05 · Research
How Benna learns.
Benna is trained on every bid, impression, click, and conversion that flows through the Boost Boss network. The ranking model is a two-tower retrieval architecture with a conversion head — a design that has become standard in high-throughput recommendation systems.
Context-aware bidding in AI-native applications
A technical note on how Benna models user intent inside MCP-enabled surfaces, including loss formulation, embedding strategy, and calibration approach. Released openly for the research community.
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Context-aware bidding in AI-native applications
Benna research · 2026-Q2 · 18 pages
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