SiMa.ai Raises $150 Million as Physical AI Moves Into the Real World
Artificial intelligence is moving beyond chatbots and cloud-based applications, with a growing number of companies developing AI systems designed to operate directly inside robots, drones, vehicles and industrial machines.
One of the companies targeting this emerging market is SiMa.ai, which has raised $150 million in Series C funding at a valuation of approximately $1.45 billion.
The latest investment brings SiMa.ai's total capital raised to approximately $500 million.
What Is Physical AI?
Physical AI refers to artificial intelligence systems that interact with the physical world.
Instead of running AI only inside a cloud data center, physical AI systems can process information locally on devices such as robots, drones, autonomous vehicles and smart cameras.
These machines can use cameras, sensors and other inputs to understand their surroundings and make decisions in real time.
Local processing can be particularly important for applications where low latency, reliability and power efficiency are critical.
SiMa.ai Is Building Specialized AI Hardware
SiMa.ai develops specialized computing hardware and software designed for AI workloads running at the edge.
The company's platform combines purpose-built machine-learning silicon with software intended to simplify the development and deployment of AI applications.
Its current Modalix MLSoC platform provides up to 50 TOPS of AI computing performance while operating at less than 10 watts, according to the company.
TOPS, or trillion operations per second, is a commonly used measurement for the processing capability of AI hardware.
New Hardware Targeted for 2028
SiMa.ai says the latest funding will help accelerate development of its next-generation hardware platform.
The company is targeting 1,000 dense TOPS of computing performance in its future purpose-built Physical AI silicon.
The new generation is currently scheduled for the first half of 2028.
The planned technology is expected to include machine-learning intellectual property, chiplets and system-on-chip designs.
These components are being developed for applications including humanoid robots, drones, automotive advanced driver-assistance systems and AI-powered vehicle cockpits.
Robotics Is Becoming a Major AI Market
The growth of humanoid robotics and autonomous machines is creating demand for smaller and more efficient AI processors.
Large data-center GPUs provide enormous computing power, but many physical machines cannot continuously rely on cloud computing because of connectivity, latency, size and energy constraints.
AI processors designed specifically for edge devices can allow machines to process important information locally.
For a drone, for example, real-time processing can help the system respond to visual information without waiting for a remote server.
Similar requirements exist in industrial robots, autonomous vehicles and other intelligent machines.
SiMa.ai Also Develops AI Software
The company's strategy is not limited to semiconductor hardware.
SiMa.ai is also developing Palette Neat, an agentic software environment designed for Physical AI application development.
The company says the software is intended to reduce the complexity involved in deploying AI models across different physical devices and computing architectures.
This software-and-hardware approach is designed to allow developers to move from AI models to physical applications more quickly.
Growing Customer and Partner Network
SiMa.ai has built relationships with companies across robotics, industrial automation, automotive technology and semiconductor industries.
Its customer and partner network includes companies such as Bosch, Micron, Synopsys, L&T Technology Services, AVerMedia, Emerson, TRUMPF and other technology companies.
The company also has a presence in India, where it has approximately 90 employees, according to recent company reporting.
India is becoming an increasingly important engineering and AI development hub, making the country's role in SiMa.ai's global expansion notable.
Competition in AI Hardware Is Expanding
The AI semiconductor industry is becoming increasingly competitive.
Nvidia remains a dominant supplier of high-performance AI computing hardware, particularly for data centers. However, specialized chip companies are developing alternatives for applications where power consumption, size and local processing are more important.
Physical AI represents one such opportunity.
Robots, drones and vehicles require processors that can operate within much tighter power and thermal limits than large cloud data centers.
This creates space for specialized AI chips designed specifically for edge environments.
Why the Funding Matters
The $150 million investment gives SiMa.ai additional capital at a time when companies across the technology industry are investing heavily in AI infrastructure.
However, the physical AI market is still developing, and widespread adoption of humanoid robots and autonomous machines will depend on advances in hardware, software, safety, manufacturing and commercial deployment.
SiMa.ai's funding will therefore be used not only to expand its current platform but also to develop hardware aimed at future generations of intelligent machines.
The Next Stage of the AI Race
The AI industry is increasingly moving toward a combination of software intelligence and physical machines.
Large language models and generative AI have demonstrated how software can understand and produce information. Physical AI aims to take the next step by allowing machines to understand their surroundings and act within the real world.
This could eventually support applications ranging from factory automation and logistics to autonomous transportation, drones and humanoid robotics.
SiMa.ai's latest funding round shows that investors are putting significant capital into the semiconductor and software infrastructure needed for this transition.
What Comes Next for SiMa.ai
With $500 million in total funding and a valuation of approximately $1.45 billion, SiMa.ai is now focused on scaling its existing Physical AI platform while developing its next-generation hardware.
The company's planned 1,000-TOPS architecture is targeted for the first half of 2028.
If development and commercialization progress as planned, the technology could become part of a new generation of computing systems designed specifically for robots, drones and intelligent vehicles.
The broader Physical AI market is still in an early stage, but the latest investment in SiMa.ai highlights the growing effort to bring artificial intelligence directly into the machines operating in the real world.
Journalist: Vijay Singh