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Intuitive AI

  • Hassan Murad and Vivek Vyas co-founded Intuitive AI to combat the global waste crisis. Growing up in Pakistan and India, they saw firsthand how unmanaged waste harms ecosystems. In 2017, they launched Intuitive AI with a mission to make waste management smarter. Their flagship invention, Oscar Sort, uses AI to improve disposal accuracy to 91%—making recycling, reuse, and sustainability simple and measurable.

  • Intuitive AI is reimagining how the world manages waste. Through the Oscar Zero-Waste Platform—featuring Oscar Sort, Pixel, Pocket, Media, and Analytics—we remove confusion at the bin and make waste management data-driven and efficient. Our goal: eliminate burning, landfilling, and pollution across land, sea, and space.

  • Today, Intuitive AI powers sustainability for Fortune 500 companies, airports, universities, and major venues across North America, Europe, Asia, and Australia—all working toward a circular, zero-waste future.

Oscar Sort

  • Most people sort correctly only 30% of the time. With Oscar, accuracy can reach 90% or more—leading to cleaner recycling, less landfill waste, and measurable sustainability impact.

  • Oscar uses computer vision to recognize what you’re throwing away, then shows you the correct bin—recycling, compost, or landfill. Think of it as a smart sorting coach that helps you make the right choice instantly.

  • Yes. Oscar’s computer vision identifies waste items with 99.9% accuracy. What varies is human behavior around the bin — whether people follow Oscar’s guidance. Traditional bins see correct sorting about 30% of the time. With Oscar, accuracy improves significantly, reaching up to 96% in airports, universities, and stadiums. Through clear, interactive signage and gentle gamification, we encourage better habits, but like any behavior change, it takes time.

  • At scale, Oscar will replace confusion with guidance, using AI to teach better sorting in the moment. It builds lasting habits, cleaner streams, and measurable results.

  • Yes. Oscar runs on Edge AI, which processes locally and uses minimal power. Each station helps prevent tons of CO₂ emissions, often saving more carbon than 10–20 cars produce in a year.

  • No. Oscar only recognizes items, not people. It doesn’t record, store, or transmit video or personal data. Privacy is fully protected in every deployment.

  • Oscar collects waste data—like item types, timestamps, and contamination levels—to improve waste management. No personal data is collected or sold.

  • Yes. Oscar complies with GDPR, PIPEDA, and other privacy regulations. It collects no personal data, making it safe for use in sensitive environments.

  • Labels fail because recycling rules vary. Oscar recognizes items directly, giving instant, correct guidance. It also tracks disposal data to help optimize bin placement and education programs.

  • Yes. Visual feedback at the moment of disposal creates lasting behavior change. People learn by doing, not reading signs. Oscar turns confusion into intuitive action.

  • No. Oscar’s results are measurable and transparent—tracking contamination, diversion, and emissions. Every claim is supported by real-time data, not marketing.

  • Oscar is customized to each location’s recycling system. It’s trained on local materials and updated remotely when rules change, ensuring accuracy anywhere.

  • Yes. Using advanced computer vision, Oscar identifies contamination like food residue and distinguishes between materials—even complex packaging.

  • Oscar’s movement and visuals attract attention, improving sorting even with partial engagement. It still collects data to help operators optimize placement and communication.

AI & Recycling

  • Because the rules change from city to city, packaging isn’t designed for clarity, and bins rarely give real guidance. AI tools like Oscar provide simple, location-specific instructions so people know exactly what to do in the moment.

  • Yes—when materials are sorted correctly. Clean, uncontaminated streams are routinely recycled into new products. The challenge isn’t recycling itself; it’s keeping the wrong items out of the bin.

  • Sorting at the source keeps materials clean and valuable. When people sort correctly, recovery rates go up, costs go down, and recycling facilities can actually do their job.

  • A single contaminant can spoil an entire load, sending everything to landfill and increasing operational costs. Correct sorting protects the quality of materials and helps more of them get recycled.

  • Traditional signs and manual sorting can’t keep up with the complexity of modern waste. AI gives real-time guidance, reduces contamination, and generates the data needed to improve recycling at scale.

  • No. AI lowers contamination fees, increases the value of recovered materials, and creates new operational efficiencies. The result is cleaner recycling and lower costs overall.

 

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We love working with journalists around the globe to share our vision for a zero waste world and compelling stories from the community. If you’re a member of the media and would like to talk, please send an email to hello@intuitiveai.ca

 

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