Case Study: Innate achieves accessible, real-time AI-powered robots with Groq

A Groq Case Study

Preview of the Innate Case Study

Innate - Customer Case Study

Innate, a Silicon Valley startup, builds a platform and the Maurice robot to make it simple for engineers and hobbyists to create AI-driven home robots. Their challenge was giving hobbyists easy, low-latency access to the latest LLMs, visual-language and manipulation models so robots can understand surroundings, make decisions, and move—tasks that are time-consuming and technically out of reach for many. To address inference speed and model access, Innate partnered with Groq and uses Groq Cloud™ as its inference service.

Groq provides high-performance inference and rapidly compiles leading LLMs (often within hours), enabling Innate’s multi-agent system—navigation, decision making, task prioritization—to stream data between models and act at human speed. As a result, Innate’s robots can be customized in a matter of hours, receive instant capability upgrades when new models are released, and perform real-world tasks like serving drinks or tidying up with low latency—demonstrating measurable impacts in faster model availability and dramatically reduced time-to-customization thanks to Groq.


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