We turn the data you already have into the outcomes the business needs.
So your team gets a trusted answer, and the decision it should drive, not another dashboard.
Two weeks in, you have a map of exactly where your data stops connecting to the result you need, and a defined first move. Up to three months from kickoff, that move is live, measured, and already paying for the next one.
See exactly how this works →Today
Signal, decision, and action, disconnected.
Up to 2 weeks
Discovery
The constraint is named.
Up to 3 months
First fundable move
Live and measured.
After
One proven capability, ready to compound into the next move.
A short, defined path, not an open-ended project.
You've bought the platforms, stood up the dashboards, run the AI pilots. The spend was real. Somewhere between all of that and the result you were counting on, something isn't connecting, and it's rarely obvious where.
The gap looks small. Everything falls into it.
Like connecting your marketing spend to real revenue, so budget moves to what works. Or finding the one place in your funnel that's quietly leaking pipeline, and fixing it first.
Outcome
What the business needs right now.
Use Case
The specific action that's blocked, and why.
Capability
The move that closes it, built with your team.
A capability keeps working after we leave - it improves on its own feedback.
Result
Measured and adopted.
This is the loop most companies never close.
See which spend actually drives revenue, and move budget to what works.
One trusted set of numbers everyone acts on.
The blockers to revenue found early, before they cost you a quarter.
AI that reaches a real business metric, with adoption that sticks.
In practice, four commitments:
We tie your goals to the KPIs and the drivers that actually move them.
We build the capability behind those drivers - the thing that changes the number.
Where AI genuinely helps, we put it to work, and we know where it doesn't, so you don't burn a quarter on a pilot that was never going to reach production.
We keep improving it.
Marketing spend that doesn't clearly connect to revenue. AI pilots that never reach a real business metric. A pipeline no one fully trusts. If one of these sounds familiar, there's likely a named starting point already mapped out for it.
See the use cases →Diagnostic Sprint
Name the real constraint and the first move worth funding.
Capability Blueprint
Design that move and everything it needs to work.
Escorted Execution
Build it alongside your existing team, not instead of it.
Validate & extend
Confirm the new capability delivers what it was built for, then unlock the next move.
Discovery takes up to two weeks. The first fundable move is live in up to three months. You can stop after the Diagnostic Sprint if it doesn't justify going further.
See how each phase actually runs →
Yoav Pipkevitch
Co-CEO15+ years leading data and analytics at companies like Fiverr (through its IPO), Perion, and Ludeo.
Moshe Romano
Co-CEO18+ years building the data foundations behind revenue and retention, from Investing.com and Undertone to leading MAD Growth as CEO.
One makes the data trustworthy, the other turns it into the decision worth making. Together, that combination closes the gap most companies live with, between the business goals up front and the data that has to drive them.
We've seen both sides
Years inside companies like Fiverr, Perion, Investing.com and Ludeo, running the data teams, owning the revenue number. We've watched these same things work, and watched them quietly fall apart, so we know the traps that are easy to miss.
Play wide, execute small
We understand the whole system before touching anything, then make the one move worth making first.
We stay close through the build
No deck handed over, no disappearing. We guide the build and stay through adoption, until the capability stands on its own.