Built like enterprise infrastructure. Runs like a product. Billions of ad requests, six continents, and uptime your revenue can plan around.
Fewer middle layers, fewer no-fills, and a floor engine that learns. Publishers and advertisers see the impact in the first billing cycle — not after an 18-month integration.
Direct deals, header bidding, and open-market bidders compete head-to-head inside a single decision — not split across tools you have to reconcile at the end of the month.
Set priority and weight with a drag. Preview every change before it goes live, and override floors for any partner, geo, or device in seconds.
The floor adjusts itself based on real buyer demand — no weekly tuning, no monthly calibration call. You set the guardrails, we hold the line.
Push a bad setup by mistake? Traffic rolls back automatically to the last setup that was filling. No on-call page, no lost revenue overnight.
Prebid.js and Prebid Server, client-side or server-side, per partner. Every win, no-bid, and timeout logged — you always know who won and why.
PMP, preferred, and guaranteed deals compete in the same auction as open-market — with their own floors and rules, not forked off into a separate tool.
Decide exactly how often a user sees an ad — across devices, by hour or by lifetime. No extra latency, no separate dashboard to manage.
We replaced four vendors with one platform — and watched our net yield climb every quarter since.
Most floors are set once and forgotten, leaving money on the table. Ours tunes itself against live buyer behavior — and shows you exactly why it moved.
Fill history, bid patterns, demand mix, seasonality — the floor adapts to your actual buyers, not an industry average. You set the guardrails; the engine finds the peak.
Every model update runs in shadow against live traffic first. We only promote it after it beats the current version on real outcomes — never before.
If fill rate deviates from normal, the engine flags it in real time — with context on where and why. No more 8 a.m. dashboards showing last night's losses.
For every floor the engine sets, you can see the inputs, the prediction, the action, and the result — logged per tag, per hour. Query it like any other table.
Requests, bids, impressions, bid-level and impression-level fill rate, revenue CPM — broken down by tag, demand partner, and time range. Role-scoped so each team sees only the inventory they own.
Every auction event retained at row level — fill rate by tag, bundle, state, and geo at arbitrary depth. Export via API or hook directly into your data warehouse.
Drop-in JS SDK and raw VAST endpoint — IMA-compatible across Web, Mobile, CTV.
Full CRUD for campaigns, line items, creatives, budgets, tags — scoped per team.
Role-scoped analytics plus Sentinel audit surface — every ML decision captured.
Bring us your current setup — we'll walk through how the auction runs, show you the dashboard on real data, and model the revenue impact for your traffic.