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Matroid makes computer vision simple and accessible to everyone. Matroid is an easy-to-use and intuitive studio for creating and deploying detectors (computer vision models) to search visual media for people, behavior, objects, and events -- no programming required. Once a detector is developed, Matroid can search any live stream or recorded video, providing real time notifications when the object of interest has been detected. Customers use Matroid in construction, manufacturing, security, media, retail and other industries. Matroid reduces operating costs associated with manually searching through video footage for an object or a specific person, and increases efficiency, safety, and regulatory compliance. Matroid can be deployed in the cloud or on-premise and will work with most previously-installed cameras.
Matroid is a thought leader in machine learning and big data with published research, textbooks, and multiple pending computer vision patents. We host an annual global conference Scaled Machine Learning (a.k.a. ScaledML), where we combine industry leaders with hands-on guidance and education about today's most cutting-edge advancements in AI and ML.
Announcing $20M in Funding
Computer vision makes routine wind turbine inspections safer and more efficient.
In a collaboration with Stanford Hospital, Matroid is using computer vision to push the boundaries of Ophthalmology.
Use Matroid to Obfuscate Personal Information
Wired discusses using Matroid detectors to reduce false positives in SFW detection.
Matroid partners with Dell to run Matroid On-Premise on Dell machines.
Build Deep Learning pipelines and integrate them into Matroid.
Create world-class machine learning infrastructure and data systems.
Building advanced computer vision and machine learning tools.
Build a web platform for cutting-edge Machine Learning.
Build Computer Vision models with TensorFlow.
Build a web platform for cutting-edge Machine Learning.
Reza is CEO of Matroid and an adjunct professor at Stanford, conducting research and teaching courses targeting doctorate students. He has served on the Technical Advisory Board of Microsoft and Databricks.
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Pete is a General Partner at NEA, who he joined in 2005 focusing on early-stage enterprise software, services, and systems companies. He is the co-head of NEA’s enterprise software practice group.
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Ion is Executive Chairman at Databricks, CTO at Conviva, and Professor of Computer Science at UC Berkeley, where he works on cloud computing, distributed systems, and networking.
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Vijay Reddy is an Investment Director at Intel Capital, where he leads investments in Artificial Intelligence platforms, algorithms, and infrastructure.
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John is a Managing Partner at Energize Ventures, where he has been leading investments into software companies in the industrials and energy verticals since 2017.
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Matei is a co-founder and Chief Technologist at Databricks, as well as an Assistant Professor at Stanford University. He is the creator of Apache Spark, MLflow, and many other successful projects.
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Ben is the former Chief Data Scientist of O'Reilly Media, and an organzier of Ray Summit, the NLP Summit, and Spark + AI Summit. He advises several companies and also hosts the The Data Exchange podcast.
See more about Ben.