A product-first mapping infrastructure representing technical hiring as a physical rail grid.
When a role is opened, our parsing model translates requirements into specific coordinate vectors on our tech network database, establishing your role's central hub station.
The parser maps dependencies. If Kubernetes is requested, it expects AWS EKS or GCP GKE connection lines. If Terraform is mentioned, it tracks IaC nodes.
Candidate portfolios are processed as trains moving along key vertical skills lines. Gaps or incomplete paths are flagged immediately.
Technical profiles span domains of experience. We map their maturity based on vertical transit tracks (Infrastructure, Database, API platforms) to evaluate seniority.
Instead of checking simple keyword presence, the engine tracks crossover connections. If a candidate misses a specific tool, we look for adjacent transit paths.
We measure overlap across required tracks mathematically:
Explore how transit routing compares to conventional keyword screeners.
Python + PyTorch line bridge to JAX environment calculated. Estimated boarding wait: 14 days.
Recruiters can insert custom stations or connect alternative paths. If a candidate displays adjacent capabilities, the system maps the transition timeframe dynamically.
Run candidate simulations in our live matching grid now.
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