Data and Intelligence

The layer where factory data stops being noise and starts being a decision.

Data & Intelligence is the third pillar in INGSOL’s digital transformation approach, built on top of Hardware & Edge and Communication & Integration. By the time data reaches this layer, it has already been captured accurately at the source and moved reliably between systems. What happens here is where that effort pays off: the data is stored, modeled, analyzed, and turned into tools that plant teams can actually use to run better operations.

This is not a single product. It is a set of capabilities, digital twins, time-series data infrastructure, industrial AI and machine learning, and cloud IIoT platforms- that INGSOL configures around the specific equipment, processes, and priorities of your plant, whatever industry you operate in.

What Our Data & Intelligence Capability Covers

Digital Twin

A virtual model of a machine, line, or process, built from real operating data. Digital twins let engineers test configuration changes, forecast the effect of a process adjustment, and troubleshoot scenarios without touching the physical equipment or risking downtime.

Time-Series Databases

Industrial sensor data arrives constantly and at high frequency, which standard databases are not built to handle efficiently. INGSOL deploys time-series databases purpose-built to capture, store, and query this kind of continuous data, so historical analysis and real-time monitoring both stay fast as data volume grows.

Industrial AI & Machine Learning

Applied models trained on your plant’s own operating data, not generic industry benchmarks, used for anomaly detection, predictive maintenance, and process optimisation. The goal is to shift maintenance and quality decisions from reactive to predictive, based on evidence rather than a fixed schedule.

Cloud IIoT Platforms

Deployment and management of cloud-based Industrial IoT platforms, including AWS IoT and Azure IoT, that bring plant data into one consistent environment. This supports remote asset visibility, centralized reporting, and a platform that scales as additional lines, sites, or data sources are added.

Why It Matters

Data Only Has Value Once It's Trustworthy

A model or dashboard trained on solid historical data catches problems and forecasts outcomes a fixed schedule or gut instinct cannot.

Industrial Data Has Its Own Demands

Standard databases slow down under the volume and frequency of industrial sensor data; purpose-built time-series infrastructure keeps both real-time and historical queries fast.

Simulation Is Cheaper Than a Mistake.

Testing a process change on a digital twin costs nothing. Testing it on the live line risks scrap, downtime, or worse.

Centralized Visibility Supports Faster Decisions

Cloud platforms give plant leaders and engineers visibility into operations without needing to be physically on-site.

How We Deliver

1. Data Readiness Check

We confirm your plant’s data is reliable enough, thanks to the Hardware & Edge and Communication & Integration layers, to support meaningful analysis and modeling.

2. Use Case Identification

We identify which capabilities, digital twin, AI models, cloud platform, or a combination, address your plant’s highest-priority problems first.

3. Build & Configure.

Time-series infrastructure, digital twin models, and cloud platform environments are built and configured around your specific equipment and processes.

4. Validate

AI and ML models are tested against real production data and scenarios before being trusted for operational decisions.

5. Deploy & Support.

Dashboards, models, and platforms are rolled out to plant teams, with training and refinement as adoption grows.

Why Manufacturers Choose INGSOL

End-to-End Delivery. Our team manages the full path from initial assessment through deployment, integrating with your existing systems rather than replacing them wholesale.
Configured to Your Operation, Not a Template. Solutions are configured around your specific equipment and processes, whether you operate in manufacturing, energy, pharmaceuticals, or another process industry.
Analytics People Actually Use. Dashboards and reporting are built to be understood and used by the people making daily decisions, not just data specialists.
Built to Scale. Our cloud architecture is built to scale as you add lines, sites, or data sources, without a costly re-platform down the line.
Ongoing Support, Not a One-Time Handover. We remain involved after go-live, refining models and dashboards as your operation and data mature.