EdTech Case Study

    Manual skills assessment at scale was slow,

    Industry

    EdTech

    Challenge

    Manual skills assessment at scale was slow,

    Solution

    Custom SLM-based real-time assessment engine

    Result

    80% reduction in grading time. Pedagogical

    inconsistent, and disconnected from real learning outcomes.

    integrity maintained.

    The Problem

    Skills assessment in modern education requires nuance. Generic AI models hallucinate, misclassify, and cannot account for pedagogical context. Manual grading cannot scale. The gap between the two was costing time, consistency, and trust in the assessment process.

    What Versai Built

    A real-time student assessment engine built on a custom small language model trained specifically on pedagogical frameworks and domain content. The model was designed for full explainability so educators could understand and trust every assessment output.

    The system was validated against Decision Trust principles before deployment. Every inference traceable. Every output auditable. No black boxes in an environment where trust in the assessment process is foundational.

    The Result

    80% reduction in grading time. Assessment consistency improved across the board. Educators retained full visibility into how every assessment decision was made.

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