Something worked once and you cannot make it happen again.
Seed is where a company is asked to do on purpose what it once did by accident. Your investors funded the signal. The next round will price the system that produced it, which gives you roughly eighteen months to turn founder effort into something the company can repeat without them. The numbers that round will be diligenced on are already being set.
At seed, product, engineering, AI, go-to-market and capital strategy begin to separate into functions, and the company still succeeds or fails on how well they work as one system.
How we work with you here.
We work alongside the team rather than beside it, weekly where it matters. We design the system with the people who will run it, then stay until it holds under real load without us in the room.
What that looks like
Fixed in scope and shaped to the stage. Most companies start with whichever one matches the constraint above. Cost is settled on the call.
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.
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.
Fractional Executive
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.
Not sure this is your stage?
The scorecard takes two minutes and asks for no email. It tends to be a faster way to find the binding constraint than deciding in advance.