Enterprise edge-AI observability
Telemetry built for production inference
Unify latency, thermal posture, and fleet health across Android edge nodes — with Teleneura native SDKs for React Native & Flutter, multi-tenant API-key ingestion, and an operator-grade console.
Ship faster with client SDKs
Official SDKs
Production-ready wrappers around com.teleneura.sdk:shared. Batching and HTTP stay off your inference hot path.
Python
pip · teleneura
PyTorch / ONNX pipelines · report_inference · track_inference context manager
View docsReact Native
teleneura-react-native
npm-installable bridge · Kotlin 2.3-aligned · Teleneura.init / reportInference / flush
View docsFlutter
MethodChannel plugin
Android-first plugin · Maven Local shared artifact · TFLite-friendly wrappers
View docsREST API
POST /api/telemetry
Documented JSON contract for custom transports — same payloads all SDKs emit.
View docsWhy operators choose Yasmo
Latency & QoS
Fleet-wide percentiles and consistency scores from live edge batches — not synthetic lab runs.
Thermal awareness
Battery-adjacent sensors and platform thermal signals correlated with inference windows.
Tenant isolation
API keys resolve to dedicated workspaces; dashboards and ingestion are strictly scoped.
Ready for your command center?
Open the fleet console or share documentation with your platform team.