Who AIPath is for

AIPath is the Decision Intelligence Platform for Growth. AIPath serves the CEO deciding growth strategy first, and everyone who carries that decision with them: the advisors trusted with it, the portfolios that hold it fifty times over, and the enterprise innovation teams asked to prove it.

The primary seat: CEOs and leadership teams of $5-50M ARR SaaS companies

At this size there is no revenue strategy team, so the highest-stakes decision of the year runs on reconciliation the CEO does in their head. AIPath generates and tests growth strategy for the CEO, continuously: every way to grow mapped, ranked by the ROI that matters at the company's stage, the strongest tested on real customers before the budget moves. The CEO sees every option, tests before committing, and walks into the board defended by evidence attached to every recommendation.

Advisors, consultancies and fractional growth executives

Advisors and consultancies run AIPath across their client roster: a twin per client, hundreds of thousands of paths searched in the time a workshop takes, and recommendations that arrive with tests attached. The client keeps a living system when the engagement ends. A tier-one management consultancy runs AIPath itself.

Accelerators, VCs and investor portfolios

Programmes and portfolios deploy AIPath across their companies: each venture gets its own twin and tested shortlist, and the programme gets a shared standard for what a defensible growth plan looks like. One relationship carries a roster, and cohort pricing exists for exactly this.

Enterprise innovation, R&D and commercialisation

Innovation teams use AIPath to rank what deserves the next tranche: simulated demand before a build, in-market tests before a launch, and an evidence trail the committee can audit. AIPath has completed a pilot with the California innovation lab of a global electronics leader, and builds inside the Microsoft for Startups and HP Garage 2.0 programmes.

AIPath won the 2025 AI Agents Global Challenge and its USD 1 Mn prize pool; in one deployment it cut acquisition cost from $240 to $43 in a single quarter; a telco leader made more progress in 17 minutes than his 50-person team had in 18 months.

Whichever desk you sit at, the question is the same: is the bet tested? Book a free working session at https://app.reclaim.ai/m/aipath/finding-time (45 minutes, run on your company, you keep the analysis either way).