Pairwise is AI recruiting software for technical hiring, built for engineering services firms, IT services providers, and technical staffing agencies filling specialized engineering roles.
Pairwise turns a job description into structured requirements, then scores candidates against them rather than matching on keywords. That runs across inbound applicants, your existing database, and Pairwise's database (millions of profiles). The same bar applies whether a candidate applied or you went and found them. A recruiter opens a ranked shortlist instead of a folder of 300 resumes. Every score traces back to the requirement that produced it, and the recruiter makes the call.
It was built by founders who ran an engineering services firm for ten years and filled more than 100 hardware engineering roles in a single year with a small recruiting team. The workflow reflects how that team actually worked.
- Job description parsing into structured, editable requirements
- Sourcing across your database and Pairwise's, scored against the same requirements.
- Candidate scoring and ranking against those requirements, with the reasoning shown
- Resume and LinkedIn import, with cross-checks that surface inconsistencies and AI-generated content for human review
- Interview transcript ingestion and summarization
- Candidate sharing with clients and hiring managers, with PII stripped
Fraud signals come from the candidate's own materials: the resume, the LinkedIn profile, and the consistency between them. Firms running hiring spikes can add on-demand recruiters alongside the platform.
Pairwise runs inside the stack you already use. It integrates with any ATS and pulls interviews straight out of Zoom. Your data stays yours: models train on aggregated first-party data only, never shared, never used to train third-party models.
