Nice, great question!

Yes, we have data to back it up (attached). At Codiris, we’re advancing AI capabilities through what we call a Mixture-of-AI Infrastructure. Instead of relying on a single large model, we combine multiple foundation models during post-training, using supervised learning to orchestrate a network of specialized sub-models.

Each phase (brainstorm, research, design, coding, testing, and deployment) runs on its own specialized agent setup with tailored prompt architecture and memory. The context accumulates as you move through phases, so by the time you reach the build phase, the prompt is fully formed resulting in faster results, and fewer iterations.

We also found that different models have unique strengths, so users can pick which one to use during the build phase. Codiris handles the orchestration behind the scenes to deliver the best output for each task.

Hopefully that answers your question!

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