Agentic hiring platform (ATS)
Thirteen agents. Five stages. One of them exists only to check the others. A human always decides. Every agent does one job and does it the same way every time: Alexia briefs them, they hand off to each other, and nothing reaches a decision without you signing it off.
The system, live
Hover any agent to open it: what it does, what sits under it, and where a human decides.
Your feedback loops back, so every hire trains the next

Mason · Job creation
You talk, Mason drafts. Quill turns the brief into interview questions that work, and Compass profiles who you will actually say yes to.
The role brief drafts itself while you speak
Quill writes job-specific interview questions from the brief
Compass builds the profile of what a yes looks like
Human in the middle
You approve the job, the questions and the bar before anything runs.
The roster
Every agent does one job, hands off to the next, and leaves the decision to you. Hover a card to read the file.
a human always decides · consistent by design · private by default
tap a card to read the file
One continuous chain
Why it wins
Six differentiators, each a product capability that delivers a clear benefit. Together they are the reason the whole process runs a minimum of 50% faster. See where the six weeks of a traditional hire actually goes, and how the agents delete the waiting.
Every applicant is AI-interviewed, scored and validated, then advanced automatically. You get a scored shortlist, not a CV pile, with humans in control.
Job posting, ATS, notes and transcription, assessment, video interviewing and scheduling in one login. Many tools become one platform, on one bill.
Agentic automation runs the busywork; your people read the evidence and make the call. Hours saved on every hire, no decision handed to a machine.
Automated email, SMS, WhatsApp and phone comms for scheduling, pipeline moves, offers and courteous disqualifications, plus two-way interview feedback.
Watch top candidate videos with chapters to the key moments. Skills-gap, competency and communication scored automatically and cross-checked for bias by FairLens, AI-led or human-led.
A customisable ATS you control, with a pipeline that advances on scoring or a human decision. Use ours; export to your ATS coming soon.
The line we never cross
Agentic automation runs the busywork: the posting, the screening, the calls, the scheduling, the follow-ups. Your people read the evidence and make the call. No candidate is ever rejected by a machine; every flag is raised for a person to judge, with the reasoning attached.
And you choose how much of the work is AI at all. Run a role fully autonomous, have our recruiters make every call, or mix both, per role, per round, or mid-hire. Either way the candidate lands the same: a recorded, scored dossier on the same rubric. The mode changes. The evidence does not.
Go deeper
Each part of the pipeline has its own page: what the agents do, what the evidence looks like, and where a human decides.


Mason + Quill + CompassYou describe the job in a conversation; Mason builds the JD and the plan, Quill designs the questions, Compass learns your bar.
Explore

Broker + Postman + HunterBroker picks the boards that will perform and shows its reasoning; Postman posts your approved role to them while Hunter finds matched candidates.
Explore
Sift + VeraEvery resume read the same way on arrival, every claim checked on a real call before you meet anyone.
Explore
IrisAI-led or human-led on Team Connect, every interview recorded, chaptered and scored on the same rubric.
Explore
FairLens + PulseBlind mode hides the signals that bias decisions; Audit mode re-runs any analysis; Pulse reads the funnel and proposes the fix.
Explore
Cal + EchoInterviews booked the moment a candidate passes, and everyone hears back, in your voice.
ExploreA customisable ATS you control: your stages, your approval gates, your dial between AI and human.
ExploreThe learning loop
Most systems of record just store what happened. This one learns from it. Your hiring-manager interview outcomes, your feedback on shortlists and your offer-stage decisions are all collected by Echo and distilled into signal by Pulse, then routed back through the crew before the next role opens.
A worked example, one hire to the next
You say
“Strong technically, weak stakeholder skills.” You said it once, in your interview feedback.
02Compass reweights
Stakeholder management moves up the profile, so the bar reflects what you actually rejected on.
03Sift rescreens
New applications are read for stakeholder evidence from the first resume, not the final round.
04Quill asks
A stakeholder-skills question joins the set, so the next shortlist arrives pre-filtered for it.
Echo collects the feedback and outcomes
Pulse turns them into signal the crew acts onIn traditional hiring the lesson lives in one recruiter's head, and it leaves with them. Here it compounds in the platform: every interview outcome, every shortlist comment, every rejected-at-offer reason makes the next search start further ahead.
You decide. The crew learns from the decision, never around it. Nothing is reweighted without your feedback, and no candidate is ever rejected by a machine.
Questions, answered
Direct answers to the questions teams ask before switching to an agentic ATS.
Every agent you meet on this site runs on Alexia. Each one is configured with a primary model and a secondary failover, and each connects to more than 1,000 software products. They range from agents built for a single task to agents that help run whole teams: gathering data, setting goals, creating tasks, and managing work and group chats.
Want to build your own agents? Log into Alexia and start today.
Build your own agents