AI-powered screening platform that detects cheating and automates candidate ranking
Fabric automates Round 1 interviews with AI that flags cheating, assesses actual technical ability, and ranks candidates—removing interviewer bottlenecks entirely. The company is in growth-stage hiring (12 open roles, 6 posted in the last month) with a sales-forward org structure (4 sales roles, 3 marketing) and active projects around outbound engine build and GTM playbook—signals of a young, product-market-fit-seeking startup scaling inbound and sales motion simultaneously.
Fabric operates an AI interviewing platform that screens engineering and non-technical candidates at scale. The product detects cheating in real time, measures actual skills rather than interview performance, and auto-ranks candidates to shortlist top performers. The company serves mid-market and enterprise recruiting functions—focusing on reducing time-to-hire and eliminating manual Round 1 screening. Founded in 2025 and based in Bengaluru, Fabric operates with a lean, India-based team and is actively hiring across sales, marketing, finance, and operations to build out go-to-market infrastructure.
Fabric automates Round 1 interviews with AI that detects cheating, assesses actual skills, and automatically ranks candidates—removing interviewer bottlenecks and screening high volumes of resumes without quality loss.
Fabric's ops and go-to-market infrastructure runs on Jira, GitHub, HubSpot, and Google Sheets; finance uses QuickBooks and Zoho Books; internal communication spans WhatsApp, LinkedIn, and Twitter for external reach.
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