Resolve Gmail PLG signups to company identity + automated PQL scoring

Two related problems plague growth and revenue teams at PLG and revenue-led B2B companies: anonymous or personal Gmail signups break the link between account and user, and reps waste time chasing low-value records without reliable company identity or PQL signals. This affects a large addressable base — roughly 200,000 PLG and revenue-led B2B firms — where hundreds to thousands of lightweight signups per month per company can translate into noisy pipelines and missed expansion opportunities. You could build a privacy-first, server-side identity stitching and enrichment service that resolves Gmail and other personal email signups to corporate entities and returns a calibrated PQL score and confidence band. The product would combine deterministic signals (reverse MX, DNS, IP, known company aliases) with AI-enabled fuzzy matching (transformer embeddings on name, email patterns, behavioral footprint) and ship real-time webhooks, bulk enrichment, and native connectors to Salesforce and HubSpot so GTM teams can act immediately on high-confidence leads. This is an attractive moment: the space is an estimated $8.0B market (200,000 companies × $40,000 ACV), with a Market Score of 95/100 and Revenue Potential at 92/100, driven by PLG proliferation, the decline of third-party tracking, and rapid improvements in entity-resolution models. To stand out you must focus on precision and explainability (minimize false positives), a hybrid deterministic+ML architecture for predictable behavior, strict privacy and compliance defaults, and tight integrations; the main challenges are medium competition, data quality edge cases, and navigating legal/privacy constraints on identity resolution.