AI-Native GTM Tool
Built and integrated a custom AI lead-gen system for a mining exploration tech company. It scans and scores 1,000+ mining companies on a bunch of custom and fully auditable "early adopter" signals to identify the exact individuals within the top 25 companies to target. Strong new signals surfaced daily and automatically converted into personalised outreach materials.
Situation
A quantum sensing startup needed to sell into a market of 1,000+ ASX-listed mining companies with a tiny BD team and no existing GTM motion. Off-the-shelf tools like Clay could not identify the signals that actually matter in deep-tech (eg. geology-specific intent buried in 60-page quarterly filings that no vendor's data model captures).
What I Did
Designed and built a full AI-native BD pipeline solo. Created a custom signal taxonomy with 10 weighted company-level signals and 5 individual-level signals, each linked back to a primary-source PDF scraped through ASX API. Built a scoring formula with recency decay, stacking bonuses, and distress overrides. Added a people intelligence layer to surface the 3 to 5 humans most likely to champion the technology inside each company. Wired the system to push daily high-signal alerts directly to the BD team's chat with outreach angles prepared.
What Happened
Live system running. Top 25 companies re-scored daily. First champion identified per target company with a clear contact rationale. Full evidence trail linking every signal back to a source PDF. The BD team goes into every outreach knowing exactly who to contact, why, and what to say.




















