We are building cost attribution and observability for AI workflows. We correlate application traces, model usage, and infrastructure costs to compute cost-per-outcome for each customer for AI systems so that AI teams can do outcome-based pricing. Founding team to build core data platform: ingestion pipelines, cost computation, and analytics infrastructure that scales from thousands to millions of workflow runs.