Who We Are

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.

Recent Blog Posts

Matroid Completes $20 Million Series B Financing to Expand into Manufacturing and Industrial IOT

Announcing $20M in Funding

Automated Defect Detection in Wind Turbines with Computer Vision

Computer vision makes routine wind turbine inspections safer and more efficient.

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

Wired Article Discussing Matroid Detectors

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

Dell Partnership

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

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.

See all jobs

Board of Directors

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.

John Tough

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.

See more about John.

Advisors

Matei Zaharia

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. 

See more about Matei. 

Ben Lorica

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.

Investors