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Executive Summary

Sales, marketing and procurement teams across the roughly 25 million global SMBs — and larger mid-market accounts supporting them — struggle to obtain timely, deterministic B2B signals and contact data; datasets are fragmented, often stale, and expensive, driving an estimated $95.0B annual market (25M SMBs x $3.8K avg spend on sales+marketing data and tools). The move away from third‑party cookies has amplified this pain, leaving teams dependent on manual research, brittle enrichment vendors, or costly subscriptions that don’t deliver real‑time supplier, lead, or competitive intelligence. You could build an automated, high‑speed B2B data capture platform that continuously ingests public company registries, websites, job postings, procurement portals, social profiles and partner APIs, then applies LLM‑based parsing and entity resolution to produce deterministic contacts, supplier maps, and change signals with provenance. Deliverables would include deduplicated lead feeds, supplier discovery pipelines, competitive monitoring alerts, and low‑latency REST/streaming APIs plus native CRM/CDP integrations for immediate activation. This opportunity is attractive now: the market score is 95/100 and revenue potential 92/100 because three converging trends lower both cost and time to value — cookieless targeting increases demand for first‑party and deterministic B2B signals, modern LLMs dramatically reduce parsing and normalization engineering, and the proliferation of public registries and data APIs reduces exclusive crawl barriers. That said, the window favors teams that can move quickly to operationalize models and lock in key API/data partnerships before incumbents adapt. To stand out you’ll need to be explicit about measurement and guarantees: prioritize deterministic accuracy metrics, clear data lineage, SLAs, and verticalized coverage rather than broad but shallow claims. Strengths include leveraging LLMs to accelerate build and focusing on API partnerships and CRM workflows for rapid adoption; the main challenges are sustaining data quality at scale, navigating privacy/compliance across jurisdictions, and creating enough unique coverage to overcome a medium level of competition.

Executive Summary

Automated high-speed B2B data capture — leads, suppliers, competitors

Executive Summary

Automated high-speed B2B data capture — leads, suppliers, competitors

Executive Summary

Market Validation

Market Opportunity

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