COMPUTER VISION SOLUTIONS FOR WASTE MANAGEMENT
What we do
We are a deep learning company providing computer vision solutions to power next generation robotics and smart systems for the waste management industry
WASTE RECYCLING API
Our API recognises waste types such as glass, cardboard, newspaper, cans (tin, aluminium), plastics (black trays, PET, HDPE) and non-recyclables. This enables new ways to measure and optimise a variety of processes in waste management, from collection and transport to automation in recycling plants.
Coverage by Startups Magazine here.
Services
Drawing on the latest research, we provide turnkey computer vision solutions to companies looking to partner for their AI requirements involving image or video datasets.
DATA
We provide tools and processes for data collection and labelling.
MODEL
We select and apply the best approach to train deep learning models for your needs.
Deployment
We deploy on cloud, on device or on premise.
Maintenance
We track and optimise performance over time.
The Team
Combining technical and commercial expertise
Our team has extensive experience in computer vision and deep learning with a track record of building and deploying large scale enterprise solutions.
We are passionate about solving industry challenges that can lead to positive social impact. We are committed to implementing AI in a practical, scalable and ethical way.
Mikela Druckman
Founder & CEO
Mikela has extensive experience in leading cross-functional teams internationally to commercialise deep technology products and services for enterprises. She is a Global Future Council member at the World Economic Forum for AR & VR, and was awarded “TopWomen50” in tech by WeAreTheCity in 2018. Mikela was previously CCO at Blippar. She enjoys working with diverse teams to solve problems using cutting-edge technology.
Nikola Sivacki
Co-founder & Senior Engineer
Nikola has a background in electrical engineering and has spent the last 15 years specialising in neural networks (deep learning) and statistical machine learning. He was the principal contributor in multiple commercial projects including high-noise OCR systems and landmark recognition under difficult out-of-distribution scenarios. He is passionate about applying the latest research to solve challenging problems.
Marco Paladini
Co-founder & Senior Engineer
Marco has a PhD in computer vision from Queen Mary University of London. His experience includes working on warehouse vision systems, robot manipulators, 3D vision and embedded software for mobile robots. He was previously a robotics researcher at Ocado and a senior computer vision engineer at Blippar. Marco loves robotics and automation. He has publications in CVPR, ECCV and other leading computer vision and robotics journals and conferences.
Max Cobb
Senior Software Engineer
Max is a full-stack software engineer turning research into products. He has built leading edge AR frameworks for visual search engines and AR navigation solutions. Max previously led the front-end development for Blippar’s car/auto recognition engine. In his spare time, he enjoys contributing to open source libraries and exploring all things AR and computer vision.
Alisa Pritchard
Head of Marketing & Operations
Alisa has 10 years experience in tech start-ups commercialising computer vision and augmented reality and in multinational companies pioneering nutrigenomics. She has an MBA from Imperial College and was President of the Imperial Marketing & Digital Society. She is a strong believer in the transformative power of deep learning and its applications for social impact.
Krisztian Kovacs
Deep Learning Engineer
As a Machine Learning Fellow at Fellowship.ai Kris enjoyed prototyping and building machine learning models, particularly deep learning models. He has worked on classifiers & object detection models and has extensive experience in computer vision, NLP and structured data. When he isn’t sifting through code, he likes to meditate and read sci-fi novels.
Mikela Druckman, Founder & CEO
Mikela has extensive experience in leading cross-functional teams internationally to commercialise deep technology products and services for enterprises. She is a Global Future Council member at the World Economic Forum for AR & VR, and was awarded “TopWomen50” in tech by WeAreTheCity in 2018. Mikela was previously CCO at Blippar. She enjoys working with diverse teams to solve problems using cutting-edge technology.
Nikola Sivacki, Co-founder & Senior Engineer
Nikola has a background in electrical engineering and has spent the last 15 years specialising in neural networks (deep learning) and statistical machine learning. He was the principal contributor in multiple commercial projects including high-noise OCR systems and landmark recognition under difficult out-of-distribution scenarios. He is passionate about applying the latest research to solve challenging problems.
Marco Paladini, Co-founder & Senior Engineer
Marco has a PhD in computer vision from Queen Mary University of London. His experience includes working on warehouse vision systems, robot manipulators, 3D vision and embedded software for mobile robots. He was previously a robotics researcher at Ocado and a senior computer vision engineer at Blippar. Marco loves robotics and automation. He has publications in CVPR, ECCV and other leading computer vision and robotics journals and conferences.
Max Cobb, Senior Software Engineer
Max is a full-stack software engineer turning research into products. He has built leading edge AR frameworks for visual search engines and AR navigation solutions. Max previously led the front-end development for Blippar’s car/auto recognition engine. In his spare time, he enjoys contributing to open source libraries and exploring all things AR and computer vision.
Alisa Pritchard, Head of Marketing & Operations
Alisa has 10 years experience in tech start-up commercialising computer vision and augmented reality as well as in multinational companies pioneering nutrigenomics. She has an MBA from Imperial College and was President of the Imperial Marketing & Digital Society. She is a strong believer in the transformative power of deep learning and its applications for social impact.
Krisztian Kovacs, Deep Learning Engineer
As a Machine Learning Fellow at Fellowship.ai Kris enjoyed prototyping and building machine learning models, particularly deep learning models. He has worked on classifiers & object detection models and has extensive experience in computer vision, NLP and structured data. When he isn’t sifting through code, he likes to meditate and read hard sci-fi novels.
