SiMa AI

Canvas Category Machinery : Operational Technology : IIoT : Machine Learning

Website | LinkedIn | Video

Primary Location San Jose, California, United States

Financial Status VC; Fidelity Management & Research Company, Lip-Bu Tan

One Platform for Edge AI. Any edge application , any network , any model , any modality , any framework , any sensor , any resolution.

Assembly Line

SiMa.ai Begins Sampling of MLSoC Modalix, the Industry’s First Purpose Built Multi-modal and GenAI Edge Product Family

📅 Date:

🔖 Topics: Generative AI

🏢 Organizations: SiMa ai


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.

Read more at Business Wire

Smart Lasers + AI = Revolution

📅 Date:

✍️ Author: John Oncea

🏢 Organizations: Trumpf, SiMa AI


Integrating SiMa.ai’s machine learning system on chip (MLSoC) technology with TRUMPF’s laser application expertise is expected to result in AI-optimized sensor technology that can monitor the quality of the laser welding process in real time and evaluate more than 3,000 images per second. In EV production, for example, the real time quality inspection during laser welding – aided by AI – is expected to replace separate and complex testing procedures. Moreover, battery manufacturers will be able to increase the quality of their production in real time and reduce the reject rate which could lower the price of electric cars for consumers.

Read more at Photonics Online

TRUMPF and SiMa.ai agree on strategic partnership for lasers with artificial intelligence

📅 Date:

🔖 Topics: Partnership

🏢 Organizations: TRUMPF, SiMa ai


TRUMPF and SiMa.ai, the software-centric, embedded edge machine learning system-on-chip company, signed a partnership to develop lasers with artificial intelligence (AI). The goal is to equip several laser systems of TRUMPF with AI technology in the near future. This includes systems for welding, cutting and marking, as well as powder metal 3D printers. Both companies bring their respective expertise to the collaboration: TRUMPF, its laser application expertise, and SiMa.ai, its machine learning system on chip (MLSoC) technology.

The joint collaboration intends to accelerate complex material processing. The powerful, compact and energy-efficient AI chips will be integrated directly into the laser systems. The AI-optimized sensor technology can monitor the quality of the laser welding process in real time and evaluate more than 3,000 images per second. In electric car production, for example, the real-time quality inspection during laser welding with the help of artificial intelligence (AI) is expected to replace separate and complex testing procedures. Moreover, battery manufacturers will be able to increase the quality of their production in real time and reduce the reject rate which could ultimately lower the price of electric cars for consumers.

Read more at SiMa ai News

SiMa.ai Secures Funds and Readies New Generative Edge AI Platform

📅 Date:

🔖 Topics: Funding Event

🏢 Organizations: SiMa AI, Maverick Capital, Dell


SiMa.ai, the software-centric, embedded edge machine learning system-on-chip company, 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.

Read more at SiMa AI News