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SiMa.ai provides a no-code, drag-and-drop environment for building, training, and deploying machine learning models on edge devices. Its platform lets users visually assemble ML solutions without writing code, and runs on its own MLSoC silicon designed for edge computing to reduce latency and speed up inference close to data sources. The product works by combining the no-code development tools with specialized edge-ready hardware, enabling deployment of ML applications such as computer vision on edge devices. SiMa.ai differentiates itself from competitors by pairing a purpose-built MLSoC with an integrated no-code development platform, plus an ecosystem of a developer portal, expert consulting, and a partner program to accelerate AI innovations at the edge. The company aims to broaden access to edge ML, helping individuals and organizations deploy efficient AI at the edge across various industries.
Industries
Data & Analytics
Hardware
Enterprise Software
AI & Machine Learning
Company Size
201-500
Company Stage
Late Stage VC
Total Funding
$345M
Headquarters
San Jose, California
Founded
2018
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Total Funding
$345M
Above
Industry Average
Funded Over
7 Rounds
SiMa.ai, a physical AI company, has secured a strategic investment from Micron Technology to scale production of high-performance, power-efficient AI solutions for edge applications. The investment strengthens collaboration between the companies on integrated compute and memory architectures for robotics, autonomous systems and industrial automation. SiMa.ai's Modalix MLSoC platform integrates Micron's LPDDR5X memory to deliver superior bandwidth efficiency and power optimisation. The company offers system-on-modules featuring Micron memory that fit into existing platforms for robotics, industrial automation and autonomous vehicles. The investment expands SiMa.ai's technology partnership ecosystem, which includes Arm, Synopsys, TSMC and Wind River. San Jose-based SiMa.ai focuses on scaling physical AI across multiple sectors including automotive, aerospace and healthcare.
Nota AI and SiMa.ai sign strategic partnership for Physical AI technology Collaboration. 2026-03-25 20:00 1402 "Combining AI Optimization with High Performance and Efficiency MLSoCs to Lead the Physical AI Market" * Nota AI's AI Optimization Technology Meets SiMa.ai's MLSoC(TM) Product Family, Maximizing On-Device AI Performance for Physical AI * Joint Development and Commercialization of AI Solutions for Industrial Environments including ITS, Safety, and Security * Expanding Collaboration Across the Full Spectrum of Physical AI: Robotics, Mobility, and Beyond SAN JOSE, Calif., March 25, 2026 /PRNewswire/ - Nota AI, a leading AI model compression and optimization company, and SiMa.ai, a leading physical AI company, today announced a strategic partnership to expand their presence in the physical AI market. The signing ceremony took place at SiMa.ai's headquarters in San Jose, California. (From left to right) SiMa.ai Founder and CEO Krishna Rangasayee and Nota AI Co-Founder and CTO Tae-Ho Kim Delivering physical AI at the edge presents a significant technical challenge: achieving high inference performance and power efficiency simultaneously. This partnership carries particular significance as two companies - each holding unrivaled expertise on the hardware and software sides of the equation - come together to address this challenge by combining their respective strengths. The two companies will collaborate closely on | joint development and commercialization of on-device AI solutions, | expansion of the technology partnership, and | identification of customers and joint execution of pilot projects. In particular, SiMa.ai will leverage its global sales channels and partner network to actively identify joint business opportunities, while establishing tight technical integration between Nota.ai's NetsPresso(R) SDK and SiMa.ai's Palette(TM) SDK at the platform level. Nota AI will utilize NetsPresso(R), its AI model compression and optimization platform, to enable AI models to run more efficiently on SiMa.ai's high performance and efficiency MLSoC products. The platform supports efficient optimization and deployment across diverse hardware environments, reducing model sizes by over 90% while maintaining high levels of accuracy. Through this, Nota AI aims to maximize inference performance on the SiMa.ai MLSoC and build an optimized edge AI environment capable of handling high-performance workloads even under low-power constraints. In addition, Nota AI's generative AI-based video intelligence solution, NVA (Nota Vision Agent), will be optimized for SiMa.ai hardware and deployed across a range of industrial environments including Intelligent Transportation Systems (ITS), safety, and security. Building on this foundation, the two companies also plan to pursue joint business opportunities in physical AI domains such as robotics and mobility. SiMa.ai brings a critical hardware and software foundation to this partnership through its purpose-built, software-centric platform designed specifically for Physical AI. At the core of this value is SiMa.ai's Modalix(TM) MLSoC(TM), an ultra-efficient machine learning system-on-chip that delivers best-in-class multimodal inference and extraordinary performance with exceptional energy efficiency at the edge. Paired with the SiMa.ai Palette SDK - which simplifies the deployment of complex edge AI applications without compromising performance or ease of use - this platform provides the flexibility needed to process real-time, multi-modal interactions. Together, this enables customers to seamlessly scale high-performance, low-power AI workloads across robotics, automotive, smart vision, and industrial automation. Myung-su Chae, CEO of Nota AI, said, "We see great significance in the fact that Nota AI's AI optimization technology, combined with SiMa.ai's platform, can accelerate our expansion into physical AI. We look forward to working together with SiMa.ai to build on-device AI solutions that can be practically deployed in real-world industrial environments." Krishna Rangasayee, Founder and CEO of SiMa.ai, said, "Software optimization is not optional - it is essential for AI models to run reliably in physical AI environments. We are confident that Nota AI's AI optimization expertise, which maximizes AI model performance for specific hardware environments, will play an important role in realizing SiMa.ai's physical AI strategy." About Nota AI Nota AI is a leading AI model compression and optimization company, enabling developers to deploy high-performance AI models on any device through its flagship platform, NetsPresso(R). With support for 40+ model architectures and optimization across 100+ devices, NetsPresso automates the full pipeline - from compression and quantization to deployment - delivering best-in-class on-device AI performance. Nota AI powers a wide range of real-world applications spanning smart cities, ITS, industrial automation, security, and physical AI. For more information, visit www.nota.ai About SiMa.ai SiMa.ai is a leader in Physical AI, delivering a purpose-built, software-centric platform that brings best-in-class performance, power efficiency, and ease of use to Physical AI applications. Focused on scaling Physical AI across robotics, automotive, industrial automation, aerospace & defense, smart vision, and healthcare, SiMa.ai is led by seasoned technologists and backed by top-tier investors. Headquartered in San Jose, California. Learn more at www.sima.ai.
Home media coverage SiMa.ai launches Modalix PCIe card for edge AI and LLMs. Mar. 24, 2026 at 4:23 pm SiMa.ai, a leader in Physical AI solutions, today announced the Modalix(TM) PCIe HHHL Card, the newest addition to its Modalix product portfolio, developed in partnership with Advantech. Purpose-built for the demands of Physical AI, the card doubles the performance of its predecessor to support complex multimodal models and LLMs at the edge. By utilizing a standard Half-Height, Half-Length form factor, the card provides a scalable path for industrial PCs to execute real-time vision reasoning in power-constrained environments. Key Benefits of the Modalix PCIe HHHL Card: * Optimized for Physical AI workloads including LLMs and vision-language models, running at under 10W. Future-proof architecture supports CNNs and LLMs for maximum workload flexibility. * Expanded application capability with direct GMSL camera interfaces and Ethernet connectivity. * Maximizes throughput and eliminates host CPU overhead by having the entire AI application run Modalix MLSoC * Effortless AI enablement for both legacy and new commercial and industrial IPC deployments. Adds vision-based reasoning AI with no system redesign required. * Supports 16 video channels, ideal for cost- and power-sensitive deployments in smart retail, manufacturing, transportation and defense applications. SiMa.ai' strategic partner, Brian Wilson, AVP of Sales at Advantech, said "SiMa.ai's Modalix PCIe card redefines what's possible for industrial AI inference at the edge. In a standard HHHL PCIe form factor, it operates entirely within the PCIe slot power budget - requiring no auxiliary power connector or dedicated active cooling. It also integrates seamlessly into our industrial IPC platforms to deliver efficient, real-time AI processing for real-world applications." "As customer needs evolve, we are committed to delivering solutions that make AI adoption both practical and power efficient," said Durga Peddireddy, VP Product Management & Partnerships at SiMa.ai. "The Modalix PCIe HHHL Card breaks down integration barriers by bringing Physical AI capabilities to both new and legacy IPC infrastructure at exceptionally low power. With direct GMSL camera interfaces and Ethernet connectivity, the entire application runs on the Modalix MLSoC, freeing the host system and delivering the performance, channel density, and power efficiency to meet our customer's demand." Availability Samples of the Modalix PCIe HHHL Cards are available now and general availability will launch in Q2. Cards are offered in both commercial and industrial temperature variants with 8GB and 16GB memory options. Secure your card today at https://bit.ly/sima-pcie
SiMa.ai has launched the Modalix PCIe HHHL Card, developed in partnership with Advantech, to bring Physical AI capabilities to industrial PCs and edge servers. The card doubles the performance of its predecessor whilst operating under 10W, supporting complex multimodal models and large language models. The Half-Height, Half-Length form factor card runs entirely within the PCIe slot power budget, requiring no auxiliary power or active cooling. It supports 16 video channels with direct GMSL camera interfaces and Ethernet connectivity, targeting smart retail, manufacturing, transportation and defence applications. Samples are available now, with general availability launching in Q2 2026. The cards come in commercial and industrial temperature variants with 8GB and 16GB memory options.
Kontron America has partnered with SiMa.ai to launch the KBox A-151 EAI platform, bringing advanced edge AI to industrial markets. The system delivers over 50 TOPS of AI performance by integrating SiMa.ai's MLSoC Modalix accelerator into an industrial-grade edge platform. The KBox A-151 EAI features a dual-processor architecture combining 13th Gen Intel Core or Intel Atom processing with deterministic AI inference. The fanless, passively cooled chassis is designed for industrial automation, energy, medical technology and intelligent transportation. It supports real-time video analytics, GenAI, LLM and CNN workloads, along with multi-sensor integration. The platform enables deployment of complex multimodal models through integration with Palette SDK and Edgematic. Kontron and SiMa.ai will demonstrate the system at Embedded World.
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Industries
Data & Analytics
Hardware
Enterprise Software
AI & Machine Learning
Company Size
201-500
Company Stage
Late Stage VC
Total Funding
$345M
Headquarters
San Jose, California
Founded
2018
Find jobs on Simplify and start your career today