Autonomous Operations

Your ad ops
team works
24/7.
You don't.

AirOps deploys AI agents that run your CTV and premium video ad operations autonomously — monitoring inventory, optimizing pacing, and maximizing yield. All day. Every day. While you sleep.

Ad operations without the humans.
AirOps Command
Live
Impressions Today
24.7M
+12% vs yesterday
Avg CPM
$18.43
+0.8% yield lift
Delivery
97.3%
On target
Pacing — Last 7 Days
Target
Actual
Channel Inventory
Sports
87%
News
62%
Lifestyle
95%
Movies
41%
Inventory Monitor
Pacing Engine
Yield Optimizer
65%

of CTV inventory still runs on spreadsheets and manual trafficking

Publishers spend millions on ad ops teams doing work that should run itself. FreeWheel, Magnite, SpotX — none of them solve this. They give you tools to manage manually. We give you agents that work autonomously.

The Agents

Three autonomous agents. One ad ops team that never sleeps.

Inventory Monitor

Tracks every available impression across your SSP in real time. Flags anomalies, fills gaps, alerts on underperforming slots — before they cost you money.

24/7 Surveillance

Pacing Engine

Automatically adjusts delivery across campaigns to hit your goals. No more late-night scramble to fix pacing. No more over-delivering and burning budget. It just works.

Autonomous Delivery

Yield Optimizer

Reads demand signals and adjusts floor prices in real time to maximize CPM without killing fill rate. Every impression optimized, always.

Revenue Maximizer
What Changes

The gap between manual ops and autonomous ops.

40%
More revenue per impression
Real-time yield optimization captures value that static floors miss. Our agents adjust on every auction.
12h
Ops time saved per week
Campaigns set themselves. Pacing fixes itself. You stop being the person who babysits spreadsheets at 11pm.
99.7%
Campaign delivery accuracy
Our agents hit your delivery targets within 0.3%. No manual intervention required. No surprises at end of month.

Every major broadcaster runs ad ops with a team of people. They shouldn't have to. The tools exist. The data exists. What was missing was the intelligence layer — the agent that acts on it all, autonomously, in real time. That's what we built.