Most innovation spend backs the wrong bets. We help you fund the few that win .
We install and run a rapid-experimentation operating model across your squads, with human judgment backed by method and software, so leaders fund the few bets worth scaling and stop the rest before they burn budget.
10+ squads in parallel · 130+ experiments · $12M saved early
Banked
$68M+
Fund the best, save on the rest.
Manage innovation like a portfolio of bets.
You don't need more ideas. You need a disciplined way to run many small bets, read the evidence, and concentrate budget on the few that earn it. We install that operating model and run it with your teams.
01
Frame the bets
We turn your strategy, growth, and AI ambitions into a portfolio of testable bets, each with a clear hypothesis and a threshold that decides kill or scale.
02
Run experiments in parallel
Squads run validated experiments in a shared cadence, drafting the first pass with Rapidly and making the calls with our operators alongside them.
03
Read the evidence
Every bet produces real customer evidence in days, not quarters, so funding decisions rest on data instead of opinion or the loudest voice in the room.
04
Fund the winners, stop the rest
Concentrate budget on the few bets that clear the bar and kill the rest early, before they harden into sunk cost.
Proof
Inside one top-50 ASX-listed enterprise, the model ran 130+ experiments across 10+ squads, compressed idea-to-decision from months to 8 days, and saved $12M by stopping the wrong investments early. Client name and full write-up shared under NDA.
Human judgment is the product.
Experience decides which bets to back. Method and software are how we make that judgment fast, repeatable, and scalable across every squad.
Consulting
Our operators
Experienced innovation operators run the model with your teams and make the judgment calls that decide which bets live or die.
Method
Pretotyping
The validation discipline built at Google and taught at Stanford, adapted for the AI era.
Software
Rapidly
Drafts experiments, runs them, and tracks every bet's evidence and decision in one place.
Capability
Your guild
We train an internal experimentation guild so the operating model keeps compounding after we leave.
“Alberto Savoia created pretotyping at Google and taught it at Stanford. I trained directly with him, then spent years adapting the method for teams, where the hard part is not understanding the theory. It is keeping momentum after the workshop ends.”
Start where your portfolio is.
Three ways in, one operating model. Most teams start with a workshop or a single-bet sprint, then scale to the full model across squads.
Tier 3 · Workshop
Half-Day Workshop
Align your leadership team on AI-era experimentation and spot which bets need validating first. The fastest way to see how the model thinks.
Talk to us →Tier 2 · Single bet
RX Sprint
A focused sprint that validates one high-stakes bet end to end, with your team in the room and real customer evidence at the finish.
Talk to us →Tier 1 · Portfolio
RX Operating Model
A 90-day install of the full operating model across multiple squads, with an internal experimentation guild trained to sustain the cadence after we leave.
Talk to us →See it with your own team.
I run free 30-minute executive briefings online: an intro to pretotyping, real case studies, and how to spot which AI and innovation ideas need validation before you invest. Your team joins wherever they're based.
Bring us your innovation portfolio. We'll show you which bets to fund.
A 30-minute strategy call. We look at where your innovation budget is going, and how a rapid-experimentation operating model surfaces the few bets worth scaling. No pitch.