Bongo was created to address a practical challenge in higher education. A professor at Colorado State University needed a more effective way to assess communication skills in entrepreneurship and business communications courses. After finding that existing tools did not adequately measure how students communicated and applied knowledge, he developed a new solution focused on video-based assessment and feedback.
That solution became Bongo, a platform designed to evaluate not only what learners know, but how effectively they can communicate and demonstrate skills in real-world scenarios.
Initially adopted by colleges and universities, Bongo helped educators assess soft skills through video assignments and structured feedback. As demand for scalable coaching and performance evaluation grew beyond academia, the platform expanded into corporate learning and enterprise training.
Scaling Coaching and Skill Verification
Today, Bongo supports enterprise organizations across sales, partner enablement, and customer success functions by helping teams reinforce learning and verify skills at scale. Learners record video responses that demonstrate their understanding and application of key concepts, enabling organizations to assess practical performance rather than relying solely on traditional testing methods.
The platform combines AI-powered analysis with human-reviewed feedback to help organizations identify strengths, reinforce learning objectives, and support ongoing professional development. A key advancement within the platform is Bongo’s AI Score technology, which automates the evaluation of learner-recorded videos while generating detailed feedback aligned with organization-specific requirements.
Advancing AI-Driven Performance Evaluation
Bongo’s AI Score operates through a multi-step process designed to produce tailored, scalable assessments. Organizations first upload training materials and learning content into the platform, allowing Bongo to generate customized questions and success criteria based on specific business objectives and skill requirements.
Learners then record video responses demonstrating their understanding and application of those concepts in practical scenarios. Using a combination of predefined evaluation criteria, publicly available large-language models, and Bongo’s proprietary algorithms, the platform automatically scores learner performance and provides detailed explanations for each evaluation.
The system is designed to provide actionable feedback with minimal human intervention, helping organizations scale coaching and assessment programs more efficiently.
Addressing Security and AI Bias Concerns
One of the primary challenges facing organizations adopting AI-driven evaluation systems is how to securely use sensitive company information without exposing proprietary data to public AI models.
To address this concern, Bongo developed a patent-pending process that allows learner performance to be evaluated against confidential organizational data while preventing that data from being exposed to public large-language models. This approach enables organizations to use advanced AI capabilities while maintaining control over sensitive information.
The company also developed consensus algorithms to reduce bias and response inconsistencies in AI-generated evaluations. By structuring interactions with large-language models as multi-part conversations and combining them with proprietary evaluation methods, Bongo aims to improve the fairness, consistency, and reliability of assessment outcomes.
As organizations continue to search for scalable ways to measure communication, performance, and applied skills, Bongo’s technology reflects a growing interest in AI-supported learning systems that balance automation, personalization, and data security.
Bongo earned a Gold Stevie® Award for Technical Innovation of the Year – Educational Technology in the 2025 Stevie Awards for Technology Excellence.
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