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    Utkrusht AI

    Utkrusht AI

    Evaluate candidates inside live running prod-systems, no more coding tests or take-home as

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    About this product

    Utkrusht AI is a technical skill assessment platform that evaluates software engineering candidates by having them solve real problems in live production environments, replacing artificial coding tests with observable, job-realistic tasks.

    What is Utkrusht AI?

    Utkrusht AI is a candidate screening tool that replaces traditional coding tests, take-home assignments, and AI interview bots with "Watch-them-Work" assessments. It takes a job description or role template as input and generates a task (debug, refactor, extend, or deploy) inside a live production environment. The platform records the candidate’s session, evaluates their approach, AI usage, debugging, and trade-off decisions, and outputs a ranked shortlist of the top 5–10 candidates with detailed rubrics and video playback.

    Key Features

    • Live production tasks — Candidates work on real deployed applications (e.g., fix a broken API, migrate a DB schema, repair a Kubernetes cluster) in an actual environment, not a simulation.
    • AI usage tracking — The platform records how candidates use AI tools (e.g., whether they copy-paste or reason through suggestions) and flags unethical behavior via proctoring.
    • SmartRank filtering — Recruiters can query specific criteria like “candidates who have worked in startups” to refine the shortlist.
    • 30‑minute assessments — Each task is designed to be completed quickly; 70% of assessments are taken during the workday, with an 85% candidate completion rate.
    • Detailed candidate rubrics — Reports rank candidates on technical execution, problem‑solving, communication, AI use, and contextual fit (salary, location, intent to join).
    • Pre‑built job templates — Choose from a library of customizable role templates, or upload a JD to have the platform extract relevant skills and build a task automatically.

    Who is it for?

    • Tech startups and mid‑sized companies (<5000 employees) — Evaluate full-stack, backend, DevOps, SRE, data engineer, and AI engineer candidates without wasting hours on resume screening or take-homes.
    • Hiring managers and engineering leads — Watch recorded sessions of how candidates debug, make tradeoffs, and use AI in real conditions before investing in interview loops.
    • Recruiters and HR teams — Get a ranked shortlist of 5–10 candidates with objective skill scores, cutting time-to-hire by up to 70% (per platform data from 11,000+ assessments).

    What can you do with Utkrusht AI?

    • For a backend role — Ask candidates to live‑migrate a database schema or refactor a payment microservice; watch how they handle schema changes and transaction safety.
    • For an SRE role — Give candidates a broken Kubernetes cluster to fix and a container to optimize; observe their incident‑response process.
    • For an AI engineer role — Task candidates with improving embeddings in a chatbot; see how they approach retrieval optimization and model tuning.

    How does Utkrusht AI work?

    1. Create a position — Upload a job description or pick a pre‑built template. The platform auto‑generates a relevant live task.
    2. AI builds the task — The platform matches skills and constructs a production‑environment challenge (e.g., a broken API or misconfigured cluster).
    3. Candidates solve it live — They work in the real environment, using any tools (including AI), while the system records the session.
    4. Get your shortlist — In 30 minutes you receive a ranked list of the top 5–10 candidates with video recordings, rubrics, and a “strongly recommended to hire” summary.

    Pricing

    Freemium. Start for free with no credit card required and a quick 5‑minute setup.

    FAQ

    How long does the assessment take?

    Each task is designed to be completed in about 30 minutes. 70% of assessments are taken during the workday, and the platform reports an 85% candidate completion rate.

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    01_LAUNCH INSIGHTS

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    Pricing
    Freemium
    Launch date
    Jul 29, 2026
    Status
    Published
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