, and board members. Communicate your direction clearly and strengthen your fundraising narrative.

A complete inventory. Every data source, tool, and team capability documented, with gap-closing recommendations that accelerate value capture by months.

Phased foundation work. What to build, configure, and fix in the right sequence, with owners and effort estimates.

Use-case execution plan. Step-by-step approach for each priority use case: who builds it, who uses the output, what to measure, and when to kill it if it's not working.

Hire recommendation (if needed). The specific role, seniority, skill profile, and a ready-to-post job description. Not a generic template; the role your company actually needs right now.