Business professionals moving through a bright glass-walled office lobby

Talent selection with Basanite

Hire the right person, faster

AI-enhanced interviews for more informed and faster hiring, measuring genuine capability, not performed competence.

Backed & recognised by

Y Combinator
Top 10% of S26 applicants
Redwood Founders
Backed by Redwood Founders
The University of Manchester
Masood Entrepreneurship Centre
Stripe
Partnered with Stripe VC

What is Basanite

AI interviewer agents to help you make better hiring decisions.

Today’s typical processWith Basanite
Phone screen
rehearsable
Coding test
AI passes it
First tech interview
wrong signal
Final rounds
Offer

Basanite agent interviews your applicants adaptively from their own CV and briefs your team with evidence on each one.

Basanite co-pilot guides your interviewers live, then ranks each candidate with evidence attached.

Fewer interview rounds, better hiring accuracy.

The problem

The CV and the interview stopped telling you the truth.

A polished CV used to mean effort. A clean coding screen used to mean skill.Both are cheap to fake now.

Résumés wrote by AI to beat your filter.
Once: a real signalNow: noise you can’t read

The old signals still look like signals. They just don’t track the work anymore.

48%

of technical candidates were caught using AI to cheat on assessments.

Fabric HQ · N=19,368

61%

of those who cheated passed the screen anyway.

Fabric HQ · N=19,368

1 in 4

candidate profiles worldwide will be fake by 2028.

Gartner

The reframe

The same tool that broke hiring is the thing worth hiring for.

An engineer who can direct an AI agent to ship real work, knowing what to delegate, what to verify, and when to override, is a genuine multiplier for your team. That’s not something to screen out. It’s the capability you actually want.

The old question

Can they code without AI?

The question now

What can they genuinely do, and how well do they do it with AI in the room?

The dimensions

We measure how engineers think with AI

  • Problem framing
    Can they turn a vague brief into a workable spec?
  • Context handling
    Do they give the model what it needs, or hope for the best?
  • Verification
    Do they check the model’s output, or ship it?
  • Iteration
    When the first answer is wrong, what do they do next?
  • Tool fluency
    Do they know which tool fits which subtask?
  • Judgment under uncertainty
    When the model is confidently wrong, do they catch it?
  • Coachability
    Can they take feedback mid-task and adjust?
  • Communication
    Can they explain what they did and why?

Coding tests assume the candidate works alone. That world is gone.

76% of technical candidates now use AI mid-interview. The question that predicts on-the-job performance has shifted from “can they code without it?” to “how well do they think with it?”

Eight dimensions. One rubric. Defensible scoring.

The impact

What you get back

01
17 hours

of senior engineering time saved per hire.

Replaces the screening + first technical round.

02
30 days

cut from time-to-hire.

From 10 weeks to 6, on average.

03
£10–15k

in mishire risk avoided, per hire.

46% of new hires fail in 18 months. 89% of those failures are signals coding tests don't measure.

04
1 report

behind every hiring decision.

Eight dimensions, scored on the same rubric, every time. Defensible to your board, your team, and the candidate.

See your number

1200
£
£25,000£250,000

Basanite recovers ~£408,000 of your hiring inefficiency.

Math: Ashby 2026, Leadership IQ, SHRM 2025. See the assumptions ↓

The process

How Basanite works

basanite.io/roles/new
Paste job description
Role: Backend engineerSeniority: SeniorCapability profile

Paste your job description

Basanite accepts the same JD you would post on LinkedIn or Greenhouse. Our extraction agent pulls out role shape, seniority, and required capability profile.

Plain textLinkedIn friendlyAny format

Want to see what comes out the other end?

See sample reports

Watch the demo

Four and a half minutes inside Basanite.

For hiring teams

Your hiring decision, with better evidence

  • An interview briefing that gives your team deeper insight into every candidate, enhancing the rest of your interview process rather than just adding another screen
  • Decision-validation that improves hiring confidence while shortening your time-to-hire: fewer rounds, and your engineers stay on the projects that need them
  • Every candidate receives identical assessment quality. The tenth candidate is evaluated as rigorously as the first
  • Dimension scores grounded in specific candidate quotes, not opaque numbers
  • Hirer report designed as a briefing document: what to probe further in the final human interview
Book a call

For candidates

Be genuinely seen

  • A conversation, not an interrogation. Questions grow organically from your own experience
  • No trick questions, no expected answers. We are looking for how you actually think, not how well you prepared
  • Saying “I don’t know” with genuine awareness is treated differently from a confident but hollow answer
  • You receive a personal feedback report, regardless of outcome
Learn more

The team

Built by people who have felt the problem

Engineers and AI researchers from Manchester, building the hiring tool we wish existed.

Aditya Shah

Aditya Shah

CEO

  • Data Analyst and Technology Modeller at Virgin Media O2 (13 month placement)
  • Serial entrepreneur, previously funded startup in edtech
  • Computer Science, University of Manchester
Drew Robertson

Drew Robertson

CTO

  • SWE Intern at The Trade Desk, Rothschild and Co, Cisco
  • ICHack26 1st place, Bloomberg Bpuzzled 1st place
  • Computer Science, University of Manchester
Lynn Zhao

Lynn Zhao

CPO

  • BSc Artificial Intelligence, University of Manchester
  • AI Safety Fellowship at BlueDot Impact, OpenAI, Cambridge
  • UniHack 2025 Digital CleanUp 1st place
8
metacognitive dimensions
2
rounds: think + do
100%
quote-grounded scores
Fewer
rounds, better accuracy

Ready to hire with confidence?

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