An AI lab in the Caribbean.

CorX Labs was founded by Nathan, a solo developer from Jamaica. For years the goal was the same one: build an AI — not adapt someone else's, but write the thing himself and train it up from random weights.

It started with APIs. An early chatbot built on top of Gemini, customised piece by piece — which worked, but was never the same as building from the ground up. Then came fine-tuning, which failed: slow GPUs, training runs that took forever, and eventually the decision to walk away from that approach.

CorX1.5 is what came out the other side. A custom transformer architecture, a tokenizer trained from scratch, a three-stage pipeline covering pretraining, distillation and reasoning — designed, debugged and trained solo on a single GPU. Every checkpoint in the repository represents real hours spent fixing data pipelines, chasing down overfitting, and learning how these systems actually work underneath.

It is open-sourced for exactly that reason: so other people can take it apart the same way.

Four more models followed: TriStream-SVS for singing voice synthesis; CorX3.8-27B, a Jamaican Patois assistant and the one fine-tune in the line-up; HELIX, a sequence architecture; and NatureV1, a weather and hurricane research model. Then Automa, an app for running AI agents from a phone. Every one is documented with what it does and where it stops.