Identify thermal risk early and act before it escalates
Detect, interpret, and respond to battery instability in real time by aligning field teams, specialists, and systems as soon as risk emerges.
Applicable Across Industries & Environments
QubiSense Incident Coordination is designed for environments where time-critical decisions, multi-team alignment, and communication reliability directly impact outcomes.
Industries
- Automotive and Electric Vehicle Manufacturing
- EV Fleet Operations and Mobility Services
- Battery Manufacturing and Energy Storage Systems
- Logistics and Last-Mile Delivery Fleets
- Field Service and Maintenance Operations
Use Environments
- Field diagnostics and remote troubleshooting
- EV fleet monitoring and risk management
- Battery safety and thermal event detection
- Service center and roadside assistance coordination
- High-risk vehicle inspection and escalation scenarios
Move from fragmented signals to coordinated action
Electric vehicle battery events are time-sensitive and high-risk. A delay in identifying or interpreting early signals can lead to safety incidents, asset damage, and operational disruption. The challenge is not just detecting anomalies. It lies in correlating multiple signals and instantly aligning the right stakeholders. Thermal signals, CAN data, and acoustic inputs often exist in isolation. Without structured coordination, field technicians operate with partial information while specialists remain disconnected from real-time conditions.
QubiSense brings together edge intelligence, real-time communication, and structured workflows into a single operational layer. Instead of reacting to isolated alerts, teams operate within a coordinated decision environment where signals, insights, and actions are aligned in real time.
Trigger
The system detects early indicators of thermal instability, such as rising temperature delta, cell imbalance, and acoustic venting patterns.
An AI-driven event automatically initiates a secure coordination channel, connecting field technicians, specialists, and systems without manual intervention.
What QubiSense Edge AI actually does
- Processes data directly on the device without relying on external systems.
- Combines thermal, CAN, and acoustic inputs to assess conditions in real time.
- Generates a continuous risk score based on live operational signals.
- Converts technician speech into structured, domain-specific actions.
- Separates voices to ensure clear and accurate communication.
- Applies redaction before any data leaves the device.
What happens in real time
Live Interface
The system becomes an active decision-making environment.
Risk Scorecard
Displays real-time risk insights alongside telemetry inputs.
Guided Actions
PTT delivers step-by-step instructions to support decisions.
Adaptive Media
Enables instant video with automatic fallback to voice.
Structured Output
Generates summaries for downstream service systems.
Seamless Integration
Pushes insights directly into operational workflows.
Operational Flow
Detect anomaly > Correlate signals > Initiate coordination > Guide action > Stabilize communication > Escalate if required
Measurable Impact
- Sub-1.5 second coordination initiation
- No communication drop during network transitions
- Faster decision-making in high-risk situations
- Structured documentation generated automatically
Act Before Battery Risks Escalate
Battery risk events demand more than detection. They require immediate understanding and coordinated response. By aligning signals, intelligence, and stakeholders in real time, QubiSense enables field teams to move from reactive troubleshooting to controlled, confident intervention.
Respond before risk escalates ↗