Reduce ATS rejections by extracting real job keywords and boosting scores

Reduce ATS rejections by extracting real job keywords and boosting scores targets a $2.4B = 8M active paying job-seekers & pros × $300 ACV (resume optimization, subscriptions, and services) total addressable market with medium saturation and a year-over-year growth rate of 12% — estimated growth for career services and digital recruitment tools driven by AI-enhanced products (based on LinkedIn/Indeed trends and increased adoption of AI recruiting tools).

Key trends driving demand: AI-driven personalization — Candidates expect fast, tailored resume feedback and tools that act like a knowledgeable coach, which increases conversion potential.; ATS standardization and stricter parsing — As ATS behavior becomes more consistent, simulation and tailored edits deliver measurable improvements in application outcomes.; Shift to outcome-based buying — Universities and career centers demand measurable improvements (interview invites, hires) making performance-based licensing feasible.; Affordable inference and embedding search — Lower costs allow per-resume scoring and batch processing at consumer and institutional scale, enabling API business models..