Purpose
Plenty of tools add AI to hiring. What sets Exterview apart is how the intelligence is built, controlled, and compounded, described here by capability, not by comparison to any one vendor.The pillars
Per-customer compounding calibration
Your evaluations are tuned to your bar and improve every cycle. The advantage accrues to you, it isn’t averaged into a shared model.
Reproducible scoring
The same inputs produce the same result, versioned and traceable. Nothing
drifts silently underneath you.
The post-hire loop (coming soon)
D30/60/90 outcomes are designed to feed back into rubrics and role
definitions, quality of hire, not just speed of hire.
Specialized agents
Each hiring stage runs on a purpose-built agent, not one monolithic model
handling everything.
Content-based, human-reviewed
Scoring is grounded in what a candidate says, and a human always owns the
decision.
Above the ATS
An intelligence layer that upgrades your existing stack instead of forcing a rip-and-replace.
Generic hiring AI vs. Exterview
Framed by capability, not vendor. The point isn’t who else is in the market,
it’s what “good” should mean.
FAQs
Isn't 'AI hiring' a crowded space?
Isn't 'AI hiring' a crowded space?
The label is common; the approach isn’t. Per-customer compounding calibration, and a post-hire loop we’re building, are structurally different from serving one shared model.
What's the durable advantage?
What's the durable advantage?
Calibration that compounds inside your organization. The longer you run, the
sharper, and more uniquely yours, it becomes.
Where does Smaya fit?
Where does Smaya fit?
Smaya is a planned companion that answers questions about your hiring data today, with a longer-term direction toward helping coordinate across agents. See the Smaya section for what’s available now versus planned.
Related
Why Exterview
The category and the thesis behind these pillars.
Common Questions
The hard buyer questions, answered.