Enabling Scalable AI-Based Evaluation for a Global Debate and Learning Platform
A global education technology platform offering debate, reasoning, and academic skill-building programs across 30+ countries needed to automate and scale its evaluation processes. The goal: ensure secure, consistent, and real-time assessment of thousands of students participating in live and asynchronous competitions.
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Challenge
Solution
The Outcome
The Challenge
Manual scoring and proctoring workflows were limiting scalability and impacting evaluation consistency.

Inability to validate session authenticity in real time & Inconsistent scoring

To evaluate the platform and improve the performance.

High support overhead during peak test windows

Ensuring the platform could handle increasing user numbers and feature expansions without compromising performance.

The Solution
Entrans built an AI-native evaluation engine that combined facial recognition-based proctoring, behavioral tracking, and NLP-based scoring of spoken and written responses—all within a scalable cloud architecture.

Innovation Strategy

Entrans built an AI-native evaluation engine that combined facial recognition-based proctoring, behavioral tracking, and NLP-based scoring of spoken and written responses—all within a scalable cloud architecture.

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Collaborative Approach

Our engineers and data scientists worked with the client’s product and operations teams to align scoring logic, reduce false flags, and optimize for usability.

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Key Initiatives

  • Built real-time proctoring with facial recognition and behavior analysis
  • Developed NLP-based automated scoring aligned with rubrics
  • Integrated evaluation APIs into the client’s core learning platform

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Quantitative Results:

  • 95% automation in evaluation workflows
  • Real-time monitoring for over 10,000 concurrent sessions
  • 40% drop in support queries related to scoring or proctoring

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Business Transformation

The platform is now capable of delivering consistent, real-time assessments at scale—freeing up human resources, reducing evaluation bias, and improving learner experience across global markets.

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The Outcome
With AI at the core of its evaluation framework, the client is now positioned to expand into new learning domains while maintaining quality and scale.

The platform was successfully developed and delivered within a remarkably short timeframe of four months.

The platform effectively monitors and reports foul language during real-time debates.

A highly scalable social platform capable of handling increasing user numbers and future feature expansions.

We have been working with Entrans for the last two years and they have played a key role in building our solution. Their expertise and professionalism were evident throughout the development cycle, and we were very pleased with the final product. They have shown enormous skill and vast domain knowledge and their IT expertise is reliable and trustworthy. We would recommend Entrans for anyone looking for quality IT services, delivered in a professional manner
Nikolay Prokopiev
Chief Executive Officer
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