A platform that ingests customer call transcripts, deployment notes, support tickets, and Slack threads, then uses LLMs to extract structured product signals (pain points, feature gaps, model failure modes) and route them to the correct product manager, researcher, or engineer with supporting evidence. Includes dashboards that track which customer signals influenced which roadmap items, closing the loop between field and product.

The rise of forward-deployed engineering roles at AI-first companies (Mistral, OpenAI, ElevenLabs, Hadrian, Firecrawl) has created a new bottleneck: humans manually translating customer reality into model and product improvements, exactly the workflow LLMs can now structure reliably.