Lead intelligence that shows its work.

Sales and research teams spend their best hours assembling lists by hand: searching maps, copying numbers, guessing which email still works, and wondering whether a business already has the thing they want to sell. The tools that promise to fix this usually hide where their data came from, and the result is a list nobody fully trusts.

LeadForge is built around one rule: every field carries its source, its collection date and its verification status, and the interface never claims more than the data supports. A missing detection is reported as “not detected”, a phone number is only called a WhatsApp contact when there is evidence, and a lead score is a measure of fit against your own criteria, not a prediction.

Why Nigeria first

Nigeria has a very large population of small and medium businesses, many of which run on a phone number and a WhatsApp line rather than a website. That makes contact discovery valuable and verification essential. It also means the common assumptions baked into international tools, from phone formats to payment rails, do not hold. Starting here forces the product to get those details right: country-aware phone parsing, Paystack billing in naira, and sources evaluated for their coverage of Nigerian businesses specifically.

How expansion works

Nothing in the data model is Nigeria-only. Locations carry ISO country codes, normalization is country-aware, sources are configured per country, and billing supports additional providers and currencies. Adding a market means reviewing and enabling sources for it, not rebuilding the platform.

What we will not do

• Scrape sites whose terms or robots directives forbid it, or bypass logins, CAPTCHAs or rate limits.
• Invent or infer contact details that were not observed.
• Publish customer counts, performance claims or testimonials we cannot substantiate.
• Ignore a correction or removal request from a business.