Silicon Brains

ACM's aim is to be a leading global supplier of wafer-fabrication equipment across cleaning, plating and other process steps, competing with much larger incu…

Everyone · publicly listed

To make reliability testing a standard part of producing advanced chips at scale, detecting devices likely to fail before they reach customers.

Some users · publicly listed

To make precise sensing and efficient power control foundational components of electric vehicles, automated machines and industrial equipment through its sem…

Everyone · publicly listed

To bring capable visual intelligence into vehicles and other devices using specialised chips.

Everyone · publicly listed

To become a credible second major supplier of data-centre AI accelerators alongside Nvidia, giving cloud providers an alternative for training and running la…

Everyone · publicly listed

To provide the sensing, control and edge-compute layer that allows machines and robots to interpret and respond to the physical world.

Some users · publicly listed

To provide the materials-engineering systems required for each new generation of smaller, denser and more energy-efficient semiconductors.

Everyone · publicly listed

To provide the connectivity chips that let AI computing systems move data effectively between their components.

Everyone · publicly listed

To enable advanced chip production through precise ion implantation, which changes the electrical properties of semiconductor materials.

Everyone · publicly listed

To be the leading partner for hyperscalers building their own custom AI accelerators and the networking that ties large AI clusters together — an alternative…

Everyone · publicly listed

To make wafer-scale processors a practical computing platform for AI.

Everyone · publicly listed · backed by Altimeter, Benchmark

To make audio and signal processing increasingly capable within compact electronic devices.

Everyone · publicly listed

To move data efficiently between the components of AI data centres.

Everyone · publicly listed

To make running AI models more efficient through chips that perform computation close to stored data.

Some users · backed by Microsoft, Nvidia

To provide the discrete and analog semiconductor components that let electronic products control power and signals.

Some users · publicly listed

To enable reliable production at increasingly small semiconductor nodes by controlling material purity and contamination throughout the fabrication process.

Everyone · publicly listed

To make specialised chips a practical, efficient way to run transformer-based AI models.

Lab · backed by Primary Venture Partners

To make testing and measurement keep pace with advanced semiconductor production.

Everyone · publicly listed

To make AI inference fast and practical using specialised language-processing chips.

Everyone · backed by BlackRock, Cisco Investments

To combine leading-edge semiconductor manufacturing with processor and accelerator design as a large-scale alternative in advanced computing.

Everyone · publicly listed

To detect and measure the defects that limit advanced-chip production.

Everyone · publicly listed

To provide the etching and deposition processes needed to manufacture more advanced chips.

Some users · publicly listed

To make low-power programmable chips useful building blocks for intelligent devices.

Some users · publicly listed

To use light to move data within AI computing infrastructure and relieve electrical communication bottlenecks.

Trials · backed by Fidelity, Viking Global

To provide custom chips and connectivity for demanding AI data centres.

Everyone · publicly listed

To provide the high-bandwidth memory needed by advanced AI processors.

Everyone · publicly listed

To make power conversion more efficient through gallium-nitride and silicon-carbide chips.

Everyone · publicly listed

To be the core computing platform of the AI era — supplying the chips, networking and software that data centres worldwide use to build and run artificial in…

Everyone · publicly listed

To make advanced semiconductor production more predictable through inspection and measurement.

Everyone · publicly listed

To make AI inference more energy-efficient through specialised computing hardware.

Some users · backed by Gradient Ventures, Valor Equity

To bring capable AI computing into phones and other connected devices.

Everyone · publicly listed

To improve how computing systems connect to and use memory through interface chips and design technology.

Some users · publicly listed

To make RISC-V-based processors a practical platform for data-centre and AI computing.

Trials · backed by Matrix Capital, Walden Catalyst

To provide a practical AI computing platform built around reconfigurable dataflow hardware.

Some users · backed by BlackRock, GV

To provide precise, dependable timing components for advanced electronic systems.

Some users · publicly listed

To supply the radio-frequency and analog components that make wireless connections work.

Everyone · publicly listed

To make RISC-V-based AI processors a practical computing platform.

Some users · backed by Fidelity, Hyundai Motor

To provide the analog and embedded-processing chips that connect electronic systems to the physical world.

Some users · publicly listed