Hiring, but the AI actually understands the work.

Most hiring tech matches keywords. MatchMaker matches meaning — surfacing qualified candidates that ATS filters miss, with transparent scoring you can defend.

Join the waitlist

Free for job seekers · Pre-launch pricing for recruiters

How it works

Three steps. No keyword theater.

  1. 01

    Parse

    We extract skills, responsibilities, and patterns from job descriptions and resumes. Not just words — the work behind them.

  2. 02

    Embed

    Each entity becomes a vector in semantic space. "Led product roadmap" and "owned feature strategy" live near each other, even if they share zero keywords.

  3. 03

    Match

    We rank candidates by genuine fit and explain every score. No black boxes, no mystery rejections.

The difference

Same job. Same candidates. Two very different result sets.

This is what keyword matching costs you.

The ATS way

  • 12 candidates rejected for missing the exact phrase "B2B SaaS"

  • Top match: someone who copy-pasted the job description into their resume

The MatchMaker way

  • 8 of those 12 surface as strong matches based on equivalent experience

  • Top match: actually qualified, with a defensible explanation you can show your hiring manager

The proof
0%

faster time-to-hire

0%

match accuracy

0×

better candidate quality

$0K

average savings on bad-hire costs

Based on industry benchmarks for keyword-vs-semantic matching.

Pricing

What it'll cost when we launch.

Job Seekers

Free

Unlimited matches & explanations.

Recruiters

$500–2K/mo

Full platform + ATS integrations. Based on team size.

Enterprise

Custom

White-label, API, dedicated support.

Be first.

Early access opens [LAUNCH_TARGET]. Waitlist members get 50% off year one and shape the product roadmap.

  • Beta access
  • 50% launch discount
  • Direct line to the team