Edge Analytics

Insight where the data is born.

Talvora Edge runs analytics and machine learning where data is born, delivering real-time insight on constrained hardware at the plant.

1.4ms decisions 98% processed at edge Offline ready
edge / fleet-apaclive
cloud / 2% sent up
EDGE-TOK 0.8ms
EDGE-OSA 1.1ms
EDGE-NGO 1.4ms
EDGE-SPP 1.0ms
EDGE-FUK 1.2ms
1.4ms
p99 decision
98%
at the edge
5
edge sites
What Talvora does

The runtime that lives at the edge.

Analytics and inference on the hardware already at the plant, designed for low latency, intermittent links, and constrained compute.

Edge runtime

A lightweight runtime for analytics and inference that runs anywhere at the plant.

On-device ML

Run and accelerate models right next to the process, with no round trip.

Stream processing

Real-time analytics on high-rate signals, windowed and aggregated locally.

Store and forward

Keep running through dropped links, then reconcile when the network returns.

Fleet management

Deploy, update, and monitor thousands of edge nodes from one place.

Hardware support

Broad support for industrial edge devices, gateways, and accelerators.

Why edge

The round trip you do not take.

Decision at the edge
1.4ms
Analyze, infer, and act before the next sample arrives.
Round trip to cloud
240ms
Too slow to close a control loop, and offline when the link drops.
14k
Edge nodes deployed
98%
Processed at the edge
1.4ms
p99 decision latency
40+
Device platforms

Bring intelligence to the last meter.

Get a demo →