Canvas

I’m thrilled to announce that Canvas has been acquired by JLG! Canvas and JLG share the vision that the future of construction will be enabled by a new class of robotic machines. At Canvas, our mission has always been to empower workers to build in bold new ways. Our worker-controlled robots leverage advanced sensing, data, and AI to make material installation more efficient on site. By improving workers’ toolsets, we are making drywall finishing safer and more attractive to a shrinking pool of skilled labor. Joining forces with JLG allows us to accelerate that mission in a much bigger way. JLG has a long history of developing rugged, job-site-ready equipment that empowers workers on construction sites. As the industry leader in the access space, JLG’s vast fleet of machines operates day in and day out on projects across the globe. By combining Canvas’s cutting-edge robotics and AI with JLG’s deep industry experience, innovation, and global scale, we are making our shared vision a reality. I’m incredibly proud of our team and deeply grateful to our customers, partners, and investors who share our vision for the future of construction. We’re excited for what’s ahead—and we’re just getting started.

Oshkosh Corporation announces the acquisition of the core technology developed by Canvas, a construction robotics technology company, to advance JLG Industries long-term strategy to support customers’ needs beyond enabling jobs to executing them. Read the full story: https://lnkd.in/gVm5PT4K

Canvas robots can address the labor challenge and boost productivity 3X at constructions sites. Visit our data center knowledge hub to learn more: https://lnkd.in/gJhBWhP4. #DataCenter #Infrastructure #Construction #Innovation #Robotics

We are excited that Canvas has been awarded the prestigious 2025 Pro Tool Innovation Award (PTIA) for the third year in a row! We are honored to be crowned the winner in the Networking & Technology (Robotics) category once again. This recognition reflects our commitment to building world-class robots that not only boosts productivity for construction companies, but also elevates workers’ safety. Thank you to the PTIA panel of experts, professionals, and industry veterans for the accolade and to the Canvas team for their tireless work! Read the full announcement here: https://lnkd.in/gKYXAS5e

Heading to Blueprint: The Future of Real Estate next week? Be sure to catch Canvas CEO Kevin Albert at this leading event that brings together innovators across real estate, construction, and the broader built world. Kevin will be on the panel “How the New Wave of Robotics Is Transforming Construction” (September 16, 2:40–3:15 PM in Ballroom H) alongside leaders from Dusty Robotics, Tempo Works, Rugged Robotics and Era Ventures. If you’re looking for insights into real adoption, ROI, and the path from pilot to scale for construction robotics, then you absolutely can't miss the session! #Blueprint2025

The bottleneck in data center buildouts isn’t servers - it’s walls. AI demand is exploding, but interior finishing hasn’t kept pace: - Long runs, high ceilings, and tight timelines punish consistency - Productivity drops 50% as height increases - Rework and schedule slip cost real money Watch while we break down why drywall finishing is slowing data center projects and how the Canvas CX platform changes that: spraying and sanding with predictable quality, safer work at high height, and consistent results across the board. To learn more about our CX platform, click the link in the comments below!

The venture model for hardware is broken. Let’s fix it. After nine years as a vc-backed founder, I’ve seen many promising hardware startups gain early traction, raise large funding rounds, then struggle with their go-to-market. Why? Hardware has a different path to success than software, but most people still treat them the same. The playbook for hardware founders to succeed at scale looks more like this: 1. Largest Pain, not Largest Market There’s less competition in hardware because it is so technically challenging. Don’t make it harder by building an umbrella product that inflates your market's size for investors. Align the product with your customer’s biggest pain first, and they’ll be 10x more willing to test and buy your product - even if it’s not perfect. Then expand. 2. Partners First, not Customers The primary goal of deployments with customers should be proof, not revenue. Partner early with customers to clearly define what success means to them. If the deployment doesn’t meet that criteria, iterate. If it works they will happily pay you knowing exactly what your product can do. 3. Scale when You're Ready VC-backed founders are under pressure to chase revenue quickly, forcing many to try to scale incomplete test versions as production products. This mistake will burn your early adopters and ultimately be slower. Take the most direct route to a truly market ready product. Scale once you have it. The old & broken model: Chase early revenue → Rush production → Iterate on vanity metrics The new model: Validate problem deeply → Partner with clear success criteria → Build for scale Hardware takes 3x longer to reach the market, but can become 100x more defensible than SaaS once you do. Do it right and your investors will later thank you for it!

AI is moving at light speed. Datacenter construction? Not so much. Contractors need to deliver 2-4x more data center capacity in the next 4 years to keep up with AI's rapid growth. Yet with manual drywall productivity dropping nearly 50% above 10 feet and the skilled labor pool in new markets shrinking, project timelines have only gotten longer. It's time for a new class of robotic tools to revolutionize the way we build - boosting drywall productivity by 3x with no special training required. We've broken it all down in our latest datacenter infographic so that you can stay ahead. Link in the comments below!

If you build data centers, you are at the epicenter of a technological revolution. To meet demand, developers need to build 2-4x more capacity in the next 5 years than in the previous 25. New markets and a shrinking labor pool demand innovative tools to keep projects on time and on budget. In our latest article with Data Center Frontier, learn how GCs are leveraging drywall robots to: - Accelerate delivery - Maintain consistent quality, even with newer crews - Improve jobsite safety - especially for high-height work - Scale up fast, without taking on more risk Link in the comments below.

Voices of the Industry: How Construction Robots Are Helping GCs Meet Unprecedented Demand “We can’t build data centers the same way we used to.” — Bill Kleyman 🇺🇦 In our latest 'Voices of the Industry' contributed article, Kevin Albert, co-founder and CEO of Canvas, ties in the above quote to make a compelling case for why "drywall robots" should no longer be viewed a futuristic luxury for general contractors (GCs). In fact, they’re increasingly emerging as a critical path solution for hyperscale data center construction. As AI drives record-breaking demand, GCs are being tasked with building 2–4x more capacity over the next five years than in the past 25. But they’re doing it in smaller markets, with shrinking labor pools, tighter tolerances, and heightened scrutiny on quality and safety. Albert explains how Canvas’s autonomous drywalling robots deliver: ✅ 100% productivity at any height (vs. a 50% drop-off in traditional builds). ✅ Rapid setup and training—get new operators up to speed in a week. ✅ Digitally native QA/QC data to optimize workflows and catch issues early. ✅ Safer jobsites, reducing falls and repetitive motion injuries. He writes, “Forward-thinking GCs are leveraging robots to remain competitive and meet project deadlines, especially for critical path work like drywall.” 🏗️ This piece is a must-read for anyone navigating the AI data center construction boom. 📄 Read the full article by Kevin Albert here: https://lnkd.in/edYWHUkX #DataCenters #Robotics #ConstructionTech #CanvasRobots #Hyperscale #DigitalInfrastructure #VoicesoftheIndustry #DataCenterFrontier