Basanite conducts AI-powered technical interviews that go deeper than any standardised test. We find the signal that matters — judgment, intuition, and the kind of knowledge that only real experience produces.
Most hiring tools measure how well someone can approximate a good candidate.
Basanite measures whether they actually are one.
Process
No special formatting needed. Basanite accepts the same JD you would post on LinkedIn or Greenhouse.
The system recommends which of eight capability dimensions to assess. You can adjust, add, or remove dimensions.
Candidates receive a link. They upload their CV and enter a 45-minute conversational interview with Basanite.
Basanite asks experience-grounded questions, follows up on vagueness, tracks narrative consistency, and probes for genuine depth.
Each candidate receives dimension-by-dimension scores grounded in specific quotes. You see a ranked queue with full assessment reports.
What we measure
These qualities share a structural feature: they cannot be retrieved from a knowledge base. They are not facts to be recalled or algorithms to be executed. They are capabilities forged through real experience, expressed through real judgment.
The capacity to act decisively on incomplete information, without either paralysis or false confidence.
The irreducible gap between what experts know and what they can say. Practical intelligence that lives in experience, not text.
Recognition-primed judgment that distinguishes genuine experts from those who merely know the vocabulary.
The conditions under which teams correct their own errors before they compound. Can this person create that environment?
The ability to recognise when the team is solving the wrong problem — a capacity actively suppressed by systems that reward convergence.
Not the ability to articulate ethical frameworks, but the capacity to feel the weight of real tradeoffs and navigate them with integrity.
The metacognitive self-awareness that separates those who accumulate experience from those who actually learn from it.
Whether the candidate understands the boundaries of their technical decisions. Valid knowledge has edges; performed knowledge does not.
Design philosophy
The central conviction behind every design decision at Basanite: most hiring tools are optimised for the wrong signal. They measure how well someone can approximate the idea of a good candidate, rather than whether they actually are one.
Each layer of the assessment exists to move one level deeper into signal quality. A candidate who answers fluently at the surface should encounter ground that shifts beneath them at the next layer. The edges of real ability are blurry. Performed ability has no edges.
By anchoring every evaluation to consistent frameworks and explicit scoring criteria, a self-taught engineer without institutional pedigree can be seen as clearly as one from a target university. Both are asked the same questions, in the same spirit, with the same depth of follow-up.
Basanite flags where human expertise is required, produces quotable evidence rather than opaque scores, and positions itself as infrastructure that makes human judgment better — not the mechanism that replaces it.
The best hiring processes leave candidates with a clearer understanding of themselves. Every assessment strategy deployed by Basanite can be honestly explained to the candidate it is applied to.
For hiring teams
For candidates
Stop selecting for interview preparedness. Start selecting for the qualities that actually drive performance in complex, adaptive, AI-era work environments.
Get started with Basanite