Manufacturers today are facing some tough challenges: a rapidly changing geopolitical climate, ever-evolving consumer demands, concerns around labor cost and availability.
Computer vision technology has made monumental leaps in the last 10-20 years – look no further than self-driving cars as an example of the huge technical accomplishments in the space.
Bright Machines placed #13 on the new Forbes AI 50 – an annual ranking of America’s most promising artificial intelligence companies. Forbes recognized us for our work leveraging AI to solve for the inherent problems afflicting one of the world’s largest and most critical industries – manufacturing.
“Machine learning” gets thrown around a lot. These days it seems like any description of a technological innovation would not be complete without the term “ML” attached to it. Reminds me of “.com” circa 1999. But what does it mean for a machine to truly learn?
Not all automation is created equal. As automation permeates nearly every part of businesses today, there are still lots of exciting opportunities in manufacturing that weren’t feasible even a few short years ago. Picking the right starting point, the right project, is critical to success and buy-in for the next project.
If you’ve been managing a factory floor, you have likely learned the hard way that assembly automation can come at a price: unscheduled downtime. Whether it’s due to malfunctions, making small process changes that turn into big redesigns, or the time-consuming process of reconfiguring a machine...
The way products have been manufactured has evolved significantly over the past decades. Today, most are built in large factories in low-cost regions, primarily in Asia but also increasingly in eastern Europe and South America.
All around us - in our homes, in our cars and in our hands - products are getting smarter. They interact with us - respond to our touch and our voice and adapt to our needs. They are responsive, flexible and intelligent. The same, unfortunately, cannot be said about many of the factories that make these products.
The ability to predict the future is a popular theme in science fiction movies. When presented with the foresight of an imminent accident or catastrophe, a film’s hero will take necessary actions to prevent the undesirable outcome and the benefactors of this action predictably applaud this superhuman power. In the real world, however, the ability to predict the future is met with justified skepticism.
I recently sat down with ex-CEO, Bright Machines board member and all-around manufacturing enthusiast, Carl Bass, for a conversation about industry reality and hype, and of course factory automation. As a fellow skier, I couldn’t resist a question about this topic too!
I recently sat down with ex-CEO, Bright Machines board member and all-around manufacturing enthusiast, Carl Bass, for a conversation about industry reality and hype, and of course factory automation.
We started Bright Machines with our eyes on a tremendous opportunity to change manufacturing for the better. Despite the introduction of automation to factories 30 years ago, fixed hardware investments have greatly limited flexibility and scalability in the factory, and automation’s true potential has yet to be unlocked.
The manufacturing industry has been a relentless adopter of software over the years, pioneering CAD/CAM/PLM systems, ERP solutions and a host of other technologies deployed to get competitive advantage. Their factories, however, turned mostly to lower-cost labor markets to create capacity and new capabilities.
The User Experience (UX) discipline in the technology sector has evolved rapidly over the last two decades and we’ve all witnessed the changes. For example, the transition from button-based phones and keyboard-only interfaces to increasingly powerful yet easy-to-use, touch-based smartphones and tablets.
Companies looking to automate their existing manual processes are typically faced with multiple challenges, from the technical aspects of preparing for this type of deployment, to the internal pushback from an operations team who are already overburdened with their current day jobs.
Today we moved into our new office in Seattle; we announced this move back in December, as part of our continued focus on building an incredible team of software talent in the area.
In our mission to transform industrial automation through Software-Defined Manufacturing, world class software and tools are essential. As an engineer with a background in programming software for the commercial industry, I’m constantly intrigued by how different the experience of developing code is for manufacturing processes.
If you’ve ever traveled internationally, you might recall the experience of stumbling upon the familiar sight of Apple store and the sudden wave of comfort you feel in a foreign place. This is because Apple - like many international brands - has long pursued a standardized model for growing revenue, which translates to a standardized experience for you
Twenty-five years ago, scientist and futurist Hans Moravec predicted the tremendous impact of robotics and artificial intelligence on human society, remarking: “Our artifacts are getting smarter, and a loose parallel with the evolution of animal intelligence suggests one future course for them”
Last week we published Part I of my conversation with Lior Susan, in part II he gives us insights into localized manufacturing, what makes a good CEO and provides a bit of advice for budding entrepreneurs.
I recently sat down with Lior Susan to talk startups, automation and his passion for building companies. In 2015, Lior founded Eclipse Ventures to meet the needs of entrepreneurs building full-stack startups: companies integrating multiple types of technology including hardware with software and data.
The pace of technology innovation in the auto industry over the last decade has been remarkable. Cars are becoming increasingly intelligent with new electrification, autonomy, connectivity and infotainment capabilities.
Over the past 20 years, the electronic design automation (EDA) industry has seen a rapid acceleration of innovation, with improvements made in both methodology and tools to greatly improve design productivity through automation.
From 2003 to 2006, I worked at a contract manufacturing company as a robotics engineer. I was the first software engineer hired by the company, an opportunistic hire by a visionary CEO who saw the importance of automation in manufacturing.
Back in 1962, the notion of a personalized vacuum cleaning robot was a science fiction fantasy, and a staple of the popular animated TV show, “The Jetsons”. Flash forward to 2018, and Roombas are vacuuming our floors, Siri is playing our music and maintaining our schedules, and robo-taxis are shuttling students to and from college campuses.
If you’re like me, you probably get fatigued by tech company jargon.There are times, however, when acronyms are useful in communicating a company’s intent to reinvent a process or concept, not just as it relates to the company but for the benefit of the industry at-large.
Meet our New Software Leader; Seattle office coming soon.At Bright Machines, our vision is to reimagine the manufacturing industry through intelligent Software-Defined Manufacturing. From Autodesk to Google and VMware, our founding team brought with them an incredible wealth of software expertise, but we knew we couldn’t stop there.
Imagine this: a factory where products are made without any humans inside. Design improvements are deployed to the factory a dozen times a day - not annually - without downtime for retooling. When production machines inevitably break, other machines take over within seconds.
Around 1965, Intel co-founder Gordon Moore made a bold prediction based on a historical trend he observed - one that would help guide technology’s evolution over the next 50 years: The number of transistors on an integrated circuit - or, overall processing power for computers - will double every two years.
Many elements determine the success of a new company: Vision, funding, technology, customer need…even luck. However, the most important and often unsung variable in the success (or failure) of a new company is the people who work there.
Making physical products is hard. At Bright Machines, we want to change that by making it as easy to manufacture physical products as it is to create digital ones.