Find'M
Stop sourcing. Start mapping your ATS.

Your best hires are
already in your ATS.

Your Applicant Tracking System is a graveyard of silver medalists and past applicants. Find'M's AI connects to your ATS to deep-scan thousands of unstructured resumes in milliseconds, surfacing the perfect candidate you paid to acquire years ago.

Deep Native Integrations

Greenhouse Workday Lever Ashby

The Nexus of your Dark Data.

Traditional keyword searches fail because resumes are messy, contextual, and evolve over time. We plug directly into your current ecosystem, creating a real-time semantic map of every person who has ever interacted with your brand.

Find'M
AI CORE
Greenhouse
Workday
Lever
Ashby

Recruiting
Redefined by Neural Nets.

We aren't just parsing resumes. We are understanding career trajectories, latent skills, and human context at a scale impossible for mortal recruiters.

Semantic Vector Search

Boolean strings are dead. You need a "leader who scaled backend systems during hypergrowth." Our AI translates intent, finding candidates who did the work, even if they didn't use the exact keywords.

Query Input
"Built distributed systems at a startup"
Matches: "Architected Kafka event pipeline at 50-person SaaS"

The "Silver Medalist" Resurrection

Candidates grow. The junior dev you rejected 3 years ago might be the Senior Lead you desperately need today. Find'M continuously monitors public data (GitHub, LinkedIn) to update profiles lying dormant in your ATS.

Now
202220232024

Hyper-Personalized Outreach

When Find'M identifies a match, it drafts an email citing specific context: past interviews, recent projects, or shared connections. No generic spam.

Bias Reduction Engine

Our vectorization process evaluates required skills and output, completely bypassing demographic markers or pedigree biases that humans subconsciously favor.

40%
Reduction in Time-to-Hire
3.2x
Higher Response Rate
0ยข
Spent on External Sourcing