See it coming. Not after it broke.
Continuous models across ads, lifecycle, ops and inventory. Names the leak days before your dashboard turns red.
model · forecast · days ahead
तर्क
reasoning, inference
Built by people who paid for the signals they missed.
Operators who held the founder seat. Analysts who modeled the math by hand. Engineers who shipped production decision systems. We built the layer we wished we'd had, so you don't have to learn it the expensive way.
OUR MISSION
The gap between signal and action. That's where the work is.
The leak isn't a data problem. It's a latency problem. TARK closes the gap: predicts where margin's about to leak, catches what no reviewer can hold in their head, and drafts the next move while there's still margin to save.
The signal your standup would have missed.
A fatigue curve in ads, tied to a return spike in ops. Cross signal patterns no human reviewer can hold in their head, surfaced before either alone trips an alarm.
cross signal · pattern · ahead of alert
Drafts the fix. Not the flag.
Every move arrives with the why, the confidence and your sign off. Nothing ships without you.
why · confidence · sign off
OUR STORY
We built TARK from the receipts of our own mistakes.
For years we ran growth at consumer brands. Same pattern every time: signal fires Friday, team sees it Monday, the money's already gone. None of it was hidden. We just didn't have the time, the math or the cross tool view to see it in time. TARK is the layer we wished we'd had.
Friday signal, Monday loss.
Held a 3.3× ROAS until we didn't. Creatives fatigued mid-cycle, $5K burned before standup caught it.
signal Friday · noticed Monday · spend gone
Quiet quarter, panic promo.
Reacquiring decayed cohorts costs 4 to 5× what holding them would have.
decay invisible · reaction late · LTV collapses
Two weeks old by Monday.
4 to 6 hours a week reconciling SKUs in Excel. By the time we knew what to do, the signal was two weeks old.
all manual · prone to error · stockout / overstock
THE TEAM
Operators who've sat in the chair.
Operators who've held the founder seat. Analysts who modeled the math by hand. Engineers who shipped production decision systems. India first by design.
Held the founder seat.
Lived the cost of Monday's number. Know what a missed signal weighs because they paid it in real money.
founder seat · Monday number · paid it
Built the math by hand.
Forecasting models, cohort decay curves, supplier lead time distributions. Done from raw data, before there was a tool for it.
models · curves · distributions
Five days, not five months.
Shipped production decision systems where downtime costs money and false alarms cost more.
production · ship fast · own the alarms