During a recent BFM Business – Tech & Co interview, I shared a reality many leaders are now facing:

LLMs cannot meet industrial requirements on their own.
To be reliable, scalable, and cost-efficient, they must rely on a cognitive and contextual layer that stabilizes outputs, preserves context, and controls costs.

This is exactly what Ontbo builds.

A Cognitive AI Layer for Existing Models

Ontbo augments existing LLMs with Cognitive AI—adding memory, reasoning, and contextual continuity without replacing current systems.

What This Enables

• Up to 95% token reduction → lower compute and energy costs

• Responses up to 5× faster → better user experience

• Fewer errors → higher reliability and less rework

• Persistent, traceable memory → autonomous, learning agents

• Flexible deployment (cloud, on-prem, Azure Marketplace)

Real Business Impact

Cognitive AI turns AI experimentation into industrial reality:

• Lower operational costs without performance loss

• Higher productivity through adaptive automation

• More reliable and explainable outputs

• Scalable AI without budget explosion

The future of AI is not just larger models, but smarter systems that understand, remember, and adapt.