Fairness, designed in.
Measuring outcomes shows where the gaps are. The next step is decisions that are fair, explainable and checkable from the start.
Sentient OS is building its own AI architecture to do exactly that, and protecting it as a portfolio of intellectual property.
How it connects
Today, the Workplace Outcomes Review and the Pledge use a careful, published method. What we learn shapes the architecture. The architecture is designed to make that evidence faster and clearer over time.
Honest status: Sentient OS Ltd has patent applications pending for parts of this work.
Why new architecture?
Most AI learns from past decisions. So it can repeat past gaps. We think fairness has to be part of the structure, measured the same way for everyone, not bolted on afterwards.
The portfolio
- CP3PO / ADF. Built so AI stays within its purpose and checks its reasoning before it acts. So high-stakes decisions can be trusted and explained.
- Semantic Symbol Communication. Helps AI systems share meaning precisely, so information keeps its intended sense from one system to the next.
- SIA (in development). AI that learns from checked knowledge, built to be dependable, not just big.
- TEACS. Helps organisations build fair, evidenced decisions in from the start.
The AI race was never about hardware. It's about architecture. That's the real frontier. AI innovation, applied to fair outcomes. At Sentient OS, the AI architecture and the equality data analytics are two halves of one aim.
Our principles
Purpose-bound · Explainable to a board · Privacy built in · Open to testing against agreed measures.