AI AI Hardware Companies
Discover leading companies in the AI Hardware sector.
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AI Hardware Companies
Groq
It develops AI chips for organizations building and running AI workloads, positioning its hardware as infrastructure for the AI compute market.
SambaNova
It develops AI chips and systems designed to run large-scale artificial intelligence workloads for enterprises and developers.
SambaNova Systems
Builds AI chip hardware and related infrastructure for organizations seeking high-performance compute for artificial intelligence workloads.
Lambda
Provides AI computing infrastructure and GPU cloud services for organizations building, training, and deploying machine learning models.
Source Foundry
Develops specialized semiconductor hardware components tailored for the high-performance requirements of modern artificial intelligence workloads.
Fractile
Designs and develops AI-focused silicon and accelerator systems for datacenter-scale training and inference, positioning as an alternative to incumbent GPU vendors.
SiEngine
Develops automotive chips and related silicon-to-software platforms for software-defined vehicle applications.
QuantWare
Develops industrial-scale quantum chips and supporting hardware to transition quantum processors from lab prototypes to manufacturable systems, backed by strategic investors.
Frore
Builds AI-focused semiconductor chips and hardware for deep-tech compute applications, positioning itself as a deep-tech chip startup.
XCENA
Builds chips aimed at relieving memory bottlenecks in AI systems, positioning memory performance as a key constraint beyond compute.
Openchip
AI chip startup building Europe's semiconductor independence — latest 2026 funding round details, investors, and valuation insights inside.
QuantumDiamonds
Develops diamond-based quantum sensing technology for semiconductor chip testing and manufacturing quality control.
SiMa.ai
Develops edge inference chips for running AI workloads outside centralized cloud data centers, targeting on-device and near-device deployments.
Cognichip
Builds AI-driven systems that design and optimize semiconductor chips intended to accelerate and power artificial intelligence workloads.
Orbital Industries
It develops AI-enabled, non-toxic cooling systems for next-generation GPUs used in demanding compute environments.
OXMIQ
Develops a licensing model for AI chip technology, giving customers access to AI hardware designs without building chips in-house.
Celera Semiconductor
Develops semiconductor technology for AI hardware applications, with a recently closed $30 million Series B financing round.
Sandbar
AI-powered wearable technology company building Stream, a private voice ring device for capturing thoughts and notes via push-to-talk with AI-powered organization.
Invisix
Develops soft x-ray inspection systems to detect semiconductor manufacturing errors and improve chip production quality control.
Groove Quantum
Develops scalable manufacturing methods and chip technologies to enable mass-producible quantum processors and quantum hardware for industrial and research use.
Mosaic SoC
Designs an AI perception system-on-chip to perform vision and sensor processing on-device for augmented reality glasses and wearable optics.
Granarium
Develops wood-chip-based energy technology intended to support and reshape Europe’s energy grid, backed by early venture funding.
Arkeon
Precision manufacturing technology is developed to improve quality and control in quantum chip production.
Frequently Asked Questions
How many AI AI Hardware companies are tracked?
We currently track 23 companies in the AI Hardware sector, with a combined funding total of $6.2B + €259M.
Which AI Hardware company has raised the most funding?
Groq leads the AI Hardware sector with $1.7B in total funding raised.
What is the average funding for AI Hardware startups?
AI Hardware companies in our database have raised $6.2B + €259M in total across 23 companies, reported in more than one currency. This includes all stages from seed to late-stage rounds.