AI-powered mesh sensing for real homes and real savings
Turn raw mesh signals into everyday automations.
This AI layer sits on top of your Mesh Sense deployment and quietly learns patterns: motion, presence, and anomalies. That means less time debugging devices and more time building experiences your users love.
Every packet your mesh sees can become training fuel — turning a one-time hardware install into a long-term source of automation and insight.
Train on the data your home actually produces.
Mesh Sense devices stream synchronized IMU, BLE, and environmental data designed specifically for AI model training.
- High-frequency IMU + RF snapshots for robust motion & presence labels.
- Configurable sampling windows to balance battery life and model accuracy.
- Edge pre-processing reduces raw bandwidth and cloud storage cost.
Industry-standard tools, tuned for mesh data.
We use modern deep-learning stacks and MLOps workflows to turn raw mesh data into reliable room-level intelligence.
- Frameworks like TensorFlow, PyTorch, and ONNX for portable model graphs.
- Versioned experiments so you can roll back any model in seconds.
- Auto-tuning pipelines to reach useful accuracy with fewer training runs.
The mesh in the field becomes your ongoing dataset.
Opt-in telemetry from deployed meshes feeds back into the training loop for long-term model improvement.
- Privacy-aware sampling: only the signals and labels you approve.
- Automatic drift detection when environments or habits change.
- Rolling updates so models get smarter over time without rewiring hardware.
Blend your own datasets with mesh signals.
Bring in CRM, ticketing, or building-management data to build richer, cross-system models.
- Flexible schema mapping for time-series and event-based sources.
- Secure import from cloud buckets or direct API connectors.
- Joint training pipelines that turn siloed data into new savings opportunities.
See issues before users notice them.
Low-latency inference surfaces the events that matter: motion, anomalies, and device health in near-real time.
- Streaming analytics per room, per node, and per device family.
- Smart alerts that filter noise so your team gets fewer false alarms.
- Edge and cloud inference options to fit your latency & cost targets.
Highlight only the events that matter, so teams spend **less time staring at dashboards** and more time shipping improvements.
Drop AI-powered insights into any app you already use.
A clean API layer and outbound webhooks let you push mesh insights into dashboards, automations, and support tools.
- REST + WebSocket endpoints for live status and historical queries.
- Signed webhooks that flow into tools like Grafana, Home Assistant, or custom portals.
- Simple integration path that delivers value in days, not months.
/api/webhook-test endpoint so teams can see exactly what their dashboards receive.POST /api/webhook-test