B2B SaaS
B2B SaaS founders waste 10+ hours weekly manually researching leads, checking LinkedIn profiles, scraping websites, and qualifying prospects against their ICP criteria. This AI-powered lead qualification system runs in the background, automatically researching every incoming lead's company, funding status, team background, and sales approach. The intelligent system integrates with any lead source via webhooks, instantly scoring prospects and drafting personalized outreach emails while the founder focuses on closing deals.
Early-stage founders spend countless hours on repetitive research tasks—googling companies, checking Crunchbase for funding, reading LinkedIn profiles, and manually assessing if each lead fits their ICP. This time-intensive process creates bottlenecks in the sales pipeline, delays follow-up on hot leads, and prevents founders from focusing on high-value activities. Without systematic qualification, promising leads slip through the cracks while time is wasted on poor-fit prospects.
Built an AI-powered research engine that automatically qualifies every incoming lead against custom ICP criteria. The system scrapes company websites, researches founders and contacts using real-time web search, and analyzes fit across multiple dimensions—B2B SaaS model, venture backing, founder-led sales, and inbound approach. Each lead receives an ICP score with detailed reasoning, red flags, highlights, and a personalized email draft. Results push instantly to Slack and CRM for immediate action.
time reduction
10hrs
→ 0 weekly manual research
qualification speed
<
60 seconds per lead
We'll build a working proof of concept for your specific use case. See AI agents execute real tasks in your systems before committing.
Working demo connected to your actual systems
Clear implementation roadmap and timeline
Exact cost estimate and ROI projections