Native training
Independent model lineage, controlled training stages, targeted curricula, and iterative improvement.
Native AI research
An independently developed AI research project focused on model training, evaluation, instruction following, runtime intelligence, and the systems required to move from experiments to usable capability.
Research areas
The public page describes the direction without exposing private training data, internal evidence, checkpoints, or development-only implementation details.
Independent model lineage, controlled training stages, targeted curricula, and iterative improvement.
Candidate evaluation and promotion decisions are based on measured behavior rather than version numbers alone.
Research into how trained capability is exposed through a dependable runtime and application layer.
Experiments in instruction following, semantic discrimination, context use, identity, and broader capability.