Most robotics demos live in a lab, but we took ours to NVIDIA GTC to show it in action. While we were then our CEO, Ken Macken gave a talk about what it actually takes to put robots to work in real factories. Our simple iPad interface is designed to make automation accessible and user friendly for anyone on the factory floor. Underneath we have a series of specialized models that run on an NVIDIA powered core that power our industrial robots from our partners including ABB Robotics, FANUC America Corporation and Universal Robots. Our technology learns new parts in under 3 minutes so high-mix manufacturers can finally employ a turn-key robotic workforce for $25 an hour that just works from day one. You can learn more about what WORKR does in Ken's talk below:
Workr
Robotics Engineering
Mountain View, California 2,579 followers
The Robotic Workforce company. Helping manufacturers with getting work done!
About us
Not a robotics company. A workforce company. The US manufacturing labor crisis isn't going away, but traditional automation is too complex and expensive for most manufacturers. Workr built something different: an iPad-controlled robotic workforce that's high-mix ready, deployed in days, and costs $25/hour. This is what solving the labor shortage actually looks like.
- Website
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www.workr.com
External link for Workr
- Industry
- Robotics Engineering
- Company size
- 2-10 employees
- Headquarters
- Mountain View, California
- Type
- Privately Held
- Founded
- 2024
- Specialties
- Robotics, Machine Learning, User Experience, Computer Vision, Perspicacity, Cooperative Perception, Task Learning & Adaptation, and Human Collaboration & Interfacing
Locations
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Primary
Get directions
Mountain View, California 94020, US
Employees at Workr
Updates
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Showing off one of our WORKR workforce at NVIDIA GTC as we help to tackle one of the largest challenges in manufacturing - staffing the dull, dirty and dangerous jobs that people no longer want to do. It was great to showcase our partnership with ABB Robotics and share some insights into how NVIDIA products are core to our technology. We are excited to be building the world's largest workforce company, to help manufacturers to grow and scale for just $25 an hour. If you are a manufacturer with a labor bottleneck, reach out and let's have a conversation. #roboticworkforce NVIDIA Omniverse #futureofwork Ken Macken
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We’re building something pretty special at WORKR, and we’re hiring. The problems we’re solving are very real. Manufacturers everywhere are struggling to find and retain people for repetitive, physically demanding work, and most automation still isn’t built for their reality. At WORKR, we’re changing that by building a robotic workforce that can be trained in minutes, deployed in days, and actually works in the messy, unpredictable environments real factories operate in. To do that, we need exceptional people. Here are just a few of the roles we’re currently hiring for: • Robotics Engineers • AI / Machine Learning Engineers • Deployment & Applications Engineers • Software Engineers • Technical Operators If you’re someone who cares about building technology that actually gets used in the real world, we’d love to talk. See all roles here: https://workr.com/careers Or reach out directly to info@workr.com
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NVIDIA GTC 2026 thanks for having us! The conversations the WORKR team had this week confirmed what we already knew - manufacturers are ready and so are we. The demand for AI-powered workforce solutions is real, it's urgent, and it's accelerating. To every customer, partner, and collaborator who spent time with us at the booth, thank you! Those conversations are what drive us forward and our team is energized and ready to help move those conversation into real-world solutions. Can't wait to show you what's next! #GTC2026 #PhysicalAI #Workr #ManufacturingInnovation #AIWorkforce Michael Gross Bryce Burgess Ken Macken Chitrangada Devulapalli Michelle Dickinson, PhD NVIDIA
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Bin picking, machine tending, and conveyor-fed processes are essential tasks in manufacturing, yet consistently staffing these roles is becoming increasingly challenging. To address this issue, ABB Robotics and WORKR are hosting a live session that explores a new approach to production capacity, one that does not depend on increasing headcount. Join our CEO Ken Macken for a live discussion this week with on how WORKR assists manufacturers in overcoming workforce challenges by rethinking production capacity. The session titled "Turning Repetitive Work into Reliable Production Capacity" will delve into real-world applications, rapid redeployment between parts and workflows, and strategies for enhancing stability in second and third shifts without relying on specialist-heavy systems or lengthy deployment timelines. If labor shortages are impacting your throughput or planning, this session is a valuable opportunity. Thursday, March 26 | 2:00 PM EST Register for free at https://lnkd.in/eHK8YJEv
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Four days, thousands of conversations, and one robot that didn't stop running - NVIDIA GTC was amazing! What made this week different was watching people stop mid-walk when they saw our robot arm moving, and hearing the same thing over and over again: "I didn't realize robots could do tasks like this reliably in industry." They can, thanks to WorkrCore, our robot agnostic AI brain that makes robots smart enough to handle the variability of real high-mix manufacturing. Our series of specialized models means robots can be trained on a new part in under three minutes while running reliably at $25 an hour on an active factory floor. Thanks to everyone who stopped by the booth this week and to NVIDIA for inviting us to showcase our technology on their booth. #PhysicalAI #NVIDIAGTC #Robotics #Manufacturing #WorkrCore Bryce Burgess Michael Gross Chitrangada Devulapalli Ken Macken David Brebner Michelle Dickinson, PhD Ryan Kelly Jonny Sabbath Jeff Burnstein
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WORKR - Automation that supports manufacturing companies! Thanks Jake Hall for covering what we built and were showcasing using ABB Robotics at NVIDIA GTC this year. If you're a manufacturer trying to solve a labor problem today, we should talk.
Over 𝟐𝟎 𝐁𝐢𝐥𝐥𝐢𝐨𝐧 𝐇𝐨𝐮𝐫𝐬 𝐨𝐟 𝐦𝐚𝐧𝐮𝐚𝐥 𝐥𝐚𝐛𝐨𝐫 happens each year in the USA. Operators perform manual tasks that are often repetitive, boring, and sometimes unsafe. But each year, manufacturers continue to struggle. This week, I attended the NVIDIA 𝐆𝐓𝐂 Conference in San Jose to learn about the latest in AI across different industries and to better understand how it will be applied to our specific industry in manufacturing. I had the chance to talk with Ken Macken, the CEO of Workr, who was featured at the NVIDIA booth, about how they support manufacturing companies in growing with an easy-to-deploy market model. Workr currently has customers running production with Physical AI + ABB Robotics, which is providing them with reliable labor in a flexible work environment. While there is a lot of hype around Humanoids. Companies are finding success with #industrialrobots and #cobots today. 𝐀𝐭𝐭𝐞𝐧𝐝𝐢𝐧𝐠 𝐆𝐓𝐂, 𝐭𝐡𝐞𝐫𝐞 𝐰𝐞𝐫𝐞 𝟒 𝐦𝐚𝐢𝐧 𝐭𝐚𝐤𝐞𝐚𝐰𝐚𝐲𝐬 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐞𝐯𝐞𝐧𝐭 𝐟𝐨𝐫 𝐌𝐅𝐆:🤖 The growth of physical AI to help robot development 🤖 Digital twins to create factory simulation plus virtual commissioning 🤖 Robotic foundation models for simulation and real data 🤖 End-to-end stack from chip to full deployment. If you want to learn more about what Workr or ABB Robotics are doing in the Physical AI space for manufacturers. I'll have some info down below! #TheManufacturingMillennial #ABBPartner #GTC #ABBRobotics #RAAS #Automation
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What a week at NVIDIA GTC 2026. Our CEO Ken Macken was on the floor at the WORKR booth and on stage, talking to a packed audience about putting robots to work on the most repetitive, physically demanding jobs in manufacturing, the ones that are genuinely hard to fill and harder to keep filled. A huge thank you to the NVIDIA team for having us! #PhysicalAI #GTC2026 #NVIDIA #Manufacturing #Workr
A lot of fun this last few days being part of NVIDIA #GTC2026 here in the Bay Area. A massive thanks to the team at NVIDIA for having us part of their booth (again) and for inviting my amazing team at Workr to be part of it all. I had a great time presenting to some large audiences this year explaining how our deployed [robotic] workforce are doing some of the most boring, manually repetitive work in the world that not even people want to do it anymore. A massive shout out to Heather McDiarmid Christi DeCuir Sumay Parikh Prathamesh Prem Sankar Andy Ju Arnav Khanna Chris P. Alice Hwang Prachi Mishra and the rest of the NVIDIA crew for their continuous support NVIDIA Omniverse NVIDIA Robotics ABB Robotics
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This is what physical AI looks like in practice and deployed in the real world. Thank you to Alexander Wolf Torres and Diana Wolf T. at DROIDS Newsletter for spending time with our CEO Ken Macken at NVIDIA GTC 2026 and asking exactly the right questions. Behind the interview was a replica of a real system, running at a real customer site, doing the kind of repetitive, physically demanding work that manufacturers struggle to staff and have historically struggled to automate reliably. Tiles picked, tiles placed, over and over again - that's the job and WORKR does it. If you are still at GTC, we are at the NVIDIA booth, come see it for yourself. #PhysicalAI #NVIDIAGTC #Robotics #Manufacturing #Workforce #Workr
Workr is not building flashy robotics. They are building something much more practical, and it shows. This system is already deployed at customer sites. Their demo at GTC emulates one of their customer sites, where tiles are picked up and placed on a conveyor. Over and over again. The kind of job that is hard to staff and even harder to automate reliably. DROIDS Associate Editor, Alexander Wolf Torres interviewed Workr Founder and CEO Ken Macken and dug into how it works. If you are at GTC, stop by the NVIDIA booth and take a look at the Workr demo. As the name implies, this is not a backflipping robot. This is a system doing actual work. #physicalai
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Five companies, one stage, zero fluff at GTC today. Our CEO Ken Macken joined Lightwheel’s Jonathan Stephens, Serve Robotics Rajesh Radhakrishnan, Bedrock Robotics Kevin Peterson and Physical Intelligence Yao (Jason) Lu. for a frank conversation on building the next wave of AI-enabled robots, from the people actually doing it. Thanks Akhil D. and Prachi Mishra from NVIDIA for hosting.
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