Built for real-time decisioning, intelligent optimisation, and transparent execution across every programmatic channel.
Platform in development
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100ms
Bid Response Latency
500k+
Bid Requests / Second
40+
SSP Integrations
99.9%
Platform Uptime SLA
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QLAT
The QLAT Dashboard — full transparency, real-time control
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 fully 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 autonomously adjusts floor prices, pacing, and frequency caps 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 unified in a single 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 configuration. 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
Introducing
RUHI
Real-time User Handling Intelligence
Made in India. Built for the world.
RUHIActive
Real-time Decisioning
Evaluates every impression in milliseconds and determines the optimal action instantly.
Intelligent Bidding
Dynamically adjusts bids based on user intent, context, and performance signals.
Continuous Learning
Learns from campaign data and user behavior to improve performance over time.
Traffic Quality Control
Identifies low-quality and fraudulent traffic to reduce wasted spend.
Autonomous Optimization
Continuously refines campaigns without manual intervention.
Predictive Insights
Anticipates trends and user behavior to optimize before performance drops.
Built to operate at the speed of every impression.
Experience RUHI inside QLAT
Platform in development
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QLAT is in closed development.
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