Gordon Mcleod

Sense Education is the world’s first artificial intelligence solution for finding patterns and providing personalized feedback in student submissions, Sense allows scalable and personalized education to go hand-in-hand. Sense makes open-ended assignments a scalable alternative to multiple choice questions for Computer Science and other STEM courses with high enrollment. Sense is a hybrid human-machine intelligence solution that helps educators evaluate and provide feedback on open-ended assignments more efficiently, as well as provide students with adaptive learning experiences, by using artificial intelligence. Sense does this in two steps. First, algorithms detect patterns from students’ submissions and break answers down into the natural five 5 to 10-solution types (or clusters) they usually break into. Second, the user, the educator, evaluates and provides feedback to each solution type, rather than to each individual submission. Sense is the first product in the market that allows for the proper use of open-ended assignments in large scale courses by contributing to the scaling and the personalization of education simultaneously. It also increases the quality and detail in personalized feedback and offers adaptive learning experiences. Sense drastically reduces grading time, provides greater accuracy and equity in grading, and allows for more personalized feedback to students.

LiftIgniter helps companies benefit from real-time machine learning-based recommendations using first-party data in their digital properties (web, mobile, email, push, etc), in sections like “Recommended for you” or “You might like.” Personalization is most effective if based on what the consumer is doing at that moment. Our platform detects, processes, and acts on these interest signals in a fraction of a second and at a fraction of the cost of building and maintaining a solution with an internal team. We are the most flexible, powerful, and easy to deploy solution available on the market, touching close to 200 million users worldwide with upwards of 200 billion recommended items per month.

Spectrum Labs harnesses the power of data, AI, and community to rebuild trust in the Internet, making it a safer, more valuable place for businesses, consumers, and societies. Spectrum Labs’ AI-based Trust & Safety platform identifies toxic behaviors across text, voice, and languages enabling Trust & Safety teams to reduce content moderation costs by 50% and increase detection of brand-destroying behaviors by 10x.

Sense Education is the world’s first artificial intelligence solution for finding patterns and providing personalized feedback in student submissions, Sense allows scalable and personalized education to go hand-in-hand. Sense makes open-ended assignments a scalable alternative to multiple choice questions for Computer Science and other STEM courses with high enrollment. Sense is a hybrid human-machine intelligence solution that helps educators evaluate and provide feedback on open-ended assignments more efficiently, as well as provide students with adaptive learning experiences, by using artificial intelligence. Sense does this in two steps. First, algorithms detect patterns from students’ submissions and break answers down into the natural five 5 to 10-solution types (or clusters) they usually break into. Second, the user, the educator, evaluates and provides feedback to each solution type, rather than to each individual submission. Sense is the first product in the market that allows for the proper use of open-ended assignments in large scale courses by contributing to the scaling and the personalization of education simultaneously. It also increases the quality and detail in personalized feedback and offers adaptive learning experiences. Sense drastically reduces grading time, provides greater accuracy and equity in grading, and allows for more personalized feedback to students.

LiftIgniter helps companies benefit from real-time machine learning-based recommendations using first-party data in their digital properties (web, mobile, email, push, etc), in sections like “Recommended for you” or “You might like.” Personalization is most effective if based on what the consumer is doing at that moment. Our platform detects, processes, and acts on these interest signals in a fraction of a second and at a fraction of the cost of building and maintaining a solution with an internal team. We are the most flexible, powerful, and easy to deploy solution available on the market, touching close to 200 million users worldwide with upwards of 200 billion recommended items per month.

Spectrum Labs harnesses the power of data, AI, and community to rebuild trust in the Internet, making it a safer, more valuable place for businesses, consumers, and societies. Spectrum Labs’ AI-based Trust & Safety platform identifies toxic behaviors across text, voice, and languages enabling Trust & Safety teams to reduce content moderation costs by 50% and increase detection of brand-destroying behaviors by 10x.