Lumorrow is an AI-native ad exchange for publishers, CTV, and OTT platforms. We orchestrate real-time auctions across global demand — and use machine learning to push every impression toward its best possible price.
BUILT ON STANDARDS THE INDUSTRY ALREADY TRUSTS
Every impression you serve passes through a maze of adapters, SSPs, and middlemen. Each layer adds latency, opacity, and cost. Your real yield — what your inventory is actually worth — is buried under it all.
Sequential adapter calls leave money on the table. By the time the auction reaches the bidder who would have paid the most, it's already closed.
Most platforms report after the auction ends. You get a number. You don't get the "why." Optimization becomes guesswork.
Display, video, native, and CTV each live in their own stack. Three dashboards. Three reporting formats. No unified view of yield.
AI scores every bid request in real time — predicting fill, optimal floor, and expected yield before the auction runs.
Display, video, native, CTV, OTT — one auction layer across every format and surface. One reporting view.
Real-time dashboards showing revenue, fill, and eCPM by placement, format, geo, and demand source. Know what's happening as it happens.
DYNAMIC PRICING
Lumorrow's intelligence layer recalculates floor prices per placement, hour, device, and audience segment. Static floors leave yield behind. Dynamic floors capture it.
See how the AI worksINTEGRATIONS
Drop in a JS tag, a VAST endpoint, an OpenRTB connection, or a header bidding adapter. Web, mobile, app, video, CTV — same platform, same reporting.
REPORTING
See revenue by placement and format. Track fill patterns across geos. Spot anomalies before they cost you. The reporting layer is built for operators, not executives.
See reporting featuresTHE ENGINE
Most exchanges bolt AI onto reporting. Lumorrow builds it into the auction itself. Every bid request passes through our intelligence layer before it ever reaches a buyer.
Dynamic floor pricing
Floors recalculated per placement, hour, and user segment — not set once and forgotten.
Bid landscape prediction
Forecast expected CPM before the auction runs, so you can make smarter yield decisions.
Timeout tuning
ML adjusts bidder timeouts per user condition to maximize participation without hurting page speed.
Anomaly detection
Traffic spikes, bid pattern shifts, and delivery anomalies flagged automatically — before revenue drops.
Auction Intelligence Layer
< 100ms
Typical auction decisioning time
99.95%
Platform uptime target
25Bn
Monthly Ad Requests
200+
Active demand sources
Connect your inventory and let Lumorrow's auction engine fight for the best price on every request. Web, mobile, video, CTV — integrated in under a day.
See publisher features →Access verified, format-diverse inventory through clean OpenRTB endpoints. Full supply chain visibility. No hidden hops.
Become a demand partner →Pre-bid decisioning across floors, timeouts, and routing.
Dozens of DSPs, SSPs, and direct buyers competing in real time.
VAST 4.x, ad pods, and OpenRTB 2.6 CTV object compliance.
OpenRTB, JS tag, VAST, or header bidding adapter.
ads.txt, sellers.json, and schain on every request.
Revenue, fill, eCPM, and viewability — as it happens.
FROM THE BLOG
Notes on auction intelligence, transparency, and the programmatic supply chain.
CPM, CPC, CPA, CPV — digital ad pricing models decide who carries the risk between publisher and advertiser. Here's what each one means, how they differ, and when each is used.
As third-party cookies fade, the industry needs a new way to recognize users across the web. Identity resolution and universal IDs are the answer — or answers, plural. Here's how they work, the main approaches, and why no single one has won.
A data clean room lets two parties combine their data to find overlap and measure results — without either side seeing the other's raw records. Here's how clean rooms work, what they're used for, and why they've become central to privacy-safe advertising.
Sign up, integrate, and see Lumorrow compete for your inventory within a day.
