The RedBear acquisition is designed to help developers and enterprise clients bring IoT solutions to market faster.
IoT platform provider Particle has announced its acquisition of IoT hardware developer RedBear. This is the company’s first-ever acquisition and they say it was done with the goal of helping developers and enterprises bring IoT solutions to market faster. It’s part of their core strategy of IoT innovation investments that accelerate the business of IoT service providers, developers, and manufacturers from prototype to deployment.
China-based RedBear was founded in 2012 and released its early products with the help of Kickstarter crowdfunding. They plan to bring their expertise in WiFi-enabled IoT hardware and Bluetooth Low Energy to Particle’s product lines.
See also: Particle Rolls Out Mesh Networking Hardware
“Particle is committed to building the best team in the business to enable anyone to create IoT solutions that produce real value,” said Zach Supalla, Particle co-founder and CEO. “The RedBear team impressed us with their track record of enabling IoT makers to bring their ideas to life in a third of the time and a tenth of the cost as in the past. This acquisition enables Particle to bring new products to market faster and scale to meet soaring demands for IoT connectivity, adding valuable expertise from the heart of the electronics industry in Shenzhen.”
Particle had already partnered with RedBear on the development and manufacture of Particle Mesh, a portfolio of Mesh Development kits that give IoT systems the power to capture more date with less cost and more reliability. RedBear has also had partnerships with Amazon Web Services and ARM.
“Particle and RedBear share the same laser focus on creating connected solutions that help product creators at any stage create value with IoT,” said Chi-Hung Ma, CEO of RedBear and Particle Director of New Product Development. “Becoming part of Particle will expand our team’s resources to build innovative hardware solutions that better connect anything to the internet. We’re already at work on more game-changing products and look forward to sharing them soon.”
Sue Walsh is News Writer for RTInsights, and a freelance writer and social media manager living in New York City. Her specialties include tech, security and e-commerce. You can follow her on Twitter at @girlfridaygeek.
Best Practices for Deploying and Scaling Industrial AIArtificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.Link to The Center for Adaptive Edge Intelligence
The Center for Adaptive Edge IntelligenceAdaptive edge intelligence brings real-time decision-making to the point of data creation, whether from sensors, machines, or cameras.Link to The Value of Vehicle Electrification
The Value of Vehicle ElectrificationElectric vehicles (EVs) present automakers with many design, engineering, and manufactu ring challenges.Link to Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT
Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoTDigital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.Link to Smart Manufacturing for Automotive
Smart Manufacturing for AutomotiveLeading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.Link to Center for Data Pipeline Automation
Center for Data Pipeline AutomationAs businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.Link to Center for Automated Integration
Center for Automated IntegrationThe goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.Link to Continuous Intelligence: Insights
Continuous Intelligence: InsightsDigital transformation requires continuous intelligence (CI). Today’s digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
