AI devices, wearable tech, and specialized computing
AI-Driven EDA and Chip Design Suite
Synopsys.ai is a comprehensive AI-driven EDA suite that optimizes the entire silicon lifecycle from design to manufacturing. It utilizes specialized machine learning models to enhance engineering productivity, manage chip complexity, and accelerate time-to-market for advanced semiconductor nodes.
AI-Powered Chip Design Environment
ChipAgents is an agentic AI design environment that accelerates semiconductor design and verification by automating RTL coding, assertion generation, and debugging tasks within your code editor.
AI Research and Product Lab for Intelligent Chip Design
Architect Labs develops AI models and systems to explore, optimize, and verify specialized hardware architectures for more efficient silicon production. The platform aims to reduce ASIC design time and costs by up to twenty times through a correct-by-construction methodology.
AI Agents For Chip Verification
Bronco AI accelerates chip development with autonomous agents that handle verification planning, testbench bring-up, and simulation debugging. It helps design teams close the verification gap by finding bugs and clearing backlogs at superhuman speeds.
AI Copilot For Chip Design And PPA Optimization
Silimate is an AI-powered copilot that helps chip designers autonomously identify and resolve functional and Power, Performance, and Area (PPA) issues. The platform integrates with existing EDA workflows and IDEs to accelerate bug resolution and streamline the tapeout schedule.
AI System For Semiconductor And PCB Design
Siemens EDA AI integrates secure generative and agentic AI capabilities across the semiconductor and PCB design portfolio to enhance engineering productivity. The system utilizes a multimodal data lake and retrieval augmented generation to automate routine tasks and provide context-aware design assistance.
AI-Native IDE For Chip Design
Visibl Semiconductors offers an AI-native IDE that integrates with existing EDA workflows to automate chip design and verification tasks using context-aware agents. This on-prem platform decodes tool feedback and validates changes to accelerate iteration cycles and reduce tapeout risks.
Multimodal Data for Robotics
Human Archive is a multimodal data ecosystem that collects and labels high-fidelity real-world datasets to train foundation models for embodied intelligence. It uses custom hardware to capture diverse interaction data across residential and manufacturing environments for scalable robotics learning.
AI Note-Taking Device And Assistant
Pocket is a compact AI device and application that captures spoken thoughts and conversations to generate instant summaries, action items, and searchable notes. It integrates dedicated hardware with advanced intelligence models to streamline note-taking and ensure follow-through on tasks.
Computer Vision Self-Checkout
Mashgin creates touchless self-checkout kiosks using computer vision to instantly identify and ring up items, eliminating lines in retail and dining.
AI Circuit Design
Wire.ai is a platform for electronic hardware design that uses AI to help engineers and hobbyists generate, simulate, and refine circuit designs.
Fast AI Inference
Groq provides ultra-fast AI inference on its custom LPU™ Inference Engine, enabling developers to build near-instantaneous AI applications with open-source models.
Full-Stack AI Platform
SambaNova Systems offers a full-stack AI platform, including high-performance hardware and software, optimized for running large AI models efficiently.
General Purpose Humanoids
Figure is a robotics company developing general-purpose humanoid robots powered by advanced AI to perform tasks in domestic and industrial environments.