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Dots-In — The World's Only Large Behavioural-Omics Model | The Human Code
The
C
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AnewclassofFoundationalAIforhumanunderstanding.
TheLargeBehavioralModel(LBM)isanintelligencelayerthatunderstandspeople,modelingbehavioralstateandcontextforadaptiveinteractions.
Sense & Understand
Continuously sense signals from your digital life, environment and biology to understand context.
Model & Reason
Build a dynamic map of your behavioral state and causal structure reason about change.
Adapt & Act
Decide the right action, at the right time, with the right context across every tool and channel.
Reflect & Evolve
Observe outcomes, reflect and continuously evolve your living twin and the system with you.
Measurable impact across
every human-aware system.
Dotsin LBM turns behavioral understanding into measurable outcomes improving personlization, adaptation, empathy, commercial performance, and well-being at scale.
Personalisation
More relevant experiences tailored to each individual.
Adaptation
Systems that learn faster and respond in real time.
Cost reduction
Lower operational costs through behaviourally-optimised systems.
Empathy
Stronger human connection drives loyalty and trust.
Commerce
Higher conversion and revenue from behaviour-led decisions.
Wellbeing
Improved outcomes that support health, balance, and resilience.
One intelligent core
Infinite real-world impact.
Interactive Playground.
Explore causal relationships in real time.
One behavioral intelligence layer. Many Domains.
Dotsin LBM is domain-agnostic by design. It understands the human behind every decision and adapts that intelligence across any sector or workflow.
Health Agent
Behaviour-aware support for prevention, recovery, energy, and care decisions.
disconnected metrics & wellness advice.
Identifies patterns and gives tailored advice.
Work Agent
Adapts tasks, scheduling, and workflows to cognitive load and focus state.
Reacts to short-term signals.
Understands behaviour, goals, and risk.
Learning Agent
Personalises pace, content, and learning pathways to each individual.
One-size-fits-all learning experience.
Adapts to pace, attention, and progress.
Finance Agent
Maps actual risk tolerance from behavioural signals, not questionnaires.
User reacts emotionally to trending assets.
Agent detects stress and acts in real-time.
Commerce Agent
Improves relevance, timing, and conversion through behavioural context.
User gets generic recommendations.
Agent time offers around genuine intent and receptivity.
Travel Agent
Coordinates movement and booking choices around state, timing, and intent.
User backs based on the prices alone.
Agent balances timing, fatigue, and purposes.
Personalisation Unlocking
through LBM.
From data ingestion to behavioral intelligence, adapter outputs, and multi-domain use cases.
1. Data Ingestion Layer
Mobile Apps
IoT Sensors
Wearables
Cloud Server
Digital Behaviour
Contextual Signals
Onboard
Needs, Interests, Habits
Assess
Skills, Neuropsychology
Adaptive
Real-time Digital/Medical
Genomics
Genomic & Neural Data
Episodic Data Input
Physiological • Digital • Contextual
2. LBM Infra Layer
Episodic Input Parser
Behavioural State Vector (BSV)
Causal Discovery & Graph Engine
Multi-scale Episodic Memory
Simulation & Root Cause Engine
Policy & Intervention Engine
Safe RL /
Multi-objective
optimization
3. Adapter Outputs
Adapters for personalisation and decisioning
Behavioural State Vector
(BSV)
Causal
Graph
4. LLM / API Adapter + Use-Case Layer
LLM / API Adapters
GPT
Gemini
Claude
APIUse Cases Across Domains
Education
Workplace
Health & Wellness
Finance
Public Sector
Consumer/AI
AI Companion / Personalization
Unlock truly adaptive experiences
Optimized for human understanding.
View ReportBenchmarking Dotsin LBM on latency, personalisation accuracy, and causal reasoning. Powered by 580+ behavioural dimensions and grounded in the benchmark paper arXiv:2606.09672 with Intel infrastructure results
Latency
Cold-start activation and runtime responsiveness
Fast activation from past behavioural data
Causal Reasoning Benchmark
LBM vs other AI systems
Gap: 0.051 → 0.302
Hard negatives: 5/5 separated
Personalisation Accuracy
Adaptive relevance across sessions
0.775–0.779
BIOSSES Spearman ρ
152
active contexts
115
adaptive loops
Compounds with memory and continuous adaptation
Cold Start to personalisation accuracy
Personalisation growth over 30 days
Base to fine tuned gap: 0.051 -0.302
Personalisation compounds with memory, causality, and continuous adaptation.
Model
the Human.
LBM gives AI a living understanding of people to predict, personalize, and elevate every interaction.
Model the Human
Understand people across 580+ behavioural dimensions, not just prompts or clicks.
One Core,
Many Domains
Apply anywhere. Scale everywhere.
Causal Understanding
Discover why behaviour happens and map the causal paths behind real outcomes.
Adaptive by Default
Continuously learn, personalize, and evolve with every new interaction.
Personalisation compounds with memory, causality, and continuous adaptation.
One infrastructure
for human understanding.
LBM is a domain-agnostic causal world model of the human. It personalizes every product, API, and agent wherever software needs to understand behaviour, context, state, and intent.
Decoding Human behavior
Research advancing Large Behavioural Models, causal reasoning, personalization, and the science of human understanding.
Questions,
answered.
Everything you need to know about Dotsin LBM, behavioural intelligence, APIs, research, and deployment across 60+ architectural topics.
Dots-In LBM is a foundational behavioural intelligence layer that models the human behind the interaction. It combines behavioural state, context, memory, and causal understanding to make AI more adaptive and relevant.
Stay close to the
Human Code.
Get new LBM releases, research, Pioneer drops, experiments, and ways to build with human intelligence straight to your inbox.