SiMa.ai

Overview
News
Edge Computing?
Machine Learning Infrastructure?
Product stageSegments
Growth
?
On-device hardware components
?

SiMa.ai is a machine learning company delivering machine learning (ML) systems on chips (SoCs) for devices to facilitate edge usage.

SiMa.ai's product lineup is centered around its MLSoC™ platform, specifically engineered to meet the demands of ML deployment at the embedded edge. The company also offers MLSoC™ Boards and the MLSoC™ DevKit 2.0, along with Palette Software 1.1 and Palette Edgematic™, integral components of its ecosystem. These products are designed to facilitate the development, evaluation, and deployment of computer vision and other ML applications with increased performance and efficiency​​. It also offers MLSoC™ Modalix, a product family for multimodal Edge AI that supports various AI models, including convolutional neural networks (CNNs), transformers, large language models (LLMs), language models with memory (LMMs), and GenAI at the edge.

The MLSoC Development Kit is priced at USD 1,995 enabling developers to compile, evaluate ML models, and create proof-of-concept use cases for computer vision ML applications.

SiMa.ai announced the launch of a design center in Bengaluru, India, in January 2021. The company intends to expand its engineering and operations teams to the region, covering a range of roles, including board development, infrastructure, and system applications. The Bengaluru operation complements SiMa.ai’s existing operations in Silicon Valley and Serbia.

Key customers and partnerships

SiMa.ai caters to a broad spectrum of sectors, including smart vision, automotive, robotics and industry 4.0, healthcare, drones, and government.

In June 2023, the company launched its Partner Program, which includes a number of strategic go-to-market partners including e-con Systems, Inventec Corporation, LIPS Corporation, and iWave. SiMa.ai enables its partners to develop solutions to increase customer ML adoption via its machine learning system on a Chip (MLSoC) platform.

HQ location:
333 W. San Carlos St. Suite 1100 San Jose CA USA
Founded year:
2018
Employees:
101-250
IPO status:
Private
Total funding:
USD 270.0 mn
Last Funding:
USD 70.0 mn (Series B; Apr 2024)
Last valuation:
-
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