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End-to-end monitoring

From the rack to the AI, one continuous chain.

Sensors, gateways and analytics, one platform.

End-to-end monitoring: IoT sensors, edge gateways, data normalization and AI analytics on a single platform for complete infrastructure visibility.

  • Physical sensing
  • Data acquisition
  • AI analytics
  • One platform

Sense

Field sensors

Acquire

Edge gateways

Normalize

One data model

Insight

AI analytics

One platform owns every layer, no vendor handoffs

One continuous chain

From the rack to the AI, one continuous chain.

Most monitoring stops at one layer. Prochista runs the whole chain: the sensor in the field, the gateway that collects it, and the AI that makes sense of it.

Physical sensing

Industrial sensors capture temperature, power, environment and equipment health right where it happens.

  • Temperature
  • Power
  • Environment

Data acquisition

Gateways and DAQ nodes collect, timestamp and normalise readings, then forward them securely.

  • Collect
  • Timestamp
  • Normalize

AI analytics

ProDCIM turns the stream into insight: dashboards, thresholds, anomaly detection and forecasts.

  • Dashboards
  • Anomaly
  • Forecast

No integration seams between sensing and insight.

Because Prochista owns every layer, data flows from the sensor to the screen without a single handoff to engineer.

3 layers

One platform

Real-time

Sensor to screen

Zero

Integration seams

24/7

Continuous monitoring

Capabilities

One unbroken pipeline, end to end.

Unified visibility

Every site, device and metric on one NOC dashboard, no tool-hopping.

Real-time stream

Live readings from the field to the control room with sub-minute latency.

Anomaly detection

AI flags drift and outliers before they turn into incidents.

Trends & forecasts

Historical analytics and capacity forecasting built into the platform.

Smart alerting

Threshold and rule-based alerts routed to the right team, every time.

Secure by design

Encrypted transport, deployed on-prem or cloud, your data stays yours.

How it works

Four stages, one unbroken pipeline.

The same path for every reading: measured in the field, surfaced as insight in the control room.

1. Measure

Field sensors read the physical world continuously and reliably.

2. Acquire

Gateways collect, timestamp and buffer every reading at the edge.

3. Normalize

Data is cleaned, unified into a common model and stored.

4. Insight

AI analytics surface what matters, on the dashboard and in alerts.

On the platform

One screen for the whole chain.

Sample platform data shown.

prodcim.local · NOC dashboard
ProDCIM NOC dashboard
prodcim.local · monitoring
ProDCIM monitoring view

Part of the platform

Better together, on one platform.

Explore at your own pace

Not ready for a demo? Take the next step.

Plan your deployment

A short guided assessment that scopes your sites, gateways and sensors and recommends a deployment profile, in about a minute.

Open the planner

See the whole chain on your infrastructure

Book a walkthrough and we'll map your sensors, sites and analytics into one platform.

FAQ

Frequently asked questions

What is end-to-end infrastructure monitoring from Prochista?
It is a single platform that covers every layer of the monitoring chain: IoT sensors in the field, edge gateways that collect the data, data normalization, and AI analytics on top. Because Prochista designs the full stack in-house, readings flow from the sensor to the screen with no integration seams between layers.
How does a sensor reading get from the field to my dashboard?
Every reading follows the same four-stage pipeline: field sensors measure conditions continuously, gateways collect, timestamp and buffer the data at the edge, and the platform cleans and unifies it into one common data model. AI analytics then surface what matters on your dashboard and in alerts.
Do I need separate vendors for sensors, gateways and the monitoring software?
No. Prochista builds the sensors, the data-acquisition gateways and the ProDCIM analytics platform as one stack, so there are no vendor handoffs and no integration work to engineer between sensing and insight. One team owns the whole chain, from the rack to the AI.
What can the sensors actually measure?
Industrial sensors capture temperature, power, environmental conditions and equipment health right where it happens. Everything lands on one NOC dashboard covering every site, device and metric, so your team is not hopping between tools.
How close to real time is the monitoring data?
Live readings travel from the field to the control room with sub-minute latency, and monitoring runs continuously, 24/7. Threshold and rule-based alerts are routed to the right team every time.
What does the AI layer add on top of the raw sensor stream?
ProDCIM turns the stream into insight: anomaly detection flags drift and outliers before they turn into incidents, while historical trend analytics and capacity forecasting are built into the platform.