Edge AI
Runs selected inference, detection and automation close to the equipment and sensors generating the data.
DISTRIBUTED INTELLIGENCE
LEXI distributes sensing, context, AI inference and control across the Gateway, the building and the cloud so each function can run where it creates the most value.
Local intelligence for speed and resilience. Cloud coordination for scale, management and portfolio visibility.
EDGE AI -> DISTRIBUTED AI -> PHYSICAL AI
Building operations span field devices, gateways, applications and cloud services. LEXI places intelligence across that continuum instead of requiring every signal and decision to make a cloud round trip.
Runs selected inference, detection and automation close to the equipment and sensors generating the data.
Coordinates data, context, rules and AI across gateways, buildings and cloud services.
Turns sensing and reasoning into governed real-world actions while preserving operating constraints and verification.
NXP eIQ + LOCAL INFERENCE
LEXI is using the NXP eIQ AI development environment to deploy lightweight AI/ML models on our Universal Building Automation Gateway and combine local inference with multi-protocol building data.
Identify unusual operating patterns, events and device behavior close to the source.
Combine signals from different sensors and equipment by time, location and context before escalating an event.
Support lightweight predictive models for energy, equipment and occupancy-related use cases.
Use multiple signals, thresholds and model outputs together to improve event quality before triggering a workflow.
CONTEXT MAKES THE DATA MORE USEFUL
LEXI brings wireless devices, BACnet systems and Modbus equipment into a common managed edge. That makes it possible to evaluate conditions across protocols instead of treating every endpoint as an isolated data source.
Correlate events across devices, equipment and protocols.
Associate data with time, location, asset and operating state.
Combine sensor signals before deciding whether a condition requires action.
Send enriched events and results upstream instead of relying only on raw telemetry.
SENSE -> CONTEXT -> REASON -> ACT -> VERIFY
LEXI combines AI outputs with rules, thresholds, permissions and operating guardrails so selected workflows can execute locally while physical-device actions remain governed.
- collect telemetry and events from connected equipment, meters, rooms and sensors.
- understand where the event occurred, what asset is involved and the current operating state.
- apply analytics, rules or AI inference to determine what the condition means.
- trigger an alert, workflow or approved local control action.
- confirm the resulting state and preserve the event for upstream visibility.
LOCAL EXECUTION + CENTRAL COORDINATION
Distributed Intelligence combines local execution with centralized management. Gateways can handle selected processing and response close to the building while cloud services provide broader visibility, model and software lifecycle management, analytics and coordination across sites.
Local inference, rules, event correlation, resilient operation and approved low-latency workflows.
Coordinate events and context across connected systems, gateways and applications.
Manage gateways, applications, software, models, dashboards and portfolio-level analytics from a centralized environment when desired.
DIGITIZE FIRST. DISTRIBUTE INTELLIGENCE NEXT.
LEXI starts by bringing dark and fragmented assets online. Once the physical building is connected, the same managed edge can support progressively richer analytics, AI inference, cross-system coordination and governed automation.
Energy and demand forecasting
Equipment anomaly detection and remaining useful life
Occupancy and presence intelligence
Cross-protocol event correlation
Local automation and protected control
Portfolio-level model, software and fleet management
Distributed intelligence across gateway, building and cloud