Continuously enrich and update candidate and client records with real-time data (job changes, skills, contact info) by integrating with sources like LinkedIn, job boards, and email. This ensures a clean, accurate pipeline and supports precise forecasting for tech placements.

Automate candidate and client research—including role matching, resume parsing, and contact detail enrichment—directly from inbound applications and external sources. Routes enriched profiles into your workflow tools or ATS, reducing time spent on screening and qualification.

Cuts manual research time by over 70% (from ~30 min to <10 min/profile), enabling faster shortlist creation and response to open roles—potentially accelerating time-to-fill by 20–30% and supporting higher client satisfaction.

Deploy a foundational setup that maps your Total Addressable Market (TAM), builds a clean candidate database, and integrates seamlessly with your ATS or CRM. Automates blacklist management and ensures all candidate data is workflow-ready for placements and outreach.

Establishes a robust, organized data foundation, reducing duplicated effort and errors. Enables scalable, automated outreach and shortlisting—freeing up 1–2 recruiter days/month that can be redirected to client engagement and candidate experience.