DeweyLearn

What DeweyLearn does

DeweyLearn combines classroom audio, video, and learning data to deliver deep insights into instruction and learning. It leverages multimodal AI to drive better educational outcomes, designed for K–12, higher ed, and workforce learning, in both physical and online classrooms. The platform structures an institution’s domain knowledge, rubrics, and standards into clear evaluation frameworks, delivering consistent and accurate performance assessment and evaluation. Over time, it surfaces recurring strengths, gaps, and opportunities to improve learner outcomes and program quality. DeweyLearn turns an organization’s knowledge and expert judgment into a tailored system that evaluates human performance, student work, and live practice the way its best experts would.

Key capabilities

• Structures domain knowledge, rubrics, and standards into evaluation frameworks
• Delivers consistent and accurate performance assessment and evaluation
• Surfaces recurring strengths, gaps, and opportunities in learning
• Custom machine-readable graph of learning drivers
• Assesses recorded performance
• Provides voice-enabled assistance
• Offers real-time guidance and feedback
• Generates evidence-based assessment insights
• Tracks individual learner progress
• Identifies group patterns (strengths, gaps, needs)
• Video capture on local devices and private cloud
• Documents evidence and provides feedback based on organizational experts
• Customizable to an organization’s knowledge, standards, rubrics, and ways of working
• Knowledge graph sharpens with every performance observation, assessment, and evaluation

Use cases

• Instructional effectiveness analysis
• Student mastery assessment
• Cognitive demand evaluation
• Emotional engagement analysis
• Performance assessment and evaluation
• Scaling mentorship
• Evaluating student performance against faculty standards
• Analyzing therapy and clinical training
• Skills assessment and coaching for corporate workforce
• Feedback for learners and instructors
• Guiding learners mid-task
• Tracking learner progress
• Surfacing patterns across cohorts
• Improving learning outcomes
• Program quality improvement

AI approach

DeweyLearn combines classroom audio, video, and learning data to deliver deep insights into instruction and learning. It leverages multimodal AI to drive better educational outcomes by structuring domain knowledge, rubrics, and standards into evaluation frameworks. The system captures expert judgment to build a custom machine-readable graph that evaluates performance, provides real-time guidance, and tracks individual and group progress. The platform is designed to sharpen with every session, feeding observations and assessments into its knowledge graph.

Tech named: multimodal AI, knowledge-graph approach, machine-readable graph

Industries served

• Education
• Higher Education
• Clinical Training
• Healthcare Training
• Workforce Development
• K–12 Education

What it says sets it apart

• Leverages multimodal AI
• Scales mentorship without losing its soul
• Turns observed performance into expert feedback
• Knowledge becomes a system that can evaluate, guide, and learn
• Client-ready by month six (example outcome)
• Private by construction (data remains organizational property, local/private cloud video capture)
• Grounded in evidence (based on observed behavior and custom frameworks)
• Expert in the loop (supplements human judgment, never replaces it)
• Custom by design (tailored to organization's knowledge, standards, rubrics)
• Sharper with every session (insights compound via knowledge graph)

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.