A SaaS tool that ingests forward deployed engineers' customer interactions (call transcripts, deployment notes, support tickets, integration logs) and uses LLMs to extract structured product proposals, model failure cases, and feature gaps. It then routes each signal to the right internal owner in product, research, or engineering with deduplication, severity scoring, and traceability back to the originating customer.

AI labs and infra companies are scaling forward deployed engineering teams in 2026 to embed with enterprise customers, and they explicitly need a closed loop between field deployments and model/product iteration that manual note-taking cannot sustain.