A contact enrichment service that takes minimal input (name, email, or phone) and returns comprehensive profiles through a 4-phase enrichment pipeline — all without external API dependencies.
Email syntax and deliverability checks, phone number format validation, and name parsing into structured components.
Discovers social profiles, public web presence, and digital footprint from minimal seed data.
Company identification, job title inference, industry classification, and organizational hierarchy mapping.
Lead quality scoring based on profile completeness, engagement signals, and ICP fit. Configurable scoring models.
Available as a Go package (pkg/enrichment) that can be imported into any Go project. Not just an API — a library.
No Clearbit, no ZoomInfo, no per-lookup costs. All enrichment runs locally using public data sources and inference models.
Unlike Clearbit or ZoomInfo, Contact Intel runs entirely on your infrastructure. Enrich 10 or 10 million contacts at the same cost.
Not just a service — a Go package you can import. Use pkg/enrichment in any Go project for programmatic enrichment.
Data never leaves your infrastructure. No third-party data processors, no compliance headaches.
Contact Intel uses public data sources, pattern matching, and inference models. No Clearbit, ZoomInfo, or similar paid services required.
Yes. Import pkg/enrichment into your Go project and call the enrichment pipeline programmatically. No HTTP required.
Minimum: a name, email, or phone number. The more seed data you provide, the richer the output profile.
Accuracy varies by input quality. With a full name and work email, professional enrichment accuracy exceeds 85%.
Turn partial contact data into complete profiles. No expensive third-party data subscriptions required.