Latest news with #PhysicalAI
Yahoo
7 days ago
- Business
- Yahoo
SiMa.ai secures $85m to support global expansion
US-based start-up has raised $85m in an oversubscribed funding round led by hedge fund firm Maverick Capital. The investment increases the company's total capital raised to $355m. New investor StepStone Group, alongside existing supporters, also joined the round. The company, which focuses on delivering purpose-built hardware and software solutions for Physical AI, plans to use the new funds to support its global expansion. It will also use the proceeds to further enhance its Physical AI platform. This includes investing in software innovation, go-to-market strategies, customer success initiatives, and strengthening its roadmap in the automotive sector. founder and CEO Krishna Rangasayee said: 'This new funding further validates our leadership in the Physical AI space and the growing demand for Physical AI solutions that deliver best-in-class performance per watt with industry-leading ease of use. 'With strong support from new and existing investors, we're scaling quickly to extend our competitive lead and meet global customer demand across robotics, automotive, industrial automation, aerospace & defence, smart vision, and healthcare.' core offering, the ONE platform, combines purpose-built silicon with a software-centric design to optimise performance and simplify deployment. The platform includes Modalix, a second-generation multimodal machine learning system-on-chip, and software suite Palette. These tools support major ML frameworks, facilitating rapid AI adoption across sectors. Maverick Capital managing partner Andrew Homan said: ' is redefining what's possible at the edge by combining world-class silicon with a uniquely software-centric approach to Physical AI. 'Their ability to deliver high-performance, low-power solutions with frictionless deployment positions them to lead in a market that's scaling fast. We're thrilled to support as they accelerate their growth and continue to deliver transformative value across industries.' In a previous funding round in April 2024, secured $70m to advance chip technology for autonomous vehicles. " secures $85m to support global expansion" was originally created and published by Verdict, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Entrepreneur
7 days ago
- Business
- Entrepreneur
SiMa.ai Secures USD 85 Mn to Advance Physical AI Platform
Funding led by Maverick Capital with StepStone Group joining will drive global expansion and innovation for edge-based AI applications You're reading Entrepreneur India, an international franchise of Entrepreneur Media. has secured USD 85 million in a funding round led by Maverick Capital, with StepStone Group joining as a new investor. The round was oversubscribed and included participation from existing backers. With this latest infusion, the company's total funding has reached USD 355 million. The capital will be used to expand global presence and to accelerate the growth of its Physical AI platform. Plans include increasing investment in software innovation, enhancing go-to-market activities, strengthening customer support, and advancing its automotive development plans. "This new funding further validates our leadership in the Physical AI space and the growing demand for solutions that deliver top-tier performance per watt with exceptional ease of use," said Krishna Rangasayee, Founder and CEO of "With the support of both new and existing investors, we are moving quickly to extend our lead and meet demand across robotics, automotive, industrial automation, aerospace and defense, smart vision, and healthcare." Founded in 2018 by Rangasayee, is headquartered in San Jose, California. The company specialises in Physical AI computing, creating platforms that enable intelligent applications to operate efficiently at the edge. Its flagship Modalix platform offers high performance while maintaining strong energy efficiency, designed to make advanced AI capabilities accessible in industries such as robotics, automotive, aerospace, and industrial automation. offers a full-stack Physical AI solution through its ONE platform. This integrates purpose-built silicon with a software-first approach to simplify deployment and maximise performance. The platform includes Modalix, a second-generation multimodal MLSoC now available to customers, and Palette, a software suite that features both a software development kit and Edgematic, a no-code visual development tool. The system supports major machine learning frameworks, including vision models, transformers, and generative AI, within a single architecture. Andrew Homan, Managing Partner at Maverick Capital, said, " is redefining possibilities at the edge by combining advanced silicon with a software-centric approach to Physical AI. Their ability to deliver powerful, low-energy solutions with simple deployment positions them to lead in a rapidly growing market." John Avirett, Partner at StepStone Group, added, "As generative AI changes the data center, we see significant opportunity in AI at the edge. integrated solution, technical expertise, and customer adoption make it a leader in this space." With AI applications increasingly moving to the edge, aims to address the need for high performance, energy efficiency, and ease of use in real-world environments.
Forbes
01-08-2025
- Business
- Forbes
Why Legacy Data Can't Keep Up With Retail's AI Ambitions
Alex de Vigan, CEO at Nfinite, building large-scale 3D visual datasets to train Physical AI for retail, e-commerce & real-world AI. Most conversations about AI today still orbit around language: what it can write, say or summarize. But the next wave of progress won't speak. It will act. The Rise Of Physical AI In Retail Physical AI—intelligent systems that can perceive and interact with the physical world—is moving quickly from research labs to real-world deployment. Retail is one of the first industries where this shift is already underway. From autonomous restocking to robotic fulfillment, these technologies are no longer experimental. They are emerging fast. For retail leaders, the critical question is no longer if adoption will happen, but how to prepare. A New Kind Of Infrastructure For A New Kind Of Intelligence At its core, physical AI requires spatial understanding: the ability for machines to perceive and reason about three-dimensional environments with precision. This cannot be achieved through traditional data systems built on spreadsheets or static product catalogs. It demands a new kind of data infrastructure, one built on accurate, photorealistic 3D representations of the physical world. In retail, that means spatially accurate models of products, shelves, aisles and even human workflows. These models are not used only for visualization, but also serve as essential training data for intelligent systems. At Nfinite, we have seen how a strong 3D data foundation unlocks smarter automation, faster merchandising and seamless coordination across retail systems. A well-built digital twin of a store or product becomes a shared source of truth that connects e-commerce platforms, warehouse robots and in-store operations. However, the opposite is also true. If a product is mismeasured or if a shelf is mislabeled, AI-driven decisions fail. Robots hesitate. Fulfillment lags. The entire chain slows down. Poor data quality creates real-world consequences and prevents physical AI from delivering its full potential. Lessons From The Front Lines One of the top three U.S. retailers recently partnered with Nfinite to implement a spatially accurate product data infrastructure to support its physical AI initiatives. By replacing outdated 2D product records with high-fidelity 3D models and semantic metadata, the retailer significantly improved the accuracy of its AI-powered auto-checkout systems. Previously, inconsistent packaging data and poor dimensional records often caused scan failures and required manual overrides. With our structured 3D catalog serving as a reliable reference point, the retailer reported a 41% reduction in auto-checkout errors and faster scan-and-go throughput in pilot stores. These changes helped reduce staff intervention and improve checkout efficiency—creating a stronger foundation for future applications in fulfillment, planogramming and robotics. Three Priorities For Retail Leaders To prepare for this new era of spatially intelligent retail, business leaders must reimagine how data is collected, structured and deployed. Three priorities stand out: 1. Audit legacy systems. Most retail platforms were built for flat, two-dimensional data. Leaders must now ask themselves: What spatial details are missing from our current datasets? 2. Adopt dynamic digital twins. High-fidelity, 3D models of products and retail spaces are quickly becoming essential. These models provide a dynamic foundation for AI-powered decision-making across physical and digital environments. 3. Design for machine interaction. AI systems and autonomous tools are beginning to engage directly with retail infrastructure. Data systems must evolve to support both human and machine understanding. Can your current architecture communicate meaningfully with intelligent agents? This shift is all about designing businesses around spatial intelligence, where every pixel, dimension and product location becomes an input for real-time decision-making. The Real Stakes Physical AI will increasingly guide strategic decisions: what to stock, where to place it, how to fulfill faster and how to design future retail environments that are machine-readable by default. And as customer expectations grow for speed, accuracy and personalization, those who fail to modernize their data will fall behind. Because if your systems can't see the world clearly, your business decisions won't either. Physical AI is coming to retail. The question is, can your data keep up? Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Globe and Mail
01-08-2025
- Automotive
- Globe and Mail
Ouster Announces Upcoming Investor Events
Ouster, Inc. (Nasdaq: OUST) ('Ouster' or the 'Company'), a global leader in high-performance lidar sensors and intelligent software solutions that bring Physical AI to life across the automotive, industrial, robotics and smart infrastructure sectors, today announced that Ouster management will participate in the upcoming investor events: Event: Oppenheimer 28th Annual Technology, Internet & Communications Conference (Virtual) Date: August 12, 2025 Presentation time: 6:55 a.m. PT / 9:55 a.m. ET Participants: Ken Gianella, CFO, and Chen Geng, SVP, Strategic Finance & Treasurer Event: J.P. Morgan 2025 Auto Conference Date: August 13, 2025 Location: J.P. Morgan Chase New York, 383 Madison Avenue, New York City Participants: Ken Gianella, CFO, and Chen Geng, SVP, Strategic Finance & Treasurer Event: Rosenblatt Age of AI Conference (Virtual) Date: August 18, 2025 Presentation time: 8:00 a.m. PT / 11:00 a.m. ET Participants: Ken Gianella, CFO, and Chen Geng, SVP, Strategic Finance & Treasurer Institutional investors interested in a meeting should contact their representative at the host firms, or email Ouster investor relations at investors@ A live webcast of the presentation sessions, where available, will be accessible in the investor relations section of the Company's website at About Ouster Ouster (Nasdaq: OUST) is a global leader in high-performance lidar sensors and intelligent software solutions that bring Physical AI to life across the automotive, industrial, robotics, and smart infrastructure sectors. Ouster's technology delivers performance, reliability, and affordability to accelerate the adoption of autonomous systems at scale and drive meaningful improvements in safety, efficiency and sustainability. Ouster is headquartered in San Francisco, CA, with offices in the Americas, Europe, and Asia-Pacific. For more information about our products, visit contact our sales team, or connect with us on X or LinkedIn.
Globe and Mail
10-07-2025
- Automotive
- Globe and Mail
Ouster Announces Date for Second Quarter 2025 Earnings Call
Ouster, Inc. (Nasdaq: OUST) ('Ouster' or the 'Company'), a global leader in high-performance lidar sensors and intelligent software solutions that bring Physical AI to life across the automotive, industrial, robotics, and smart infrastructure sectors, announced today that it will report its financial results for the quarter ended June 30, 2025 after the market closes on Thursday, August 7, 2025 and host a conference call that day at 5:00 p.m. ET to discuss its results. Registration for the webcast can be completed by visiting the following website prior to, or on the day of, the conference call: The webcast will be available for replay for at least 30 days after the conference call on Ouster's investor website at About Ouster Ouster (Nasdaq: OUST) is a global leader in high-performance lidar sensors and intelligent software solutions that bring Physical AI to life across the automotive, industrial, robotics, and smart infrastructure sectors. Ouster's technology delivers performance, reliability, and affordability to accelerate the adoption of autonomous systems at scale and drive meaningful improvements in safety, efficiency and sustainability. Ouster is headquartered in San Francisco, CA, with offices in the Americas, Europe, and Asia-Pacific. For more information about our products, visit contact our sales team, or connect with us on X or LinkedIn.
