Molecular Electronics
Electronic devices built from single molecules or molecular assemblies
Nantero
Woburn, United States
Developer of NRAM nonvolatile memory technology using carbon nanotube fabrics
IBM Research - Nanotechnology
Yorktown Heights, United States
Pioneering nanotechnology research including carbon nanotube transistors and molecular electronics
Spin Memory
Fremont, United States
Developer of advanced MRAM technology for embedded applications
Marvell Technology
Wilmington, United States
Data infrastructure semiconductor company
Nano Labs
Hangzhou, China
Distributed computing chip manufacturer
Intrinsic ID
Eindhoven, Netherlands
Physical Unclonable Function security at nanoscale
NanoBridge Semiconductor
Tsukuba, Japan
Atom switch technology for AI chips
SiFive
San Mateo, United States
Leading RISC-V processor IP provider
Codasip
Munich, Germany
Customizable RISC-V processor IP
Esperanto Technologies
Mountain View, United States
RISC-V based AI accelerators
Ventana Micro Systems
Cupertino, United States
High-performance RISC-V for datacenter
Groq
Mountain View, United States
AI inference accelerators with deterministic performance
Recogni
San Jose, United States
Recogni is a specialized semiconductor company developing ultra-high-performance AI vision processors specifically designed for autonomous vehicle perception systems. Founded in 2017 in San Jose, California, Recogni is addressing the massive computational demands of self-driving vehicles that must process data from multiple high-resolution cameras, radar, and lidar sensors simultaneously while making real-time decisions with exceptional accuracy and reliability. The company's proprietary vision AI processor architecture delivers unprecedented performance density, achieving over 1,000 tera-operations per second (TOPS) of AI compute performance optimized specifically for computer vision and sensor fusion workloads critical to autonomous driving. Unlike general-purpose AI accelerators, Recogni's chips are purpose-built for automotive perception tasks including object detection, classification, tracking, semantic segmentation, depth estimation, and multi-sensor fusion across camera, radar, and lidar inputs. The architecture incorporates specialized hardware blocks for image signal processing, vision preprocessing, neural network acceleration, and post-processing operations, creating an efficient end-to-end pipeline from raw sensor data to perception outputs. Recogni's technology enables Level 4 and Level 5 autonomous driving capabilities while meeting stringent automotive requirements for safety, reliability, temperature tolerance, and cost-effectiveness. The processor design incorporates redundancy and functional safety features compliant with ISO 26262 automotive safety standards, essential for production deployment in safety-critical applications. The company's software stack supports leading AI frameworks and provides tools for optimizing perception models developed by automotive OEMs and tier-one suppliers. With over $100 million in funding from automotive-focused venture capital and strategic investors, Recogni is partnering with major automakers and autonomous vehicle developers to deliver the next generation of perception computing for self-driving cars, trucks, and robotaxis.
Iluvatar CoreX
Shanghai, China
GPGPU for AI and HPC
Phytium Technology
Tianjin, China
ARM-based high-performance CPUs
Anlogic
Shanghai, China
Chinese FPGA manufacturer
QC Ware
Palo Alto, United States
Quantum computing software and algorithm development
Multiverse Computing
San Sebastián, Spain
Quantum computing solutions for finance and enterprise
QunaSys
Tokyo, Japan
Quantum computing software for chemistry and materials science
Lightwave Logic
Newark, United States
Electro-optic polymer technology for high-speed photonic devices and modulators
AWS Trainium
Seattle, United States
Amazon's custom AI chips for machine learning training and inference
IBM Research Neuromorphic
Yorktown Heights, United States
IBM's brain-inspired computing research with TrueNorth and successor chips
Rain AI
San Francisco, United States
Brain-inspired computing using analog memristor technology
Enflame Technology
Shanghai, China
Chinese AI chip company for cloud training and inference
Esperanto Technologies
Mountain View, United States
Energy-efficient AI computing using RISC-V many-core processors
Roviero
Salt Lake City, United States
Neuromorphic AI technology for edge processing and autonomy
Applied Brain Research
Waterloo, Canada
Neuromorphic AI software and brain-inspired computing
Mistral AI
Paris, France
French AI startup developing open-weight large language models
Aleph Alpha
Heidelberg, Germany
European AI company developing sovereign AI solutions for enterprises and governments
Chroma
San Francisco, United States
Open-source embedding database for AI applications
PayPal
San Jose, United States
Global digital payments platform enabling money transfers and online payments
Consensys
Brooklyn, United States
Ethereum software company building infrastructure and developer tools for Web3
BitGo
Palo Alto, United States
Digital asset custody and security company for institutional investors
Netflix Games
Los Gatos, United States
Netflix's gaming division offering mobile games to subscribers
Microsoft Azure Government
Redmond, United States
Government cloud platform
Nantero
Woburn, United States
Carbon nanotube-based NRAM memory technology