Global

A framework for efficient model inference with omni-modality models

The enterprise world model built by DeepLethe. It is the first open substrate for knowledge engineering that learns passively and governs itself.

Cadence's goal is a continuing learning system with the flexibility of animal and human problem solving: acquiring skills from experience, retaining useful knowledge, imagining alternatives and creating solutions across domains.

An all-in-one VLA engineering platform for embodied AI — from data to real-robot deployment.

A benchmark should deliver more than a scalar score: what makes an evaluation trustworthy is the reasoning that justifies the score.

A single-GPU, end-to-end research pipeline with a falsifiable core: every imagined action is replayed in the real simulator before anything is claimed about it.

Training Object Permanence in World Models — the codebase