
Traditional PMP workflows are bottlenecked by manual processes,
outdated taxonomies, and fragmented contextual signals
Multi-Day Cycles
Traditional PMP setup takes days of manual configuration and back-and-forth coordination.
Static Taxonomies
Rigid keyword-based targeting that misses nuanced content meaning and emotional context.
Fragmented Signals
Contextual data scattered across multiple platforms with no unified semantic layer.
Manual Optimization
Deal parameters require constant human intervention without real-time adaptive intelligence.

Sift is an agentic infrastructure layer that sits between demand and supply, enabling fully autonomous programmatic deal creation, optimization, and activation.
It's not a UI tool—it's infrastructure that interprets campaign objectives in natural language, analyzes content at the semantic and emotional level, and autonomously generates optimized PMPs ready for DSP activation.
INPUT LAYER
Natural language campaign objective.
SIFT ENGINE
- Semantic content analysis
- Emotional context mapping
- Automated segment creation
- Deal parameter optimization
OUTPUT LAYER
Optimized PMP → DSP ready

Sift is a fundamental shift from static contextual solutions to autonomous deal intelligence

Three steps from campaign intent to live programmatic deal

Input your campaign goal in natural language.
No manual taxonomy mapping required.
Sift analyzes semantic content and emotional signals at scale across supply inventory.
Optimized PMP is automatically generated with impression-level targeting and pushed to your DSP.

Measurable improvements in speed, scale, and precision for programmatic deal operations
From days to minutes
Real-time semantic context
Rapid testing and iteration
Semantic alignment accuracy
Better Alignment
Semantic understanding ensures demand objectives match supply context at impression level
Faster Learning
Autonomous testing and optimization accelerates campaign performance insights
Reduced Overhead
Eliminate manual taxonomy management and deal setup workflows