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Neurophos designs AI accelerator chips built with optical metasurfaces and silicon photonics to deliver high-density, energy-efficient AI computation for data centers. Its processors are designed to shrink optical components by about 8000x, increasing compute power per dollar spent and reducing both capital and operating expenditures. The product works by using optical processing techniques that handle AI inference workloads more efficiently than traditional GPUs or electronic AI accelerators, enabling faster throughput with lower power use. Neurophos differentiates itself by combining optical metasurfaces with silicon photonics to achieve higher density and energy efficiency, targeting data centers and enterprises that need scalable, cost-sensitive AI inference. The company aims to reshape the AI landscape by offering faster, denser, and more energy-efficient AI computation while lowering the total cost of ownership for data centers.
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Industries
Data & Analytics
Hardware
AI & Machine Learning
Company Size
51-200
Company Stage
Series A
Total Funding
$117.2M
Headquarters
Austin, Texas
Founded
2020
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Total Funding
$117.2M
Above
Industry Average
Funded Over
2 Rounds
Industry standards
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Neurophos secures funding round to advance photonic AI chip. Neurophos is a semiconductor startup based in Austin, that manufactures high powered, energy efficient photonic chips for AI inference. The company was established by Dr Patrick Bowen and Dr Andrew Traverso, who have gathered a professional team of experts with deep experience from major tech and hardware companies such NVDIA, Apple and Meta. Neurophos just secured a funding round from major investors including M12(Microsoft) to advance its photonic AI chip development. The company is addressing a major bottleneck in the AI industry. Traditional silicon based GPUs are struggling to support the demands of modern AI algorithms. To solve this Neurophos has developed a novel Optical Processing Unit (OPU). Unlike traditional chips, this chip uses light-based(photonic) computing and metamaterials to perform calculations. The company has been able to achieve massive miniaturization, they have managed to shrink optical components by 10000x, allowing them to fit over a million processing elements onto a single chip. The company has claimed that the chips have huge performance gains, their technology can provide up to 100x the performance and energy efficiency of traditional chips. Neurophos also claims that their chips are more sustainable, reducing the amount of electricity required for high level AI inference, hence reducing the carbon footprint of data centers. Neurophos also chips also boasts seamless integration, the chips are designed to be drop in replacements for existing GPUs, allowing data centers to easily upgrade their infrastructure. The new capital will be used to finalize the company's first integrated compute system, expand its software stack and open a new engineering facility in San Francisco. Investors and industry experts view this as a "physics-level" breakthrough that would be able to support modern AI models, as traditional Moore's law begins to plateau.
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We're working on gathering enough insights on this company, check back soon!
Industries
Data & Analytics
Hardware
AI & Machine Learning
Company Size
51-200
Company Stage
Series A
Total Funding
$117.2M
Headquarters
Austin, Texas
Founded
2020
Find jobs on Simplify and start your career today