Intelligent agents for team orchestration
We are building AI agents that understand biophysical data that estimate risks and simulate scenarios. Our mission is to use predictive intelligence on bio-signals to minimise risks at a team level.
Foundation models trained on millions of biophysical data points
Our transformer models are trained on millions of datapoints to deliver high-fidelity simulations of team performance. It is the first step towards building intelligent agents that can optimize team performance and predict success rates based on team dynamics.
Simulation Agents
We are training transformer models that predict singular or cumulative state given prior conditions. Several agents sample from these states and can be chained together to simulate team dynamics.
Predictive Analytics
Using an ensemble of Simulation agents, we can forecast future states of individuals and teams to optimize task allocation and scheduling.
Multimodal Data
We train our models to include more that 7 types of physiological signals such as heart rate, respiration rate, SpO2, electro dermal activity, sleep, accelerometers, and more.
Safety First
We prioritize data privacy and security, ensuring compliance with industry standards and regulations. All the data is anonymized and deidentified to protect user identity.
Short and Long range forecasting
Our agents forecast short and long term states of individuals, and teams with quantified uncertainties to optimize task allocation and scheduling.
Recovery Tracking
On introduction of new tasks, our agents can simulate recovery times and track return to baseline performance.
Agentic Capabilities
We leverage realistic physiological data–based simulations to optimise task success in mission-critical scenarios.
How It Works
We run several simulations using our AI agents to optimise task allocation and workflow. Here’s a quick overview of our process:
Wearable Integration
Connect your wearable devices to stream physiological signals including heart rate, HRV, and activity data.
Signal Analysis
Our algorithms process multi-modal sensor data to extract fatigue-related biomarkers in real-time.
Forecasting
Generate forecasts of cognitive performance and fatigue levels using advanced physiological data-based simulations.
Adaptive Learning
Models continuously adapt to your changing baseline, improving accuracy with every use.
Use cases
Unlock the full potential of your team with AI-powered risk assessment and forecast
Aviation & Aerospace
Pilot workload management and crew coordination | Flight mission rehearsal and safety simulation
Naval and Maritime operations
Crew fatigue + operation readiness prediction | Maintenance scheduling based on human + system states
Mining & Industrial operations
Shift optimization for physical workload and heat stress | Safety monitoring and fatigue forecasting
Space Missions
Crew Health and Performance Forecasting | Operational Readiness Forecasting
