AI hiring agent for modern recruiting
Screen resumes, engage candidates, schedule interviews and run the entire hiring workflow with AI — so your recruiters spend their day on people, not paperwork.
8 yrs · Go, Kubernetes, Postgres96
6 yrs · Java, AWS, Kafka91
9 yrs · Python, Terraform88
5 yrs · Node, GraphQL74
Recruiters should hire talent, not chase admin work
The average requisition burns days on resume triage, scheduling ping-pong and status chasing — none of which is why anyone joined a talent team.
Screening, scheduling, reminders and data entry — before any actual conversation happens.
Every day of delay increases the chance your first-choice candidate accepts elsewhere.
Manual triage under time pressure means good people never make it past the first pass.
Six modules, one hiring system
Use the whole platform or start with screening and grow into it.
AI Resume Screening
Rank every applicant against the job description with an explainable score.
Candidate CRM
Nurture relationships over months, not just the two weeks a role is open.
Applicant Tracking
Every stage from application to offer, with approvals and audit history.
Talent Pool
Search past applicants in natural language and re-engage silver medallists.
Interview Scheduling
Panel availability, timezones, reschedules and reminders handled automatically.
Recruitment Analytics
Time to hire, submission and offer ratios, recruiter productivity, pipeline health.
Rank 400 resumes before your first coffee
Silexa parses every application, matches it against the job description and returns a ranked shortlist with the reasoning attached — so a hiring manager can challenge any score.
- Skill matching — required versus nice-to-have, weighted by you
- Experience matching — depth, recency and domain relevance
- AI scoring — a 0–100 fit score with written rationale
- Resume parsing — PDF, DOCX and scanned files into clean structured data
- Shortlisting — auto-advance above a threshold, always with a human check
Go · Kubernetes · Postgres · 8 yrs96
Strong match on all 5 required skills; led a platform migration at similar scale.
Java · AWS · Kafka · 6 yrs91
4 of 5 required skills; no Kubernetes experience listed, strong distributed systems depth.
Node · GraphQL · 5 yrs74
Below the experience bar for this level; flagged as a strong fit for the mid-level req.
Manage the hiring lifecycle from application to offer
One board per role. Drag to advance, and every move triggers the right email, task and approval.
Applied 412
Screened 36
Interview 11
Offer 2
Hired 1
Candidate CRM
Build long-term relationships instead of restarting from zero on every requisition. Sequences, notes, tags and a full interaction history for every person you have ever spoken to.
- Automated nurture sequences by skill and seniority
- Full interaction timeline across every role
- Consent and data-retention tracking built in
Talent Pool
A searchable, AI-powered database of everyone who ever applied. Ask in plain English and get a ranked list back in seconds.
Automate interview coordination
Silexa reads panel calendars, respects timezones and working hours, offers the candidate real slots and handles every reschedule without a single email thread.
Candidates pick from real availability. No back-and-forth, no double bookings, no 6am invites.
Measure what actually moves hiring
Five reports your leadership team will ask for in the first QBR.
Questions about Silexa Talent
How does the AI scoring work? +
Can we still review every candidate manually? +
How is bias handled in the scoring model? +
Does it integrate with our existing ATS or calendar? +
Transform your hiring process
Send us one real job description and a batch of anonymised resumes. We will show you the ranked shortlist in the demo.