Describe the company type you are looking for — its capabilities, market position, supply chain role, or relationship structure — and the graph returns verified matches across 300M+ organizations. No SIC codes. No boolean strings. No taxonomy knowledge required.
Traditional B2B search tools require your team to know what they are looking for before they can look for it. You must map your ICP to a SIC code. You must translate "industrial automation supplier" into a revenue band, a headcount range, and a geography filter. The result is a list of companies that match your filters — not companies that match your intent. Fingerprint Search reads the intent.
"Industrial automation suppliers serving food & beverage plants, expanding their controls-engineering teams."
The same plain-English engine works across every market your team operates in — from precision manufacturing to private-equity sourcing to consumer retail.
"Tier-2 precision machining suppliers to automotive OEMs in the Great Lakes region with ISO 9001 certification and between 100 and 800 employees."
"Bootstrapped SaaS companies in logistics or freight tech with 20 to 150 employees, founded after 2016, generating estimated $5M to $30M ARR, not yet venture-backed."
"Mid-market retailers in specialty apparel with 50 to 300 locations, deploying Shopify or Salesforce Commerce Cloud, showing hiring signals in e-commerce and digital merchandising roles in the last 90 days."
Describe the company type you want in natural language — no codes, filters, or boolean strings.
The graph decomposes your description into a capability fingerprint — capability, scale, geography, hierarchy, and signal dimensions.
Vector and graph traversal run simultaneously across 300M+ resolved organizations to surface true structural matches.
Ranked results return with entity confidence scores, corporate hierarchy context, and signal overlays — ready to pipe into your CRM, AI agent, or sequence.
Keyword and boolean search match against text strings. Fingerprint Search matches against a capability profile constructed from your plain-English description.
Yes. The fingerprint parser decomposes compound queries into dimensional components — capability cluster, geographic constraint, organizational scale, corporate hierarchy position, and real-time signal filter.
GraphIQ programmatically caps immediate fingerprint matches to a couple of thousand companies at most. Our validation models prove that matching accuracy decays heavily past this threshold.
GraphIQ limits initial semantic outputs to a couple of thousand highly resolved company entities because it forces maximum alignment with real-world capability footprints across our 300M+ organization graph.