AI Engine
Digital twins · prediction · anomaly detection · reasoning
The reasoning layer. Takes sensor data, operational context, and historical patterns — and produces predictions, anomaly flags, and decision support. Currently operating as infrastructure inside Thermal and Care, and as the build capability behind AI Building Services.
What it does.
Digital twin runtime
A real-time model of a facility, care network, or supply chain — updated continuously as sensor data arrives. The twin is the shared truth that every stakeholder view is drawn from.
Time-series forecasting
ARIMA, Prophet, and LSTM models trained on operational time series. Predicts heat zone risk before thresholds are crossed. Predicts health pattern deviation before a family needs to call.
Anomaly detection
Statistical process control applied to real-time sensor streams. Flags deviations from learned normal patterns without requiring manual threshold configuration per sensor.
LLM reasoning and assistant
Claude-powered AI assistant grounded in operational data. Not a generic chatbot — an operator co-pilot that knows the facility, the current sensor readings, and the compliance context.
How it powers ecosystems.
Heat stress prediction, WBGT anomaly detection, satellite drift regression, Operator AI assistant with facility context
Health pattern baseline and deviation detection, fall risk scoring, medication compliance alerts, caregiver AI summaries
Analytical pipeline reasoning, AI interpretation of geospatial outputs, report narrative generation
Current state + roadmap.
Powers prediction and anomaly detection inside Thermal Live and Care portal. Invisible to end users — they see alerts and insights, not the engine.
AI Building Services delivers custom AI systems to clients — digital twins, sensor+AI pipelines, operator platforms. This is the AI Engine applied to a client's operational data.
Potential future state: a self-service AI platform where organizations can connect their own data sources and configure reasoning pipelines without an engagement.
Autonomous operational agents that monitor systems, trigger actions, and coordinate across stakeholder roles without constant human input.
AI Building Services is available as a professional service engagement — delivered manually by the LinkedTIERRA team.
Explore the service →The AI Engine may evolve into a standalone product layer — a configurable reasoning environment for operational data. No release timeline yet. The service engagement is the current path.