Who We Are

Matroid makes it simple to detect anything. Matroid is an easy-to-use, intuitive Studio for creating and deploying Detectors (computer vision models) to search video for actions, objects, and events – no programming required. Matroid can be deployed in the cloud or on-premise and will work with existing video infrastructure. Matroid can monitor any live stream or search recorded video, providing real time notifications when events of interest have been detected. Customers use Matroid in security, construction, public relations, healthcare, and more, reducing operating costs associated with manually searching through video footage, thereby increasing efficiency, safety, and regulatory compliance in an ethical manner.

Matroid is a leader in machine learning and big data with published research, textbooks, and multiple pending computer vision patents. Matroid hosts an annual global conference Scaled Machine Learning (a.k.a. ScaledML), combining industry leaders with hands-on guidance and education about today's most cutting-edge advancements in AI and ML.

Recent Blog Posts

Looking at the Human Eye using Computer Vision

In a collaboration with Stanford Hospital, Matroid is using computer vision to push the boundaries of Ophthalmology.

Remove Personally Identifiable Information using Matroid

Use Matroid to Obfuscate Personal Information

Dell Partnership

Matroid partners with Dell to run Matroid On-Premise on Dell machines.

Wired Article Discussing Matroid Detectors

Wired discusses using Matroid detectors to reduce false positives in SFW detection.

Building DIY Human Action Detectors With Matroid

Building DIY Human Action Detectors With Matroid

"TensorFlow for Deep Learning" Book with Code on Matroid GitHub

The "TensorFlow for Deep Learning" Book has been released with code examples on the Matroid Github.

Read more posts

Careers

Deep Learning Engineer

Build Deep Learning pipelines and integrate them into Matroid.

Software Engineer, Machine Learning Infrastructure

Create world-class machine learning infrastructure and data systems.

Computer Vision Scientist

Building advanced computer vision and machine learning tools.

Full Stack Web Engineer

Build a web platform for cutting-edge Machine Learning.

Computer Vision Intern

Build Computer Vision models with TensorFlow.

Senior Full Stack Engineer

Build a web platform for cutting-edge Machine Learning.

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Board and Advisors

Reza Zadeh

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.

See more about Reza.

Pete Sonsini

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. 

See more about Pete.

Ion Stoica

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.

See more about Ion.

Vijay Reddy

Vijay Reddy is an Investment Director at Intel Capital, where he leads investments in Artificial Intelligence platforms, algorithms, and infrastructure. 

See more about Vijay.

Investors