Maya — the framing and sourcing agent.
Maya manages data, writes postings, defines criteria, and revives talent.
"You've already paid for these CVs. The AI reawakens them for you."
Alicia — the mass qualification agent.
Voice, SMS, WhatsApp. Multi-channel native. Pauses at the recruiter's voice.
"Qualify 50 candidates on a role without growing the team."
Karim — the evaluation agent.
Pre-interview: a 5-step kit. During: live scoring. Post-interview: skill report.
"Conduct technical interviews. Create a report."
Why your current tools no longer hold up.
Your ATS, LinkedIn, interview spreadsheet, and sourcing Word doc don't talk to each other. Your recruiters spend 40% of their time moving data between tools.
ATS + sourcing + AI interview + notetaker + skills-dossier generator + CRM. You've patched the gaps, but they're still there.
Plugged into fragmented data, it proposes confident matches with half the information. The perfect candidate sleeps in your talent pool, and the AI doesn't see them.
Here's what a job posting on Delectus looks like.
From opening the role to the final decision — the OS orchestrates, your recruiters steer.
All of this is the OS.
A complete platform, one database, one graph.
don't float in a vacuum — they rest on an OS that covers the whole cycle, and that gives them access to all your data.
From the title to the full posting, adjustable in 1 click (more technical, formal, concise, engaging).
A kanban of customizable stages (Inbox, Reviewing, Interview, Offered, Recruited…)
The recruiter defines the weights of the AI scoring. The AI is not opaque.
1 click = N jobboards, with no copy-pasting; job postings synced with the careers site.
No-code, brandable, iframe-able, hostable on your domain.
Each card displays its score (Excellent / Good / Average) and its skills tags.
Parsed CV, experiences, skills, scoring, written AI analysis (strengths / gaps) and an assistant that summarizes the profile — all in one place.
For each score, a text that explains strengths, gaps, and why. Anti-black-box.
A rich email editor + SMS (and calendar) directly from the candidate record, multi-channel. No need to switch between tools.
A structured base (profiles parsed from CVs), faceted search (skills, certifications, location, languages, availability…) + AI search, and similar profiles.
The talent pool is not a graveyard, it’s alive.
A reference taxonomy (skills, levels, synonyms) + candidate data consistency; feeds the criteria, the matching, and the scoring.
Internal comments (like / reply), mentions, several recruiters on the same job posting — everyone works on the same base.
Assigned tasks and an activity log (timeline) per candidate and per job posting. Who did what, visible to the team.
A written synthesis and skills (AI badge), AI rephrasing in 1 click (more concise, more technical, translate into English…), versions.
Initials, contact details removed: present the profile to the end client without disclosing the candidate’s identity.
A document ready to send (fixed PDF), editable (Word) or shareable (link)
Pipeline counters by stage, activity tracking, history of recommendations and interviews.
Month / week / day views, interviews and tasks in one place, Outlook / Teams sync.
Pipeline counters by stageVideo, calendar, launching interviews from the record., activity tracking, history of recommendations and interviews.
Two-way calendar and email sync.
Hosting infrastructure.
AI-native, not bolt-on.
