Screenloop

Screenloop is an AI-native applicant tracking system for in-house talent teams, bundling interview intelligence, notetaking, background checks, referencing, interviewer training and hiring analytics into one platform.

Screenloop is an applicant tracking system built for in-house talent acquisition teams at startups, SMEs and growing companies. Rather than selling an ATS and then charging separately for add-ons, Screenloop bundles a wider Talent Operations Platform into the core product at no extra cost: interview intelligence, Pulse, background checks, referencing, interviewer training and data analytics all sit alongside the standard tracking workflow. The pitch is consolidation, replacing the stack of disconnected hiring tools a recruiting team typically maintains. The interview intelligence layer is the most distinctive part. An AI notetaker joins interviews and captures the conversation, then writes structured notes straight into the candidate scorecard, covering the summary, timeline and clips. Hiring managers can see intro, experience and motivation sections in short form and mark clips against the scorecard, which aims to remove the manual write-up and the chasing of feedback that slows most hiring loops. Alongside that, dashboards and reports turn hiring metrics such as quality of hire, cost per hire and process rates into something that can be shared with leadership. In practice, a team signs in through the web app, runs hiring through the ATS, and the surrounding modules activate as needed. Background checks and referencing are handled inside the same system, interviewer training gives hiring managers a structured way to improve, and Pulse contributes on the experience side. Client case studies published by Screenloop describe the switch process, and the company also offers a first-time buyer guide and an ATS migration guide for teams coming from a legacy system. Screenloop competes with established ATS products and with specialist interview intelligence add-ons. Its case rests on bundling and on the AI notetaker being native to the tracker rather than bolted on. Teams that only need a lightweight resume database may find it heavier than necessary; teams that interview at volume and struggle with scorecard discipline are the natural audience.