Wedge

Start exclusively with sourcing food-grade stainless steel TIG welders for food processing conveyor OEMs in the Midwest. This niche has the highest certification requirements and the most acute shortage, allowing the AI to immediately prove its technical vetting superiority. Once established, expand horizontally into aluminum and carbon steel MIG sourcing for parcel sorting and mining conveyor OEMs.

Timing

Advanced voice-capable LLMs now enable automated, conversational technical interviews that accurately probe a welder's knowledge of metallurgy, shielding gases, and joint configurations. This replaces the manual, time-intensive vetting previously requiring a senior shop foreman.

Why This ICP

Conveyor OEMs require high-precision structural welding where a single failed weld ruins expensive material and delays multi-million dollar facility installations. Their intense pain point of production lines halting due to unstaffed welding bays makes them highly motivated, high-ACV buyers compared to general metalworking job shops.

Size Of Prize

Approximately 2,500 US conveyor and material handling equipment manufacturing establishments spend an average of $60,000 annually on external recruiter fees and premium contract labor for skilled trades, creating a $150M addressable prize.

Gap Narrative

Conveyor OEMs face chronic production bottlenecks due to a shortage of certified welders capable of precision heavy fabrication. Current staffing agencies rely on keyword resume matching without evaluating actual technical capabilities or code compliance, resulting in high mis-hire rates, failed shop-floor weld tests, and delayed installation schedules.

Defensibility

Defensibility compounds through proprietary interview-to-performance data. As the AI conducts thousands of technical screens and correlates specific answer patterns with actual shop-floor weld-test pass rates and long-term retention, its vetting model becomes uniquely predictive. This creates a specialized data moat that generic ATS platforms and traditional staffing agencies cannot easily replicate.

Why This Thesis

A Service-as-Software approach fits perfectly because these OEMs do not want another HR SaaS tool; they want qualified welders showing up ready for a weld test. By operating as an AI-powered specialized staffing agency, the solution delivers the exact end-result while capturing agency-level margins through automated execution.