Leadbay

Leadbay targets the hardest part of B2B prospecting: markets where the usual intent signals simply do not exist. Instead of scoring accounts against a universal dataset, the platform builds a model of your market from your own evidence — your site, your positioning, and the deals you actually won and lost. It then reasons outward to find lookalike companies and contacts, producing a ranked list with people, phone numbers and email addresses included. Feedback loops are central to the design: liking, disliking and contacting leads continuously sharpens the model.

The product has moved deliberately toward agentic workflows. The Leadbay MCP workspace ships qualification tooling and a component library natively usable inside Claude, ChatGPT and Copilot, so an AI assistant can search, reason about and qualify accounts rather than only retrieving rows. Sales and marketing knowledge, tasks and widgets can be shared across a team, turning scattered reps' intuition into a common, improvable asset.

Pricing is transparent and seat-based: a free tier for a steady stream of qualified opportunities, then paid tiers at roughly $100 and $400 per user per month as volume needs grow, plus an enterprise motion that pairs a forward-deployed engineer with customer teams. The vendor emphasises GDPR compliance with a dedicated DPO and both European and US data handling, which matters for European go-to-market teams.