The Eclipse AI

About The Eclipse AI

Built for media buyers who are done reacting.

We started with one frustration: every ad platform tells you what already happened. We wanted one that tells you what happens next — and acts on it.

Our thesis

Predictive, not reactive.

Most advertising tools are dashboards — they report what already happened, hours or days after the budget is spent. The Eclipse AI was built to close that gap: an autonomous system that reads every campaign in real time, forecasts what is coming, and takes action within rules the media buyer sets.

The goal was never to remove the human from the loop. It was to remove the busywork, so strategy and creative direction get the attention they deserve.

How we build

Three commitments
we do not trade away.

Autonomy is only useful if you can trust it. These are the constraints we design inside.

01

Rules before autonomy

AutoPilot never exceeds the budget ceilings, platforms and guardrails you set. Preview every action before enabling live execution.

02

Every action is explained

No black boxes. Each recommendation names the campaign, the signal and the number that triggered it, so you can disagree with it.

03

Your data stays yours

We read your ad accounts to optimise your campaigns. Your performance data is never used to train shared models or shown to anyone else.

04

Reversible by default

Anything AutoPilot changes is logged and revertible. If an automated decision was wrong, you can undo it and tighten the rule.

Your autonomous AI media buyer

Smarter campaigns.
Higher ROAS. Less work.