Dipole Labs

Building the photonic hardware that powers the next generation of AI and quantum infrastructure, engineered to move past the physical limits of silicon.

Sectors

Computing

Team size

10-50 people

Employee equity

Yes, employees get equity 💸

Locations

Boston · Zurich

Investors

Y combinator · Cisco Investments

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Graphene-based integrated photonics for chip-to-chip connectivity.

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Euclyd

Ultra-efficient AI inference chips built on a dataflow-SIMD architecture.

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Lace Lithography🤑

Beyond-EUV chip lithography using a helium atom beam instead of light.

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A next paradigm for frontier AI.

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AI development platform that turns plain-English prompts into working Arduino, ESP32, and Raspberry Pi hardware.

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Tendrils Compute🤑

Novel general-purpose computer architecture that scales to thousands of cores.

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