Semiconductors Startups

SiFive develops processor IP based on the open-standard RISC-V instruction set architecture, offering customizable and scalable chip designs. It serves semiconductor and hardware developers building processors across a range of applications.

9 investors

Vaire develops reversible computing hardware to improve energy efficiency and compute performance beyond the constraints of Moore's law. The company targets machine intelligence applications in AI and defense sectors.

9 investors

VSORA develops the Tyr family of programmable Edge AI processors that deliver data-center-class compute performance with low power consumption for on-device inference. Its chips target applications such as autonomous vehicles, robotics, and industrial plants that require real-time, low-latency processing at the edge.

9 investors

Rebellions develops AI accelerator chips for running large language models; its Rebel100 is a chip using mixed-precision cores, predictive DMA, and UCIe-Advanced interconnect with HBM3E memory. The product targets rack-scale deployment of frontier LLMs with high utilization and low power consumption.

9 investors

Aspinity designs analog processing chips that enable near-zero power AI systems using its AnalogML technology. The company serves developers building next-generation AI products that require ultra-efficient computing architectures.

8 investors

Astrus develops AI software for analog microchip design, automating the hand-crafted layout of analog circuits used in high-speed interconnects and other critical chip components. The platform serves semiconductor designers and chip manufacturers seeking to accelerate the design of advanced analog circuits.

8 investors

Avicena develops microLED-based optical interconnect technology, including the LightBundle transceiver ICs that pair microLED emitters and photodetectors with multi-core fiber for high-speed chip-to-chip communications. Its products connect GPU clusters across multiple racks to enable scalable, energy-efficient data center and computing interconnects.

8 investors

Enfabrica develops networking silicon and infrastructure for AI and accelerated computing, using a multi-path switched fabric that connects CPUs, GPUs, and memory endpoints with fault tolerance and load distribution. Its technology is aimed at large-scale AI compute clusters requiring high scalability and reliability.

8 investors

Eridan builds Software Defined Radios for Private 5G networks, using a proprietary Switch-Mode Direct Polar transmitter with Gallium Nitride power stages to deliver higher signal fidelity and lower power consumption than conventional radios. The company serves enterprise customers, network operators, and applications spanning industrial automation, rural broadband, defense, and utilities.

8 investors

Fractile designs processors for AI acceleration, offering the next generation of computing hardware. The company serves AI infrastructure teams and cloud providers requiring specialized silicon for inference workloads.

8 investors

Halo Industries produces silicon carbide (SiC) wafers using a laser-cutting process that reduces bow, warp, and subsurface damage, offering multiple quality grades for MOSFET production, diode production, R&D, and mechanical use. It also provides laser wafering as a service, including slicing, grinding, chemical mechanical polishing, and metrology, plus custom wafering solutions for specific materials and geometries.

8 investors

DreamFold builds a protein therapeutics platform that uses AI-driven protein design, generative modelling, and high-throughput screening to develop new classes of protein drugs for diseases lacking effective treatments. It operates in the biotech and AI drug discovery space.

8 investors

Quantum Brilliance develops integrated quantum microchips based on diamond nitrogen-vacancy centers for sensing and computing applications. The company serves customers in power grid monitoring, materials research, healthcare imaging, autonomous vehicles, data centers, navigation systems, space operations, and cybersecurity.

8 investors

Rain AI develops energy-efficient hardware specifically designed for artificial intelligence workloads. The company serves AI model developers and data centers seeking power-optimized computing infrastructure.

8 investors

Syenta develops high-resolution interconnect technology for chip-to-chip connections using Localized Electrochemical Manufacturing, enabling higher bandwidth between compute and memory in AI systems. The company targets semiconductor and AI hardware manufacturers with a manufacturing process designed for large-scale packaging.

8 investors

Velaura develops high-performance, energy-efficient computing solutions optimized for AI and advanced computing applications. The company was founded by engineers and executives with experience from major technology firms in semiconductors, networking, and computing infrastructure.

8 investors

Vitrealab develops and manufactures display components for augmented reality glasses using proprietary laser waveguide technology, produced in a dedicated cleanroom with custom fabrication processes.

8 investors

AIRY3D develops depth-sensing technology, including its DepthIQ system integrated onto CMOS image sensors, to give machines 3D perception. A spin-off of Montreal startup factory TandemLaunch, the company holds over 28 patents and serves customers across multiple industry verticals worldwide.

7 investors

ANELLO Photonics develops silicon photonics-based inertial navigation systems, specifically its SiPhOG platform, which delivers optical gyroscope performance in a chip-scale form factor for GPS-denied environments. The company serves defense, autonomous systems, and commercial markets requiring resilient navigation in contested or GPS-denied conditions across land, air, and sea operations.

7 investors

Axelera AI develops hardware and software platforms for artificial intelligence inference at the edge, including specialized processors and accelerators for edge computing, computer vision, natural language processing, and automotive applications.

7 investors

Baud Labs designs specialized AI chips that reduce the computational cost and power consumption of training and serving large language models by replacing multiplication-based arithmetic with addition-based operations. The company provides both custom silicon and a PyTorch-compatible compiler to enable organizations of all sizes to run AI workloads more efficiently.

7 investors

Cognichip develops Artificial Chip Intelligence (ACI), an AI system designed to accelerate semiconductor design by reducing design effort and time-to-market for chip manufacturers. The platform aims to address the hardware development bottleneck by automating chip design workflows and making the process more accessible to the semiconductor industry.

7 investors

Daanaa develops a power transfer unit (PTU) that integrates more than ten power-conversion functions into a single component at the battery-cell level, offered as a programmable battery platform and for vehicle-integrated photovoltaics. The technology targets automotive and battery power-electronics applications.

7 investors

DustPhotonics develops silicon photonics chips (PICs) and an end-to-end SiPho platform with laser integration and fiber coupling, based on its proprietary L3C laser-attach technology. Its products provide optical connectivity for data centers and AI infrastructure across a range of transceiver architectures and data rates from 400G to 1.6T.

7 investors