Connect the Signal
Every platform and outcome source connected to one governed dataset. Live in weeks.
Grapes Worldwide 's Media AI Insights agent watches every account for anomalies, recommends budget shifts with evidence attached, and forecasts spend and outcomes, with a named media lead approving every move.
Get a Free Media ConsultationFrom Mankind Pharma and Panasonic to Paytm, JCB, and Siyaram's, category leaders work with Grapes because their media decisions come from an agent that watches every signal, and from media leads who own every call.
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Most media teams are rich in data and poor in decisions. Anomalies are spotted days late, budget stays where it was set at the start of the quarter, and forecasts are guesses dressed up in spreadsheets. Our Media AI Insights agent watches every account continuously, explains what changed and why, recommends where budget should move with evidence attached, and forecasts what the next month will deliver. A named media lead approves every recommendation.
Spend, cost, and conversion swings caught the hour they appear, across every platform and market.
Every anomaly explained: auction changes, competitor moves, tracking breaks, or creative fatigue, with evidence.
Where the next pound, rupee, or dollar should go, recommended with expected impact and confidence.
Forecasts of spend, leads, sales, and revenue your finance team can plan against, refreshed as data arrives.
Geo holdouts and lift tests designed to show what media really adds, beyond what attribution claims.
Lightweight mix modelling that shows how channels work together and where diminishing returns begin.
Untapped audiences, markets, placements, and search demand surfaced from your data and the wider category.
Every insight delivered as a short brief: what changed, why, what we recommend, and what it will deliver.
Five stages, one goal: faster, better-evidenced media decisions every week. Running for brands across five countries.
Every platform and outcome source connected to one governed dataset. Live in weeks.
Anomaly detection running around the clock across platforms and markets.
Every swing given a cause, with evidence your team can check.
Budget shifts modelled with expected impact and confidence.
Incrementality tests and forecast tracking keep every recommendation honest.
The Media AI Insights agent runs sub-agents across your decisions: anomaly watchers monitor every metric, root cause agents investigate each swing, reallocation agents model the marginal return of every channel, forecasters project spend and outcomes, and test designers plan incrementality reads. All of it runs in our own stack, grounded in our media playbooks. Every recommendation ends at a named media lead before any budget moves.
Agents monitor spend, cost, and conversion signals around the clock.
Human checkpoint
Agents investigate auctions, competitors, tracking, and creative for each swing.
Human checkpoint
Agents model marginal returns and recommend budget shifts.
Human checkpoint
Agents project spend, leads, and revenue with scenario ranges.
Human checkpoint
Agents design geo holdouts and lift tests to read incrementality.
Human checkpoint
Agents surface untapped audiences, markets, and search demand.
Human checkpoint
What changes for you
AI multiplies our output. It never replaces our judgment.
The questions CXOs ask us before signing, answered straight.
It watches every account continuously, catches anomalies the hour they appear, explains why they happened, recommends where budget should move with expected impact attached, and forecasts spend and outcomes. A named media lead approves every recommendation before any budget changes.
No. It recommends; people decide. Every reallocation comes with evidence, expected impact, and a confidence level, and a named media lead on your account approves it before anything changes in the platforms.
Forecasts come with ranges rather than single numbers, and we track their accuracy every month so you can see how much to trust them. Accuracy improves as the model learns your seasonality and markets.
Attribution alone cannot. The agent designs geo holdouts and lift tests that read incrementality directly, and uses lightweight mix modelling to show how channels work together.
Read access to your ad platforms and analytics, plus outcome data from your CRM or sales systems where possible. The richer the outcome data, the more useful the recommendations.
Inside our stack. Models run on our own infrastructure with no external LLM in the request path, access is scoped per client, and your data never trains a public model.
Because our insights come from the studio behind a 7 times conversion uplift, 5 times online sales for Siyaram's, and 189% install growth. An agent that watches every signal, and a media lead who owns every decision.