Kora is a modern hiring platform that helps teams find the best candidate for any role. We turn job applications into structured, role-specific profiles so recruiters and hiring managers spend less time sifting through resumes and more working with the right candidate.


The problem

Hiring is broken at the top of the funnel. Teams trying to fill a role are buried under hundreds of applicants a day, spending hours sorting through resumes while strong candidates wait on the sidelines.

For many organizations, up to 99% of applicants are filtered out at the resume stage and another 90% are removed at the first phone screen. The problem is accelerating as AI-generated resumes, written directly from job descriptions, begin to look similar, and bots further overwhelm the funnel.

The result is a process that wastes time, creates mis-hires, and burns out both hiring teams and candidates.

Time waste

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HR executives at small/mid-sized company report spending up to four hours a day reviewing resumes after getting home from work.

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Mis-hires

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Resumes and early screens fail to surface the best candidates, leading to costly poor-fit hires which may cost a company ~30% of first-year salary.

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Burnout

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Hiring teams report deep frustration with the process, while candidates increasingly turn to low-effort/low-quality solutions or may give up on finding a job entirely.

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Our Customer: Kora is built for HR Executives at small/mid-sized startups: leaders who juggle all of HR alone, with talent acquisition as just one of many responsibilities. Our users are typically pressed for time and operate without the deep infrastructure of larger organizations.

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The solution

Kora transforms the top of the funnel by capturing richer candidate data up front and turning it into structured, visual profiles. Hiring teams can compare applicants fairly, identify the best fits quickly, and spend less time buried in resumes. Kora can operate as a standalone platform or integrate flexibly with an ATS by passing structured candidate information directly into existing workflows.

How it works

📎 Candidate application

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Kora captures richer inputs than a traditional resume would allow.

At the point of application, candidates submit resumes, profiles (LinkedIn, GitHub, etc.), and answer tailored interview questions.

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🧠 AI analysis

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Applications are scored against a job rubric using models derived from the Job Description and hiring team voiceovers.

Kora’s structured grading approach ensures all candidates are graded against the same criteria for better comparison.

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💭 Hiring team review

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Hiring teams receive easy-to-digest profiles that highlight the best candidates for the role.

Kora uses a visual-first layout to convey candidate fit while empowering hiring teams to dig deeper into the details they care about.

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👍 Hiring decision

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Hiring teams make confident choices, fast.

Kora delivers faster, fairer decisions and a stronger candidate match; supported directly in-platform or in the ATS of the user’s choice.

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Our Edge: Kora differentiates itself from traditional resume screeners and ATS filters by:

  1. Capturing rich information up front: By ingesting tailored interview questions and candidate profiles at the point of application we circumvent the pitfalls of attempting to use a resume as the only artifact of candidate fit.
  2. Prioritizing digestibility and scoring: Kora transforms candidate data into structured, visual-first profiles that make fit immediately clear. Hiring teams can quickly identify top candidates and dive deeper only when needed.
  3. Flexible integration: Unlike many products that aim to replace existing systems, Kora can stand alone or seamlessly complement an ATS, fitting into existing workflows without disruption. </aside>

Where we’re at

What next