Case Study: Embodied achieves faster, more natural Moxie conversations with aiXplain

Revolutionizing Child Education with Advanced AI

Embodied, a company in the E-Learning industry, faced a challenge with its Moxie Robot. The large language models (LLMs) it required for natural conversations had extremely long inference times, making them impractical for dynamic, child-friendly interactions.

aiXplain addressed this by hosting an LLM on the Groq LPU™ Inference Engine, offering it as a high-speed streaming solution. This collaboration provided Embodied with a transformative impact, substantially adding value for its customers by enabling fluid conversations. It also efficiently reduced operational costs and opened new possibilities for expanding the robot's applications beyond general speech tasks.

Embodied

Paolo Pirjanian

Chief Executive Officer