Orbbit is an AI-driven sales intelligence platform that allows go-to-market teams to discover and engage prospects through natural language search and real-time business signals. Instead of navigating rigid database filters, users describe their target audience in plain English to surface a ranked list of relevant companies and decision-makers. The tool stands out by focusing on why to reach out rather than just who. It monitors public data for specific triggers like leadership changes, funding rounds, or website updates, providing the necessary context to move away from generic templates. Once a prospect is identified, the platform gathers contact details and generates outreach drafts tailored to both the specific business signal and the user’s personal writing style. By combining account research with automated writing, Orbbit positions itself as a middle ground between broad-scale lead scrapers and manual, high-touch sales research. It effectively bridges the gap between identifying a lead and initiating a conversation, making it particularly useful for teams targeting niche markets where timing and relevance are more critical than pure volume.
Problem: Sales teams often waste time reaching out to leads who have no immediate need for their service.
Solution: The platform monitors real-time triggers such as new funding rounds, leadership changes, and hiring trends to identify accounts with high intent.
Example: A SaaS provider can set a monitor for Series B companies that just hired a new CFO to pitch their financial automation software.
Problem: Generic email templates result in low response rates, but manual research for every lead is too slow.
Solution: The tool automatically researches recent company news and individual profiles to draft outreach messages with specific context.
Example: An SDR uses the tool to generate an email that mentions a prospect's recent product launch and explains how their service solves a specific challenge related to that launch.
Problem: Traditional database filters are often too rigid to find specific personas or companies in emerging industries.
Solution: Users can search for prospects using natural language descriptions rather than fixed category tags.
Example: A marketing agency types "AI startups building internal developer tools in the US" to generate a ranked list of relevant decision-makers.
Target audience: Best for: B2B Sales Teams, Sales Development Representatives (SDRs), and Growth Marketing Managers.
Pricing: Free Trial · Categories: Copywriting, Research, Sales
Tags: AI, AI writer, email assistant, Research Assistant, sales