The startup develops infrastructure systems utilizing silicon carbide (SiC) devices and proprietary high-frequency transformers to enhance the efficiency and resilience of electrification. Their technology enables clients to optimize electricity transformation, addressing the challenges of energy loss and system reliability in modern power distribution.

This company develops software infrastructure to operate quantum computers across the entire stack. Coda provides a natural language interface that generates and executes quantum programs, while Control manages automated calibration and reliable operation of quantum hardware. Together, these products unify the quantum computing stack for scalable performance across various qubit modalities.

Enfabrica develops advanced networking solutions utilizing a fault-tolerant architecture that enables multiple data paths between CPUs, GPUs, and memory endpoints, enhancing reliability and load distribution. Their technology addresses the limitations of traditional point-to-point networking by supporting up to 524,288 accelerators in a scalable, high-performance AI infrastructure.

Exowatt develops modular, dispatchable energy systems designed to power AI infrastructure using solar energy. The system captures solar heat, stores it efficiently in a thermal battery, and converts it to on-demand electricity using a proprietary heat engine. This provides clean, 24-hour baseload power for data centers and utilities seeking reliable, scalable energy solutions.

Ferveret develops liquid cooling solutions using subcooled boiling technology to significantly reduce energy waste and emissions in data centers, AI applications, and crypto mining operations. By improving CPU and GPU performance while minimizing the physical footprint, Ferveret addresses the inefficiencies of traditional cooling methods that contribute to rising electricity consumption and carbon emissions.

GridCARE accelerates AI data center deployment by identifying and unlocking latent capacity within existing electrical grids. The company uses AI to streamline power acquisition for AI infrastructure developers and utilities, reducing time-to-power from years to months.

Gruve offers an AI‑native infrastructure platform that replaces traditional cloud stacks for inference‑heavy, agent‑driven workloads. By providing distributed inference, a trusted data foundation, and built‑in security on scalable Kubernetes‑based containers, it delivers ultra‑low latency, cost‑efficient execution and aligns performance with business outcomes for enterprises and fast‑growing AI startups.

Hammerhead provides a SaaS platform that uses reinforcement‑learning agents to continuously orchestrate power, cooling, and GPU scheduling in AI data centers, redirecting unused “stranded” megawatts to AI workloads in real time. By unlocking up to 30 % more compute capacity within existing power limits, the solution boosts token throughput, reduces marginal costs, and creates new revenue streams for colocation providers, AI cloud operators, and enterprise AI factories.

The startup develops deep learning technology that integrates machine learning capabilities into electronic devices and robots, enhancing their computational power and connectivity. This technology enables the creation of smart products that perform tasks efficiently, improving user safety and convenience.

Vaire Computing develops near-zero energy chips utilizing adiabatic reversible computing to significantly reduce energy consumption in computing processes. This technology addresses the escalating energy demands of modern computing, particularly in AI applications, by minimizing heat generation and enhancing efficiency.