Commercial diligence
A real read on the GTM before you buy: what's structural, what's founder-dependent, and what it'll cost to fix.
We’re experienced revenue operators. We build an AI-driven GTM operating system across your portfolio, and it shows up in EBITDA and at exit.
30 minutes with a partner who has run a GTM, to talk through a portfolio company and where the value is being left on the table.
A 5% higher win rate can mean nine million more at exit. A rep hitting quota consistently, instead of by luck, can mean five million more. That is how multiples actually work.
PEs and their PortCos, with our operators working inside the team.





None of this shows up as a single red flag. It shows up as a discount at exit.
We work at any stage, together with your team, to help you reach the valuation you need.
Mandating an AI rollout across the portfolio.
We give AI the context it needs first: one operating system and clear standards for what good looks like.
Cutting commercial spend to hit the EBITDA bridge.
We find where the spend is leaking before anyone is cut.
Treating an add-on as a logo swap on the CRM.
We bring it onto the same operating system, so playbooks, data and tech follow one process.
Taking “we've got this” from management at face value.
We bring the numbers.
What protects the multiple: an AI-driven GTM operating system underneath the growth, with the structure, clean data and clear standards AI needs to deliver.
It shortens the path from signal to pipeline, flags at-risk deals and accounts before they slip, and gives the next buyer a growth story they can verify.
The earlier we're in, the more of that value we can help you build, and protect.
A real read on the GTM before you buy: what's structural, what's founder-dependent, and what it'll cost to fix.
The 100-day plan turned into an actual operating rhythm your team runs on.
Two CRMs, two teams, two playbooks, merged into one GTM, without losing either team's pipeline in the process.
When the plan isn't tracking, we diagnose why and fix it, before it becomes a board-level problem.
Provable, structural growth, the kind that survives buyer diligence.
Growth that's efficient, so it improves the number that actually gets multiplied at exit.
We've held CRO and COO roles and founded companies. Between us, we've run every function in a SaaS GTM team.
We've usually seen this exact portfolio company's problem before, and we can tell good AI output from confident nonsense.
You already know professionalizing the GTM is how you sell the same company for more. We're the ones who actually do it.
We know each job from the inside, so boards and management teams get the arguments they need to decide faster.
AI needs integrated systems, clean data and a clear definition of what good looks like. We build that, so AI delivers across the portfolio.
With KPIs you trust, we keep working with management, reviewing the North Star metrics and fixing what leaks.