You may have heard it from our team, but we’re officially heading to ProMat in Chicago, IL this year! ?? Our InFormants, James Roberge and Kate M., will be attending the event and they're excited to see the latest trends and technologies in manufacturing and supply chain. Want to connect? Reach out to James at [email protected] to schedule a time to meet up. See you in Chicago! #ProMat2025 #Formant #SupplyChain #SupplyChainInnovation #MHI
关于我们
Formant is a single platform for robotics companies and integrators to leverage data, build automation workflows, and prove ROI. We're hiring talented people to join our team! https://formant.io/careers/
- 网站
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https://formant.io/
Formant的外部链接
- 所属行业
- 软件开发
- 规模
- 11-50 人
- 总部
- San Francisco,CA
- 类型
- 私人持股
- 创立
- 2017
- 领域
- Robotics、Industrial automation、Cloud infrastructure、Sensing和Machine learning
产品
地点
Formant员工
动态
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Here’s one place you likely haven’t seen Formant yet: in the classroom ?? ? Our Sr. Visual Designer, Michael Galam, is taking his passion for robotics beyond the workplace— leading his local children’s robotics club!?Last week, they were able to explore Formant’s platform and teleoperation to experience how you can remotely operate Alpacabot from anywhere in the world ?? The work we do in the industry is just as important as making sure the future workforce has the chance to learn about robotics, as well. Big shoutout to Michael for leading the charge! #Formant #Robotics #Innovation #TechForGood #RobotsInEducation?
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Wondering how to keep your robot fleet on track this week? Keep reading ?? To successfully scale and optimize diverse robot fleets, operational leaders must track the right performance indicators. ?? Here are five must-have KPIs for operations teams to track: ?? Fleet Utilization Rate – Measure the % of time robots are actively performing tasks. ?? Cross-Fleet Efficiency Gains – Track productivity improvements between different robot types. ? Integration Time – Monitor the time required to onboard and deploy new robots. ? Downtime Reduction – Quantify improvements in predictive maintenance and issue resolution. ?? Cost per Task – Analyze the cost-effectiveness of automation across different workflows. Why it matters: Companies that focus on data-driven fleet optimization see 30% cost reductions and 20% higher uptime (Gartner). What KPIs are you tracking in your robotics operations? Let us know in the comments! #Robotics #KPI #Automation #Efficiency #AIInRobotics #PhysicalAI
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Scaling robot fleets should unlock efficiency, not create chaos. However, as businesses deploy more automation solutions, operational complexity skyrockets. ?? The hard truth: Managing a multi-vendor robot fleet without a unified strategy leads to inefficiencies, rising costs, and major scalability challenges. The data speaks for itself: ?? 70% of businesses struggle with data silos, preventing fleet-wide optimization. (PwC) ?? 85% of robotics adopters cite integration complexity as the biggest barrier to scaling. (McKinsey & Co.) Scale Robotics. Simplify Everything Else. That’s how leading companies turn automation into a competitive advantage. Read the blog: https://lnkd.in/eniS9w3p ?? Stay tuned for Part 2, where we break down how to manage a multi-vendor robot fleet without the headaches, featuring actionable strategies used by industry leaders. #Robotics #Automation #RoboticsManagement #DigitalTransformation #AIinRobotics
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Formant转发了
Stoked to be working with San Francisco Bay Ferry! Check out the video! Great to be working with the awesome team at Blue & Gold Fleet in North Bay and Central Bay. Thanks for being so welcoming and so great to deal with. Excited to maintain your coatings and save fuel and be part of a great ecosystem with other players in the coatings and efficiency ecosystem. Thank you to #interferry for the support that has led to this trial. Having a hub here in #SF is an important milestone. This is a springboard to expanded operations in California, Washington, Alaska, Canada and soon Mexico. We're building robots as fast as we can! Thank you to Hao Nguyen, Josh Purnell, Xavier Doerr, Thomas Hugues, Juvita Janto and the whole AMAZING TEAM at Hullbot for the hustle that got us here. Thanks to our partners at Passenger Vessel Association, Amesto Global, Australian Commercial Marine Group, Maritime Industry Australia Ltd, Defence Trailblazer, Boost VC, Ocean Impact Organisation, Creative Destruction Lab, Startmate, Epicorp Pty Ltd, UNSW Founders, SF Blue Tech, Robotics Australia Group, Circuit Launch, Katapult Ocean, The NRMA, Economist Impact, Formant and others!
We’re excited to share that Hullbot has kicked off?with San Francisco Bay Ferry/WETA! This marks another key step in expanding our presence in the U.S.?sector. Keeping ferry fleets efficient and sustainable is critical, and we're thrilled to showcase how our autonomous hull-cleaning technology can help. Stay tuned as we put our system to the test in San Francisco! Check out the video to see us in action. #MaritimeInnovation #CleanTech #Sustainability #Hullbot #WETA #SanFranciscoFerries
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AI is transforming robotics. But can traditional return-on-investment (ROI) calculations keep up with showcasing these advanced capabilities? Traditionally, demonstrating the value of automation has focused solely on cost savings or labor reduction, which are important but might no longer capture the the whole picture. Robots enabled by AI can provide deeper insights— uncovering data patterns, predicting maintenance issues, and making improved decisions, all in real-time. These capabilities don’t just save costs; they drive innovation, improve workforce engagement, and unlock further uses for physical automation beyond fulfilling tasks. What do you think? #AI #AIInRobotics #Robotics #Automation #Analytics?
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There's no better way to kick off the week than with fresh insights from our CEO and Founder, Jeff Linnell ?? Many thanks to BitBuilders and Gabriele Tinelli for hosting Jeff on the most recent episode... we hope you all enjoy it! #Formant #CEOInsights #Robotics #Automation #AI
From design studios to Hollywood robots to Google - this founder's journey shows why staying tenacious in deep tech pays off. In today's episode of BitBuilders, we had Jeff Linnell, CEO of Formant, share his fascinating path from running an animation studio to leading a company that's revolutionizing how humans interact with robot fleets. Tune in to discover: ? How Jeff went from art school to controlling Hollywood cameras with industrial robots ? Why Google acquired his company and the lessons learned as an acquired founder ? The untold challenges of making robot fleets work together (and why full autonomy isn't the answer) ? Why the future of robotics lies in data infrastructure and human-robot collaboration Want to hear Jeff's insights on building deep tech companies and navigating the entrepreneurial journey from creative industries to frontier tech? Listen to the full episode on Spotify. Link : https://lnkd.in/dKmn96dS
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Unlocking the full potential of AI in robotics starts with understanding its impact. Are you keeping up with how it can unlock new opportunities for your fleet in 2025? ?? Late last year, our CEO,?Jeff Linnell,?and Chief Architect,?James Turnshek,?participated in an insightful webinar exploring how AI is transforming robotic applications, bridging real-world challenges and exciting opportunities. With all the news surrounding AI already stirring up the industry this year, check out their insights to help you and your team understand what applications can benefit you most. Haven't tuned in yet? Watch the discussion anytime on our website- no details or submission needed- just hit play ?? https://lnkd.in/eNKwVxHv #AI #AIInRobotics #Innovation #AI2025 #Formant #AIInsights
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What’s inevitable, costly, and can derail the success of your internal automation program? Robot downtime ?? Errors and other unforeseen circumstances are part of maintaining an automation program, but downtime doesn’t have to be a consistent disruptor to your fleet’s efficiency. Help your team keep automation projects on track (and costs low) with a deep dive into what causes robot downtime, what it can cost, and how to prevent it in the future. https://lnkd.in/eEW8mpdE #RobotDowntime #Robotics #EnterpriseRobotics #Automation
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Formant转发了
For me, NVIDIA's unveiling of Mega Omniverse Blueprint and Cosmos, a world model designed for optimizing robot behaviors, were among the most exciting announcements of #CES 2025. NVIDIA's ambitious initiative to bring a step change in fleet management performance could rock the mobile robot world. Significantly, boasting partnerships with a large portion of the AMR market, NVIDIA has the potential to bring interoperability to fleet management at a scale far greater than past initiatives by groups including MassRobotics and Amazon Web Services (AWS). By leveraging physics as another dimension to multimodal robot data sets, NVIDIA claims it can provide greater safety, intelligent path planning, and general productivity boosts with Cosmos. The major third-party AMR fleet management and orchestration vendors (namely Brain Corp, InOrbit.AI, Formant, and Cogniteam) are already partnered with NVIDIA to various degrees. These companies provide an immediate channel to market for Cosmos to demonstrate its value for AMR fleet optimization. If NVIDIA can prove Cosmos and Mega's value, WMS partnerships and the utopian vision of mixed robot fleets might be on the horizon. If NVIDIA's software products are to provide tangible value to established robotics markets (and subsequently sell more GPUs) they must offer adopters more than impressive visuals. Last year I wrote a series of reports on Offline Programming Software for robotics; the majority of vendors in the space (including Siemens and Visual Components) offer plugins to NVIDIA Omniverse via the Universal Scene Descriptor (USD) data format. This encroachment into the robotics software space was a success. NVIDIA can build upon this beachhead to demonstrate the real value of it's robotics software portfolio in established processes. But are NVIDIA's software tools mature enough to offer large scale commercial value? Will adopters be trading vast graphics compute overhead for vast physics compute overhead in vain? The trial deployment with KION Group will play the touchstone. https://lnkd.in/d9hskTMm