Detect who is shipping products vs just announcing by curating daily AI signals

Executive Summary

Product teams, VCs and market analysts are overwhelmed by the daily flood of AI announcements and lack a reliable, fast way to tell who is actually shipping products versus just signaling, which leads to wasted diligence and poor procurement or investment decisions. The pain is acute for the roughly 1.5M professionals who buy paid intelligence and team seats and need machine-readable, real-time signals rather than press-release noise. Build a curated daily feed and API that ingests multimodal sources (demos, docs, repos, release notes, usage telemetry), applies automated classification plus a human-in-the-loop verification layer, and outputs a veracity score with structured evidence for each claim. Deliver via team seats and API contracts targeted at ~$2,000 ACV per professional with dashboards, alerts, and exportable signals for downstream tooling. This is an attractive $3.0B market opportunity (1.5M professionals × $2,000 ACV) because enterprises and VCs are increasing spend on data subscriptions and the accelerating pace of AI announcements makes real-time verification high-value. You can stand out by combining scalable multimodal extraction and model-driven scoring with curated human verification and a proprietary training dataset to reduce false positives, but expect real operational challenges around labeling, source reliability, and competitors attempting to replicate simple heuristics.