Platform AI Harness Battery Intelligence QuantaCloud QSense Mobile Developers Book a walkthrough
FlareBot · Generative Analysis preview

Asset operations.
Battery depth.

Live telemetry, fleet context, continuous monitoring, generative analysis, custom dashboards, and cycle-aware battery intelligence—in one operating surface.

Capabilities

Everything in the asset's operating context

Real-Time Monitoring

Live telemetry dashboards with sub-second latency via SignalR WebSocket connections.

Battery Intelligence

SOH and RUL, equivalent full cycles, efficiency, degradation, cell balance, and thermal analytics.

On-Demand Analysis

Ask a question in plain language and generate a live plot, table, or analysis against the active unit.

Custom Dashboards

Drag-and-drop dashboard builder with ApexCharts visualization. Tailor views to your workflow.

Geospatial

Map-based asset tracking powered by Mapbox. See every device, site, and fleet on a live map.

API-First

Versioned REST API with Swagger documentation. Integrate with your existing tools and workflows.

Multi-Tenant

Built for teams and enterprises

Hierarchical organization structure supports companies, sites, and device groups. Role-based access control keeps your data secure across teams.

  • Organization & site hierarchy
  • Role-based access control
  • Product template system
  • Audit logging
Acme Energy Corp
Texas Grid Site — 42 devices
California Fleet — 128 buses
R&D Lab — 8 test benches

Configuration

Flexible protocol mapping

Configure CAN, UDS, and Modbus mappings through an intuitive admin interface. Define data transformations, signal decoding, and alert thresholds — no firmware changes required.

  • Visual CAN/UDS signal mapping
  • Custom data transformations
  • OTA config push to devices
  • Simulation & testing mode
can-config.json
// CAN signal mapping example
{
  "signal": "battery_voltage",
  "can_id": "0x621",
  "start_bit": 0,
  "length": 16,
  "factor": 0.01,
  "unit": "V",
  "alert_threshold": {
    "min": 42.0,
    "max": 58.4
  }
}
Experimental preview

Fixed dashboards when you know.
Generated analysis when you don’t.

The current unit, streams, keys, units, and summary statistics become the context for a plain-language question. QuantaCloud renders the answer as a live artifact and lets the operator refine it in place.

  • Grounded in the active assetNo copying IDs, schemas, or signal names into a separate AI tool.
  • Plots, tables, and analysisThe response is a working surface, not a paragraph describing the chart you still need.
  • Ask, refine, repairFollow up conversationally and use runtime feedback to repair an artifact.

Bulk telemetry remains in the QuantaCloud data path; the model receives catalog and summary context.

On-Demand AnalysisExperimental
Electric Car Kito QF Production 9 keys / 2 streams Data catalog

Plot the last 24 hours of voltage with temperature

Voltage + temperatureSOC histogram
Voltage & temperatureLast 24 hours · 5-minute average
VoltageTemperature
12 AM6 AM12 PM6 PMNow

Ready to understand the asset behind the data?

Bring us a reporting asset and the questions your team cannot answer quickly today.