What we do

Six engines, one job: turn intent into revenue.

Meridian is not a place to browse creators. It is a decision system that answers a single question: if I have this product, this budget, and this goal, which creators maximize expected business outcome?

How a single sentence becomes a defensible plan

01

You state the outcome

Product, budget, geography, and a revenue goal. One sentence in the console, no creator lists, no spreadsheets.

02

The engines decide

Recommendation ranks creators on category fit, audience fit, realized performance, quality, and value. Prediction forecasts the funnel down to revenue and ROAS.

03

The plan comes back

A ranked lineup, a budget allocation against your goal, expected revenue with confidence bands, and the risks worth knowing before you sign.

04

Reality feeds back

Attribution compares predicted to actual on every completed campaign. The deltas retrain the rankings, so the next forecast is sharper than the last.

Every campaign makes the system stronger. Data becomes performance, performance becomes prediction, prediction becomes better recommendations, and better recommendations become outcomes no competitor starting today can match.

The defensibility compounds with every launch

The moat is not the interface. It is the loop underneath it, and it only spins one direction.

01Campaign data
02Creator performance
03Sharper predictions
04Better recommendations
05Better outcomes
06More customers
07More data
and the loop tightens
Where this goes

Toward campaigns that run themselves

Today the platform plans and forecasts. The trajectory is autonomous execution: state a product, a market, and a revenue goal, and the system finds creators, allocates budget, tracks results, and optimizes spend, with human intervention becoming optional.

Try it on a real brief
InputProtein bar · ₹20L · ₹1Cr revenue · India
Findscreators + audiences
Predictsreach → conversions → revenue
Allocatesbudget against the goal
Tracksrealized ROAS, per creator
Optimizesthe next campaign