Question 1

What is a Large Behavioural-omics Model (LBM)?

Accepted Answer

A Large Behavioural-omics Model (LBM) is a foundational AI system that models who you are — not just what you do. Unlike LLMs that model language distributions, LBM models behavioural state trajectories, creating a living digital twin that evolves with every interaction.

Question 2

How is LBM different from traditional recommendation systems?

Accepted Answer

Traditional AI predicts your next word or click but cannot model WHY you behave the way you do. LBM uses causal reasoning and continuous learning to understand, predict, and adapt to individual human behaviour through behavioural digital twins.

Question 3

Is my data private with Dots-In?

Accepted Answer

Yes. Dots-In uses privacy-preserving techniques including homomorphic encryption, federated learning, and differential privacy. Your raw data never leaves your device — only encrypted gradients are processed.

Who are you?