Screen every candidate. Call only the matches.
AI agents that handle screening conversations for each open position. Pick a role below and try it.
Positions 1 & 3 run general screening with position context only. Positions 2 & 4 show personalized screening — the agent has reviewed the candidate's resume and background before the conversation starts.
Screening doesn't scale.
Of screening before a match
Your recruiters handle 20 calls a week. Only a handful advance. That's the nature of screening — high volume, low conversion.
Coordination time per conversation
Scheduling, timezone alignment, reschedules, no-shows. The logistics often take longer than the call itself.
Engagement from senior talent
The best candidates are selective with their time. High-friction screening processes filter them out before they even start.
Of insights never reach the CRM
Call notes are rushed and inconsistent. Structured data from screening conversations rarely makes it through intact.
Every new position adds screening load. More openings, more calls, more coordination — and the only lever today is headcount. That's the bottleneck.
Automate the conversation. Keep the judgment.
One AI agent per position. Candidates get a link instead of a calendar invite. Both sides exchange real information in a 10-15 minute conversation — and your team only steps in for the matches.
Configure
Feed in the job brief, screening criteria, and disclosure rules. Optionally add candidate context — resume, LinkedIn, GitHub — so the agent starts informed.
Send a link
Replace 'let's schedule a call' with a chat link. Include it in outreach, job postings, anywhere.
Bot screens
A real conversation that starts with context, not from zero. The candidate asks questions too. Both sides share info, both sides filter.
Data flows
Skills, salary expectations, availability, red flags, fit score, full transcript. No manual notes.
You call matches
Review ranked candidates. Pick up the phone when there's a real match — and start the call already informed.
What changes for you
The objection you're thinking
“Candidates won't talk to a bot.”
Senior candidates are selective with their time, not opposed to the process. A 10-minute async chat removes the friction and lets them engage on their terms. Here's why it works:
They ask questions first
Comp range? Tech stack? Remote policy? Candidates evaluate roles too. With Prescreen, they get answers upfront — before committing to a call.
10 minutes, not 60
On their schedule. No calendar coordination, no timezone alignment. Chat at 2am if they want. The friction that holds back senior talent disappears.
Instant closure
No ghosting. No week of silence. They know immediately whether there's a potential match. That alone builds goodwill with your candidate pool.
Transparently AI
No pretending to be human. Faster, available 24/7, and focused on finding a genuine match — not filling a quota.
Starts with context, not from zero
When a candidate's profile is shared, the agent has done its homework. It asks about their actual experience — not generic questions they've answered a hundred times.
Enterprise-ready
Your data stays yours.
Candidate data is sensitive. Compliance teams have opinions. We're building for that from day one.
Self-hosted deployment
Run the entire platform within your own infrastructure. Your servers, your database, your network boundary. Nothing leaves your perimeter.
Bring your own LLM
Use your company's AI provider — Azure OpenAI, AWS Bedrock, self-hosted models. We're model-agnostic. Your API keys, your terms of service, your infrastructure.
Zero data exposure
With self-hosted deployment, candidate conversations never leave your network. Not encrypted-on-our-servers — literally never sent to us. Your infra, end to end.
Compliance-first architecture
Built for teams that answer to legal and InfoSec. GDPR-ready, SOC 2-aligned, and designed so your compliance team says yes.
What this doesn't replace
AI prescreening automates the screening conversation — the highest-volume part of your recruitment workflow. Everything else is still you:
- —Your judgment on who to advance
- —Relationship-building in later stages
- —Domain expertise in matching candidates to roles
- —The final negotiation and close
AI handles the information exchange. Your team makes the decisions.
Where this goes
Building now
Per-position AI screening agents
Each position gets a dedicated AI screening agent. Candidates chat, you review structured results. Your team focuses on evaluating matches, not conducting calls.
Coming next
Personal candidate agents
Candidates get persistent AI representatives that know their skills, preferences, and deal-breakers. Their agent talks to your position agent. They only hear about real matches.
The endgame
Agent-to-agent screening
Position agents publish roles. Candidate agents discover and engage autonomously. Mutual matches escalate to humans. Screening becomes a protocol.
Give your team the capacity to screen every candidate.
We're building this with a small group of recruitment agencies. If you want to scale screening without scaling headcount, we'd like to include you.
No commitment. No spam. Just early access and a conversation about your workflow.