Ember Agent.Your New Digital Employee.
Always on
A digital employee that doesn’t clock out.
Every agency has candidates sitting in its database who could become placements. The challenge has always been having enough recruiter time to continuously engage them, consistently respond to every question they have, watch for the right opportunities and act when a match appears.
Ember Agent does that work continuously.
MS/Tele Candidate
via Brightline · SMS
How Ember Agent works
From database to submission-ready.
Understand
Ember uses candidate data and conversation intelligence to understand what each candidate is actually looking for.
Match
Healthcare-specific AI continuously identifies relevant opportunities.
Engage
When a relevant opportunity appears, Ember starts and manages the candidate conversation.
Qualify
Ember learns from the conversation, updates matching preferences and identifies real interest.
Surface
When a candidate is ready for the next step, your team gets a qualified, context-rich opportunity to act on.
Proven at scale
The numbers behind every match.
75%
take a different job than the one they applied for
Your biggest asset is already in your ATS
Put your database back to work.
Candidates are always talking to someone. The question is whether it's you. You've already paid to acquire the people in your database, but most agencies don't have the recruiter capacity to continuously re-engage every candidate, monitor every new job and act on every relevant match. Ember Agent changes that. It continuously works the database you already own, turning dormant relationships into new submission opportunities.
More value from the candidates you've already paid for.
Built for healthcare staffing
Matching that understands healthcare.
Generic AI doesn't understand the nuance of healthcare staffing, or reliably understand what a candidate is actually telling you. Ember was built and trained around the data and context that actually drive placements: specialty, licensing, shift, location, pay, availability, etc.
Up to 99%
matching accuracy
95%
conversation accuracy
Real conversation, correctly understood
Not just chat. Comprehension.
Candidates rarely answer in neat categories. Ember reads real, messy conversation, an offhand comment about a commute, a hesitation about pay, and correctly interprets what it means for the match, so nothing gets lost in translation between a candidate and your team.
From software to workforce