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Lamb Labs

“Lightning fast chips with hardcoded AI models”

AI/MLSeedRaising $500K

Open round — Lamb Labs is raising $500K for its Seed

The founder is taking investor conversations now, and on PitchSpark you reach them directly — no warm intro, no gatekeeper.

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Overview

Lamb Labs develops custom Model Processing Units (MPUs) that hardcode LLM weights directly into silicon to achieve ultra-fast, low-power AI inference. By eliminating the need to move weights between memory and compute, they provide a private, local, and highly efficient alternative to traditional GPUs.

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Traction

as reported by the founder

Part of Y Combinator Summer 2026 cohort; raised $500K in a convertible note.

What problem are you solving?

Traditional GPUs are inefficient for AI inference because they consume the majority of their energy moving data between memory and compute, leading to high costs, latency, and energy waste.

What makes your product special?

Lamb Labs builds custom chips that hardcode AI models directly into hardware, enabling significantly higher processing speeds and energy efficiency for on-edge AI inference.

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Company updates

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Achievements

Lamb Labs — raising $500K