A foundational AI system that models who you are — not just what you do. Continuously learning, causally reasoning, privacy-preserving.
Current AI systems — from large language models to recommendation engines — operate on surface-level patterns. They predict your next word or next click, but fundamentally cannot model why you behave the way you do.
The Large Behavioural Model (LBM) represents a paradigm shift: a foundation model built from the ground up to understand, predict, and adapt to individual human behaviour through causal reasoning and continuous learning.
Unlike LLMs that model language distributions, LBM models behavioural state trajectories — creating a living digital twin that evolves with every interaction.
Plotting all major AI paradigms on two axes — language/pattern intelligence vs. behavioural intelligence. LBM occupies an entirely new quadrant.
You are not the same person at 3 PM on a deadline Tuesday as you are on a Sunday morning. Life is an alternating sequence of latent regimes. LBM detects transitions and optimises per regime.
In a stable state, all variables have balanced influence. Sleep is a peripheral variable with moderate connections to focus and stress.
Four-layer PPML stack. No PII ever leaves the device. The model goes to the data — never the reverse. Complete sovereignty.
A proprietary six-stage continuous intelligence loop. Protected by patent.
Multi-modal signal ingestion from behavioural touchpoints
Causal reasoning engine extracts meaning beyond patterns
Foundation model updates behavioural state continuously
Real-time personalisation of predictions and actions
Context-aware interventions across any domain
Self-improving feedback loop that strengthens over time
Head-to-head across 8 critical dimensions. Benchmarked against every major AI paradigm — not just LLMs.
Dots-In launches soon. Join the waitlist to be among the first to experience a Behavioural Digital Twin that learns, adapts, and acts — for you.