At edYOU Labs, the future of learning takes shape. Our team pushes boundaries in AI and education to create the next generation of personalized student experiences.
We blend leading technology with human-centered design to put students first. Whether building VR field trips or conversational agents that sense emotion, our goal is to unlock engagement and growth.
Come explore the possibilities! edYOU Labs develops breakthroughs that reimagine the role of AI in education.
edYOU’s Patented Technology
Proprietary Ingestion Engine
The Proprietary Ingestion Engine (PIE) is the frontline of our cutting-edge learning platform. PIE intelligently processes massive amounts of data, structuring and filtering information to enable personalized education experiences.
PIE combines machine learning with human insight to ingest data from diverse global sources. Sophisticated bots extract key learnings, generate quizzes, and tag metadata to make information interactive and engaging. PIE’s automated capabilities rapidly process orders of magnitude more content than any human could handle.
Yet humans remain closely involved through oversight and quality control. PIE’s human-in-the-loop approach ensures ingestion aligns with educational standards and ethics. No content reaches learners without thorough vetting.
Once ingested, PIE seamlessly hands off information to our Personalized AI module. Here, individualized learning begins through natural language conversations tailored to each student’s needs and interests. The synergy between PIE and PAI makes edYOU’s personalized education possible.
PIE is education reimagined for the digital age, combining AI capabilities with human compassion. It allows unmatched breadth and depth of knowledge to be presented individually to each eager young mind. PIE is the engine powering the learning platforms of tomorrow, as infinite information transforms into wisdom and potential for humanity.
Intelligent Curation Engine
The Intelligent Curation Engine (ICE) is our innovative approach to fostering safe, ethical artificial intelligence. As AI systems interact with the open web, they risk exposure to toxic content, misinformation, and bias. ICE provides the necessary safeguards. Using a sophisticated combination of metadata and human-in-the-loop monitoring, ICE carefully curates the information reaching edYOU learners.
ICE traces the origins of all data, so educators can understand the sources behind AI responses. Automated flags quickly identify inappropriate or biased content for human review. A customizable matrix blocks offensive language across cultures. ICE provides complete visibility into how the AI is trained, empowering educators to make adjustments.
With our safety and security first approach, ICE prevents hacking or manipulation of training data. This ensures the system reflects diverse global knowledge. The result is an AI platform educators can trust, aligned with their ethics and values.
ICE represents our deep commitment to transparency, diversity, and human oversight of AI. As technology grows more capable, maintaining human accountability becomes even more critical. ICE is setting the standard for AI curation that uplifts humanity. It provides a valuable model of AI built around ethics, not just capabilities. We are pioneering the AI of tomorrow – thoughtful, responsible, and trustworthy.
Intellectual Property
Patent No.
Description
Status
US-20240311688-A1
Apparatus and method for training an educational machine learning model
US-20240312358-A1
Apparatus and method for generating an educational action datum using machine learning
Filed and pending approval
US-20240312360-A1
Apparatus and method for an education platform and ecosystem using extended reality
Filed and pending approval
18/124,018
Systems and methods for personalizing educational content based on user reactions
Filed and pending approval
US-12242945-B1
Apparatus and method for personalization of machine learning models
Granted
US-12125410-B1
Apparatus and method for data ingestion for user specific outputs of one or more machine learning models
Granted
US-20240281211-A1
Augmented formulaic solver of cubic and quartic polynomials
Filed and pending approval
US-11893464-B1
Apparatus and methods for training an educational machine-learning model
Research
August 1, 2024