Built for real-time decisioning, intelligent optimization, and transparent execution across every programmatic channel.
Platform in development
Scroll
100ms
Bid response latency
500k+
Bid requests / second
40+
SSP integrations
99.9%
Platform uptime SLA
How it works
Intelligence built into every bid
QLAT's decisioning engine evaluates thousands of signals per impression — in real time — to place the right bid, at the right price, on the right inventory.
Step 01
Signal ingestion
QLAT ingests first-party data, contextual signals, and audience segments in real time. Every signal is traceable and auditable.
Step 02
AI bid scoring
A multi-model AI stack scores each impression against campaign KPIs — factoring predicted conversion probability, brand safety, and bid shading logic.
Step 03
Real-time execution
Bids submitted within 100ms via OpenRTB 2.6. The engine adjusts floor prices, pacing, and frequency caps autonomously across every auction.
Step 04
Transparent reporting
Every impression, click, and conversion logged with full auction metadata. See exactly what was bought, where, and at what price — always.
Core capabilities
Everything a modern DSP should be
Programmatic bidding engine
Sub-100ms bid responses via OpenRTB 2.6. Display, video, CTV, native, and DOOH from a unified interface.
AI campaign optimisation
Continuous model retraining on live data. Auto-adjusts bids, budgets, and targeting to maximise ROAS without manual intervention.
Transparent media buying
Full auction-level reporting. Every impression, bid price, clearing price, and win rate visible — no walled gardens, no hidden fees.
Brand safety & fraud prevention
Pre-bid IVT filtering, contextual brand safety scoring, and domain blocklisting — built in, not bolted on.
Audience graph & segmentation
Build, activate, and suppress audiences using first-party data, lookalike modelling, and cookieless identity solutions.
Open API & integrations
REST & GraphQL APIs for trafficking, reporting, and bidder config. Native integrations with CDPs, CRMs, and measurement vendors.
Real-time bidding
From signal to served ad in milliseconds
QLAT's auction pipeline is purpose-built for speed. Every step is parallelised, every decision is logged.
Bid Request
SSP / Exchange
Signal Parse
Enrichment
AI Score
ML Model
Bid Shade
Price Engine
Win / Log
Auction Result
Ad Served
Impression
End-to-end pipeline completes in under100ms
Platform in development
Be first in the queue
QLAT is in closed development. Join the early access list and we'll reach out when we're ready for you.