We are a small team building Lantern in New York. The work sits at the intersection of model evaluation, commerce systems, and design for serious operators.
Each thread compounds. The systems team makes the answers observable; the commerce team turns signals into shippable work; the measurement team proves what moved.
Build the citation telemetry that runs buyer-intent prompts across ChatGPT, Claude, Perplexity, and Gemini — and explains why a recommendation moved.
Turn Citation Score, External Signals and Industry Changes into recommendations a DTC team can ship this week.
Connect every Applied recommendation back to the Brand AI Health delta it produced. The audit log IS the product.
Write down the argument before building the interface.
Prefer a small loop with real customer evidence over a large abstract roadmap.
Treat design, data quality and reliability as product work, not polish.
Keep the output useful to the operator who has to make a decision this week.
No store access. No signup. The first scan lands as a board-ready brief, not another dashboard.