Articles from SiMa.ai

SiMa.ai, a leader in Physical AI, today announced $150 million in Series C financing, bringing the total capital raised to $500 million and valuing the company at $1.45 billion. The round was co-led by Fidelity Management & Research Company and Amplify, with participation from Alter Venture Partners, Dell Technologies Capital, Maverick Capital, +ND Capital, Point72, and StepStone Group. AllianceBernstein, Baron Capital, J.P. Morgan, and the State of Michigan also joined the round as new investors.

SiMa.ai, the software-centric and embedded edge machine learning system-on-chip (MLSoC) company, and Wind River, a global leader in delivering software for the intelligent edge, have collaborated on an integrated hardware and software solution for next-generation edge AI.

SiMa.ai, the software-centric, embedded edge machine learning system-on-chip (MLSoC) company, has been named to Fast Company’s prestigious list of the world’s Most Innovative Companies for 2025. Earning the number six spot in the Computing category, this honor is presented to companies across the globe that are moving the world’s technology, businesses and culture forward.

SiMa.ai, the software-centric, embedded edge machine learning system-on-chip (MLSoC) company, today announced it has been named to Forbes’ 2025 America’s Best Startup Employers list for the third consecutive year. SiMa.ai was included on the Best Startup Employers list for a third time as it continues to invest in an exceptional workplace culture, building a talented team that can seamlessly bring AI to thousands of customers and diverse multi-modal use cases across the embedded edge.

SiMa.ai, the software-centric, embedded edge machine learning system-on-chip (MLSoC) company, today announced the successful implementation of DeepSeek-R1-Distill-Qwen-1.5B on its ONE Platform for Edge AI, achieving breakthrough performance within an unprecedented power envelope of under 10 watts. This implementation marks a significant advancement in efficient, secure edge AI deployment.

SiMa.ai, the software-centric, embedded edge machine learning system-on-chip (MLSoC) company, today announced that it has achieved “Awardable” status through the Chief Digital and Artificial Intelligence Office’s (CDAO) Tradewinds Solutions Marketplace.

SiMa.ai, the software-centric, embedded edge machine learning system-on-chip (MLSoC) company announced immediate availability of the Modalix 50 TOPs device, and a new Early Access Program for MLSoC™ Modalix. Modalix is the industry’s first purpose-built platform that seamlessly integrates multi-modal applications using Transformers, LLMs, LMMs and GenAI at the edge along with traditional computer vision algorithms while delivering power efficiency and cost-effectiveness. Modalix extends the SiMa.ai lead by delivering industry leading performance per watt that is consistently more than 10X compared to alternatives.

SiMa.ai, the software-centric, embedded edge machine learning system-on-chip (MLSoC) company, today announced availability of Palette Edgematic on AWS Marketplace. The AWS Marketplace is a digital catalog that customers and machine learning (ML) developers can use to find, buy, deploy, and manage third-party software. Customers will now be able to evaluate and deploy ML models and sample applications including complete pipelines on SiMa.ai MLSoC devices hosted on the cloud.

SiMa.ai, the embedded edge machine learning system-on-chip (MLSoC) company, and the Maini Group, pioneers of India's electric vehicle industry, are announcing a strategic partnership aiming to transform the future of autonomous mobility, beginning with the integration of SiMa.ai’s cutting-edge ONE Platform for Edge AI into Virya Mobility’s autonomous transport solutions.

SiMa.ai, the software-centric, embedded edge machine learning system-on-chip (MLSoC) company, today announced MLSoC™ Modalix, the industry’s first multi-modal edge AI product family. SiMa.ai MLSoC Modalix supports CNNs, Transformers, LLMs, LMMs and Gen AI at the edge, and delivers industry leading performance – more than 10X the performance per watt of alternatives.

SiMa.ai, the software centric, embedded edge machine learning system-on-chip company, and Ortecs, a leading representative and distributor for top electronic manufacturers’ components and solutions, today announced a strategic agreement for representation and distribution of SiMa.ai’s Machine Learning System on Chip (MLSoC) products in Israel.

SiMa.ai, the software centric, embedded edge machine learning system-on-chip company, today announced a collaboration with Lanner, a leading provider of industrial computing appliances, and AWL, an AI software company specializing in video analytics. The partnership will deliver high-performance edge AI solutions optimized for industry sectors like manufacturing, retail, and transportation.

SiMa.ai, the software centric, embedded edge machine learning system-on-chip company, today announced a joint collaboration with CVEDIA and Supermicro to bring smart city solutions to the embedded edge. The companies will deliver a solution that combines CVEDIA’s AI Video analytics solutions with Supermicro’s (NASDAQ: SMCI) edge appliances, powered by SiMa.ai’s Machine Learning System on Chip (MLSoC) platform.

SiMa.ai, the software centric, embedded edge machine learning system-on-chip company, today announced a joint partnership with CVEDIA and Inventec to build and deploy smart transportation solutions for the embedded edge. The companies will deliver a joint solution that combines CVEDIA’s AI-based video analytics solutions with Inventec edge appliances, powered by SiMa.ai’s Machine Learning System on Chip (MLSoC).

SiMa.ai, the software-centric, embedded edge machine learning system-on-chip company, today announced it has raised an additional $70M of funding led by Maverick Capital, with participation from Point72 and Jericho, as well as existing investors Amplify Partners, Dell Technologies Capital, Lip-Bu Tan and others. SiMa.ai will utilize the $270M raised to date to continue meeting customer demand for edge AI/ML with its first-generation Machine Learning System-on-Chip (MLSoC) while accelerating the delivery of its second-generation MLSoC for release in Q1 of 2025.

BrightDrive, a leader in autonomous driving technology, today announced a strategic partnership with SiMa.ai, the software centric, embedded edge machine learning system-on-chip company, aimed at accelerating innovation in autonomous driving. This collaboration combines SiMa.ai’s cutting-edge MLSoC™ with BrightDrive's advanced hardware platform to deliver new advancements in self-driving systems.

SiMa.ai, the machine learning software-driven company with purpose-built hardware to deploy AIML applications at the edge, today announced it has been named an IDC Innovator in the IDC Innovators: AI/ML at the Edge, 2024 (Document number: # US51793824: January 2024) report. The report excerpt is available for download on SiMa's website here.

SiMa.ai, the machine learning software-driven company with purpose-built hardware to deploy AIML applications at the edge, today announced it has been named to Forbes’ 2024 America’s Best Startup Employers list for the second consecutive year. The inclusion on Forbes’ annual employer list follows SiMa.ai’s recognition as an IDC Innovator for AI/ML at the edge and as GSA’s 2023 Startup to Watch. SiMa.ai was included on the Best Startup Employers list for a second time as a result of its investment in and development of strong AIML and embedded AI talent, company growth and employee culture and satisfaction.

SiMa.ai, the machine learning software-driven company with purpose-built hardware to deploy AIML applications at the edge, today announced the launch of a new SiMa.ai MLSoC Development Kit with our latest release of SiMa.ai Palette software. The MLSoC Development Kit empowers developers to compile and evaluate their machine learning (ML) models in hours and create proof-of-concept use cases in days. The development kit operates as a stand-alone platform for demonstrations and seamlessly transforms into a PCIe card for effortless integration into desktop and industrial PCs.

SiMa.ai, the machine learning software-driven company with purpose-built hardware to deploy AIML applications at the edge, today announced its inclusion in Forrester’s The AI Infrastructure Landscape, Q4 2023 report.

SiMa.ai, the machine learning software-driven company with purpose-built hardware to deploy AI and computer vision at the edge, today announced it was named the 2023 “Startup to Watch” by the Global Alliance Semiconductor (GSA). The annual award is presented to individuals and companies that have demonstrated outstanding contributions to the industry, with a commitment to innovation, and potential for significant future impact.

SiMa.ai today announced a new strategic partnership and integration with Supermicro, Inc. (NASDAQ: SMCI), a Total IT Solution Provider for AI, Cloud, Storage, and 5G/Edge. The SiMa.ai and Supermicro Edge ML Server integration brings together SiMa.ai’s purpose built Machine Learning System-on-a-Chip (MLSoC) that delivers high performance and power efficient edge ML inference for enterprise, industrial and field deployments, and Supermicro’s SYS-E300-13AD high performance compact edge server. The integration provides customers a scalable approach for increasing video channels without scaling the host CPU performance. This provides for in-field upgrades for additional video channel support without swapping out the server or motherboard, which is an important consideration for deployed servers.

SiMa.ai, the machine learning company delivering solutions for the embedded edge, today announced the appointment of Elizabeth Samara-Rubio as Chief Business Officer. Elizabeth joins SiMa.ai with more than two decades of leadership roles across business development, product management, and go-to-market strategy functions for the software and hardware industry. She will bring her collective industry background and knowledge from her tenures at Amazon Web Services (AWS), Accenture, and more to accelerate SiMa.ai's mission to revolutionize the edge computing landscape with artificial intelligence and machine learning.

SiMa.ai, the machine learning company delivering solutions for the embedded edge, today announced the results of its second MLPerf submission, outperforming industry ML leader NVIDIA’s Orin NX and AGX Orin in the Closed Edge power category in the MLCommons® ML Perf 3.1 benchmark. SiMa.ai participated in the MLPerf™ Inference 3.1 closed, edge, power division of this benchmarking process, focusing on the image classification benchmark ResNet50. Since the company’s prior submission in April 2023, SiMa.ai achieved a 20 percent improvement in its results for Single Stream ResNet50 for performance and power[1], while exhibiting up to 85 percent greater ResNet50 MultiStream efficiency compared to NVIDIA[2]. With frames per second per watt as the de facto performance standard for edge AI and ML, these results demonstrate SiMa.ai’s pushbutton approach drives continued leadership in unrivaled power efficiency that does not compromise performance.

SiMa.ai, the machine learning company delivering solutions for the embedded edge, today announced it is experiencing significant company-wide momentum including a rapid rise in customer demand, new innovation accolades, 30% year-over-year employee growth, the introduction of a new partner ecosystem, and new venture funding for a total of $200M raised to date. Importantly, following the initial release of SiMa’s Machine Learning System on a Chip (MLSoC™) silicon, SiMa.ai MLSoC boards and Palette software in January, SiMa.ai is fulfilling its commitment to customers by achieving full characterization and testing for production grade releases of its silicon, boards and software functionality only five months later.

SiMa.ai, the machine learning company delivering solutions for the embedded edge, today launched its Partner Program with leading vendors in the ML edge marketplace. This new partner program will accelerate SiMa’s mission to fast track AI innovation at the edge and extend its reach to deliver solutions in priority verticals. A select group of companies joining the partner integration program at launch include e-con Systems™, Inventec Corporation, LIPS Corporation, and iWave. The partner program provides OEMs, ODMs, Sensor vendors, System Integrators (SIs), Independent Software Vendors (ISVs) and AI/ML tools vendors access to the SiMa.ai Machine Learning System on a Chip (MLSoC™) platform to develop solutions for end market problems that speed customer ML adoption.

SiMa.ai, the machine learning company delivering solutions for the embedded edge, topped the industry leader in its debut MLPerf Benchmark performance in the Closed Edge Power category. The company’s Machine Learning System-on-Chip (MLSoC™) platform earned top inference achievements in all aspects of the ResNet-50 benchmark, beating the industry leader on both performance (frames per second) and power. These MLPerf results demonstrate that the MLSoC Platform follows through on its promise of an Any, 10x, Pushbutton solution for effortless ML deployment.

SiMa.ai, the machine learning company enabling effortless ML deployment and scaling at the embedded edge, today announced it has been named to the Forbes 2023 America’s Best Startup Employers list. The annual list recognizes the top startup companies that are committed to maintaining a strong reputation, investing in employee satisfaction, and experiencing steady growth.

SiMa.ai, the machine learning company enabling effortless ML deployment and scaling at the embedded edge, today announced that it will begin shipping its SiMa.ai Palette software platform for complete ML stack development. Powered by SiMa.ai’s Machine Learning System on Chip (MLSoC™) silicon, the all-in-one developer platform supports any ML workflow customers plan to deploy on the edge without compromising performance and ease of use. Palette, combined with the availability of two new MLSoC-based production board-level products, are the latest innovations driving the adoption of SiMa.ai’s software-centric, purpose-built MLSoC platform.

SiMa.ai, the machine learning company enabling effortless ML deployment and scaling at the embedded edge, today announced availability of two new PCIe-based production boards that scales embedded edge ML deployments for key customers. The availability of these two new commercially deployable board-level products demonstrates the commitment of SiMa.ai's mission to simplify ML scalability at the embedded edge. The company also announced its Palette™ software that provides a pushbutton experience for developing complete end-to-end ML applications targeting the heterogeneous SiMa.ai Machine Learning SoC (MLSoC™) platform.

SiMa.ai, the machine learning company enabling effortless deployment and scaling at the embedded edge, today announced the appointment of esteemed automotive industry executive Harald (Harry) Kroeger as its President of Automotive Business and to the SiMa.ai Board of Directors, beginning January 1, 2023. Harry brings over three decades of unmatched experience in the industry working with some of the world’s most influential automotive companies including Bosch, Rivian, Mercedes-Benz and Tesla. He will be responsible for partnering with key automotive customers and tier one manufacturers to leverage the power of SiMa.ai’s software centric Machine Learning System-on-Chip (MLSoC) Platform and unlock Effortless ML for the automotive world.

SiMa.ai, the machine learning company enabling effortless deployment and scaling at the embedded edge, today announced it has extended its Series B1 round to $67 million with new participation from MSD Partners, L.P. The round also includes participation from existing partners: Fidelity Management & Research Company, Amplify Partners, Dell Technologies Capital, Wing Venture Capital, Alter Venture Partners, +ND Capital and Lip-Bu Tan.

SiMa.ai, the machine learning company enabling effortless deployment and scaling at the embedded edge, today announced it has partnered with GUC (Global Unichip Corporation) to help leverage the company’s turnkey semiconductor services for continued first-time right design of its MLSoC Platform.

SiMa.ai, the machine learning (ML) company enabling effortless deployment and scaling at the embedded edge, today announced it has achieved first silicon success for its new Machine Learning System-on-Chip (MLSoC) Platform using Synopsys’ design, verification, IP and design services solutions. The SiMa.ai MLSoC was designed and verified using Synopsys tools and incorporated a broad range of Synopsys IP, including the Synopsys ARC® EV Processor for real-time vision processing. The collaboration between SiMa.ai and Synopsys optimizes power, flexibility, scalability and future proofing for robotics, smart vision, government, autonomous vehicles, drones and healthcare at the embedded edge.

SiMa.ai, the machine learning company enabling effortless deployment and scaling at the embedded edge, today announced it has delivered a software-centric MLSoC Platform that enables quick and Effortless ML experiences for the embedded edge, benefiting from TSMC’s power efficient process technology and most comprehensive design ecosystem.

SiMa.ai, the machine learning company enabling effortless deployment and scaling at the embedded edge, today announced that it has begun shipping the industry’s first purpose-built software-centric Machine Learning System-on-Chip platform for the embedded edge - the MLSoC.

SiMa.ai™ today announced that Lip-Bu Tan has joined its Board of Directors, effective immediately. Lip-Bu Tan is Founder and Chairman of Walden International (“WI”), a leading venture capital firm managing cumulative capital commitments of greater than $4 billion; and Founding Managing Partner of Celesta Capital and Walden Catalyst Ventures, a venture capital firm focused on investing in core technology companies. He formerly served as Chief Executive Officer of Cadence Design Systems, Inc., and now serves as Executive Chairman and has been a member of the Cadence Board of Directors since 2004. He currently serves on the Boards of Schneider Electric SE (SU: FP) and SoftBank Group (Japan: 9984.T).

SiMa.ai, the machine learning (ML) company transforming the embedded edge market through high-performance compute at the lowest power, today announced it has been awarded the Frost & Sullivan 2021 Technology Innovation Leadership Award for edge machine learning. This prestigious award honors companies and organizations that have accomplished innovative or disruptive breakthroughs. Frost & Sullivan evaluates multiple nominees through a rigorous analytical assessment of best practices criteria across several dimensions. SiMa.ai has been recognized based, in part, on its commitment to innovation and creativity, application diversity, customer acquisition, growth potential, and human capital.

SiMa.ai, the machine learning company transforming the embedded edge market through high-performance compute at the lowest power, today announced Moshe Gavrielov has been appointed the new SiMa.ai Chairman of the Board. Following two years as a member of the SiMa.ai Board of Directors, Gavrielov is assuming Chairman of the Board responsibility and will lead the SiMa.ai Board. He will also play a key role in supporting the company as it prepares to productize its first-generation machine learning SoC (MLSoC™) platform, after having recently closed its Series B funding round in May 2021.

SiMa.ai announced today its joint collaboration with the Department for Computer Science at the University of Tübingen in the Hardware-Agnostic Artificial Intelligence for Embedded project. Through this important research project, the University of Tübingen is bringing together the academic community and top industry leaders to address and bridge the gap from high performance, high-energy embedded compute to high performance, low-power compute for embedded edge applications.

SiMa.ai, machine learning company transforming the embedded edge market through high-performance compute at the lowest power, today announced an $80 million Series B financing led by Fidelity Management & Research Company with participation from Adage Capital Management. Also joining this round are existing investors Amplify Partners, Dell Technologies Capital, Wing Venture Capital, Alter Venture Partners, and +ND Capital. The round brings the total amount raised to $120 million since the company’s inception in November 2018.