Slow candidate screening leads to dropped top talent. AI Automation qualifies and books interviews instantly.
Recruiters spend 70%+ of their time sifting through irrelevant applications instead of talking to top talent.
When screening takes days, top candidates accept other offers before you even schedule an interview.
Back-and-forth emails to coordinate candidate and interviewer calendars delay the hiring process.
Valuable screening insights and assessment scores get lost across Slack, email, and separate documents.
AI screens, pre-qualifies, and books top candidates into calendars in seconds.
Slow candidate screening leads to dropped top talent. AI Automation qualifies and books interviews instantly.
AI handles the repetitive first layer. Recruiters make the hiring decisions. Less manual screening, faster candidate communication, and more recruiter capacity.
Hiring criteria, required skills, experience thresholds, and rubrics defined.
Uploads role specifications, skill requirements, salary brackets, and screening question rubrics.
"Role: Senior Backend Engineer. Minimum 4+ years Go/Python. Tech stack: Kubernetes, Kafka. Location: Hybrid."
Candidate applies online via careers portal, job boards, or LinkedIn.
Applicant submits application, CV file, portfolio link, or LinkedIn profile link directly.
"Candidate Alex Morgan applied via LinkedIn with 6-page resume and GitHub repository."
Parses resume, extracts skills, and structures applicant profile in 0.6s.
Extracts work history, educational degrees, programming languages, and verified project milestones.
"Extracted: 6 yrs Python/Go, AWS Certified, Kubernetes cluster management, Kafka streaming."
Compares applicant metrics against job requirements and scores compatibility.
Computes role compatibility score based on objective competency metrics and requirements.
"Compatibility Score: 94/100 (Tier-1 Qualified). Core skills match 5/5 requirements."
Asks preset screening questions via WhatsApp or email to verify fit.
Engages candidate via automated chat or voice screening to confirm notice period, salary, and availability.
"Notice period confirmed: 30 days. Salary expectation within budget bracket ($140k-$160k)."
Coordinates calendar availability and books interviews automatically.
Provides candidates direct access to hiring manager interview openings and syncs calendar invites.
"Technical interview confirmed for Thursday at 2:00 PM with Engineering Manager on Google Meet."
Hiring partner receives qualified candidate summary and calendar invite.
Pushes pre-qualified candidate scorecards, chat screening transcripts, and interview notes to Greenhouse/Workday.
"Greenhouse updated with Candidate #C-8912, full dossier, interview scorecard, and meeting link."
Hiring criteria, required skills, experience thresholds, and rubrics defined.
Uploads role specifications, skill requirements, salary brackets, and screening question rubrics.
"Role: Senior Backend Engineer. Minimum 4+ years Go/Python. Tech stack: Kubernetes, Kafka. Location: Hybrid."
Candidate applies online via careers portal, job boards, or LinkedIn.
Applicant submits application, CV file, portfolio link, or LinkedIn profile link directly.
"Candidate Alex Morgan applied via LinkedIn with 6-page resume and GitHub repository."
Parses resume, extracts skills, and structures applicant profile in 0.6s.
Extracts work history, educational degrees, programming languages, and verified project milestones.
"Extracted: 6 yrs Python/Go, AWS Certified, Kubernetes cluster management, Kafka streaming."
Compares applicant metrics against job requirements and scores compatibility.
Computes role compatibility score based on objective competency metrics and requirements.
"Compatibility Score: 94/100 (Tier-1 Qualified). Core skills match 5/5 requirements."
Asks preset screening questions via WhatsApp or email to verify fit.
Engages candidate via automated chat or voice screening to confirm notice period, salary, and availability.
"Notice period confirmed: 30 days. Salary expectation within budget bracket ($140k-$160k)."
Coordinates calendar availability and books interviews automatically.
Provides candidates direct access to hiring manager interview openings and syncs calendar invites.
"Technical interview confirmed for Thursday at 2:00 PM with Engineering Manager on Google Meet."
Hiring partner receives qualified candidate summary and calendar invite.
Pushes pre-qualified candidate scorecards, chat screening transcripts, and interview notes to Greenhouse/Workday.
"Greenhouse updated with Candidate #C-8912, full dossier, interview scorecard, and meeting link."
Technical hiring · Screening · Interview Scheduling
“Applied for Senior Backend Engineer. 6 years Python/Go experience, available in 30 days.”
“Profile matches our distributed systems criteria (94% fit). Do you have experience with Kubernetes and high-throughput Kafka pipelines?”