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[NEW]Needle 2: our 14MB agentic LLM for tiny devices

Backed byY Combinator

On-device AI
with cloud fallback

Deploy AI on phones, wearables, robots, home assistants, and microcontrollers.

Cactus Hybrid

On-device AI with cloud fallback

Post-trained models that know when they're wrong and request help from the cloud.

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Cactus Needle

14MB agentic LLM

Tool calling, device use, and structured extraction for tiny devices.

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Cactus Engine

Resource-constrained inference

Our runtime for the edge. SOTA quantization, battery consumption, and inference speed.

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Hybrid inference for modern applications.

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