International Women’s Day 2021 Spotlight: Elizabeth Spears, Chief Product Officer
Sixgill celebrates #InternationalWomensDay2021 by recognizing and honoring all women’s contributions and achievements starting with our very own CPO, Elizabeth Spears.
Sixgill Featured in insight.tech
Our Chief Product Officer, Elizabeth Spears, sat down with Erica Stevens, to explain how Sixgill Sense is leading the charge when it comes to making no-code custom enterprise platforms a reality.
Dew-able AI: Solving the Mountain Dew Super Bowl Challenge with the Sense AI Platform
In this post, we’ll walk through our approach to the Mountain Dew Major Melon challenge as well as demonstrate how our unified AI Platform can make short work of it.
Our Data Annotation Tool is Now Online!
Our data annotation tool for computer vision has moved online. Sign up for Sense Data Annotation to get started labeling in your browser!
Sixgill And CleanConnect.ai Partner To Shape The AI-Powered Future Of The Oil And Gas Industry
Sixgill’s Unified AI Platform and Computer Vision Technology Enable CleanConnect.ai’s Rapid Go-To-Market with Game-Changing SolutionsSAN FRANCISCO, CA — September 2, 2020 — Sixgill, LLC, a leading...
Sixgill Marries Complete Machine Learning Operations to IoT, Camera Data and Device Management, for Easy Edge AI Solutions Deployments in Sense 3.0
New low-code solutions builder makes it easy to connect cameras, sensors and devices; manage cloud or data center to edge deployments; train, deploy and retrain models, all in one environment, for...
Nordic Lauds Sixgill’s Asset Tracking for Hospitals Battling COVID-19
Hospitals facing Covid-19 surges can track key equipment quickly and easily via data automation AC plug-in wireless hubs and Bluetooth stick-on beacons During the Covid-19 crisis the ability to...
Sixgill HyperLabel™ Developer Now Free With Unlimited Labeling
HyperLabel Studio Services for Modeling and Labeling Also Announced SANTA MONICA, CA, November 5, 2019—HyperLabel Developer – a full-featured desktop application for creating labeled datasets...
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