What we do.
Four kinds of work, roughly in the order they happen. Most companies start with the diagnostic, because choosing what to do next is easier once the evidence is in front of you.
We find the constraint
A read on what is actually holding the company back, tested against your systems, your repositories, and your numbers rather than assumed from the outside.
FAST Diagnostic
Where is the company actually strained?
The paid instrument behind the free scorecard. We test each of the six dimensions against your systems, your repositories, and your numbers, then hand you a maturity read with the confidence of every finding made explicit and an ROI model behind the order of work.
We settle the direction
The decisions that determine what gets built and why, from the wedge itself to the shape the product should take now that AI is on the table.
Venture Foundation
Do we have a venture-scale company?
Wedge and problem refinement, ICP and customer workflow mapping, market and category analysis, competitive positioning, business model and initial pricing, and the milestones that follow from them.
AI-Native Product
What should the product be, given AI?
Identify the highest-value AI workflows, decide between SaaS, AI-assisted, and AI-native architecture, design the agents and copilots, settle the context and model strategy, define human-in-the-loop controls and an evaluation framework, then sequence the build.
SaaS to AI Transformation
How does our SaaS company become AI-native?
Audit the existing product, identify the workflows AI can own, re-architect those modules, orchestrate the agents and tools, settle data and context architecture, plan model routing and fallback, and model the effect on cost and gross margin.
We get you through the gate
Every stage ends at a gate, whether that is an accelerator, a Series A, or the scale the last round assumed you would reach. This is the work of arriving with the evidence the gate asks for.
Accelerator & Investor Readiness
Can we be competitive for the programs and investors we want?
Company diagnostic, founder-market-fit narrative, and wedge refinement, then application strategy for whichever gate you are aiming at, whether that is Y Combinator, Speedrun, HF0, PearX, Neo, CDL, Techstars, an angel group, or a pre-seed fund. Full application and materials review, demo and founder video preparation, challenge sessions, and repeated mock interviews. It ends with the fundraising readiness that follows either outcome.
Series A Readiness
What has to be true to raise an A?
Gap analysis against Series A benchmarks, evidence of product-market fit, go-to-market repeatability, revenue quality, the hiring and operating plans, financing strategy, and the investor narrative that ties them together.
Scale Readiness
Will the company survive the next three times?
Organizational design and decision rights, management cadence, KPI architecture, the hiring plan, cross-functional workflows, and the operating bottlenecks that surface when headcount outruns process.
We stay while it holds
Executive judgement on a weekly cadence, for companies that need the decisions made well before they can justify the salary that usually comes with them.
Who owns this until we can hire for it?
Weekly executive leadership on a technology track or a strategy track. Roadmap ownership, architecture or go-to-market decisions, hiring support, and board and investor preparation, for companies that need the judgement before they can justify the salary.
Scope and cost are settled on the call, once we know which constraint we are solving. The diagnostic fee credits against whatever follows if you start within thirty days.
Book a 30-minute call