End-to-end machine operation intelligence. Ingest data from 40+ sources, apply AI and ML, and act on real-time dashboards — all in one platform built for industrial environments.
In-Sight Analytics is excite-data's flagship industrial intelligence platform. It sits at the intersection of data engineering, machine learning, and operational technology — giving your team a single, trusted view of every machine and process on your floor.
Whether you're managing a mining operation, a manufacturing facility, or an energy-intensive plant, In-Sight Analytics connects to your existing infrastructure and transforms raw sensor data into decisions your team can act on — in real time.
It is not a dashboard tool. It is an AI layer over your entire operational data estate.
Connect to 40+ data sources — PLCs, OPC-UA, ModBus, SCADA, SAP, SQL, REST APIs, and more. No data silo is left behind.
AI and ML models run continuously on your data — detecting anomalies, scoring asset health, predicting failures before they happen.
Real-time dashboards, SPC charts, trend analysis, and custom KPI views — accessible from any device, on any shift.
Automated alerts, maintenance scheduling triggers, and an AI chatbot for instant answers to operational questions.
In-Sight Analytics covers every layer of the operational intelligence stack — from raw data ingestion to AI-assisted decision-making.
Every monitored asset receives a continuously updated health score based on live sensor data. Deterioration is flagged before it becomes a failure event — giving maintenance teams time to act.
ML models trained on your operational history learn the specific failure signatures of your equipment. Our models have demonstrated 95%+ accuracy in predicting failures at Royal Bafokeng Platinum.
Ask plain-language questions and get instant answers from your operational data. "What was the average temperature of Pump 3 last week?" The AI responds in seconds — no SQL required.
Statistical Process Control charts monitor process variability in real time. Automated anomaly detection alerts your team to deviations that exceed acceptable thresholds — before they cause quality escapes.
OPC-UA, ModBus, MQTT, REST, SQL, SAP, Historians, Excel — if your plant generates data, In-Sight Analytics can ingest it. Our data engineering team handles every integration layer.
Configurable alert thresholds, escalation paths, and notification channels (email, SMS, dashboard). The right person gets the right alert at the right time — and not a moment later.
Purpose-built dashboards for different roles — operations manager, maintenance technician, shift supervisor, C-suite. Every view shows exactly what that user needs to do their job.
Deploy on your own infrastructure, in the cloud, or hybrid. We support all major cloud platforms and can operate in air-gapped environments where connectivity is restricted.
Role-based access control, full audit logging, and data governance frameworks compliant with enterprise security standards. Your data stays yours — private, secure, and governed.
Frequent equipment failures and high callout costs were eroding margins. In-Sight Analytics shifted the operation from reactive to predictive maintenance.
Fragmented data across multiple systems made fast, data-driven decisions impossible. In-Sight unified 40+ sources into a single operational view.
We do not sell software licenses and walk away. Every In-Sight Analytics deployment is a hands-on engagement — we get in the plant, understand your data, and build a system that actually works in your environment.
Start the ConversationWe map your existing data sources, protocols, and infrastructure. We identify what data is available, what's missing, and what's most valuable to collect.
Our engineers build the data ingestion pipelines, connect to your OT and IT systems, and establish a clean, reliable data flow into the platform.
AI models are trained on your historical data. Dashboards are designed with your operational teams to ensure every view reflects how your people actually work.
We deploy, validate on-site, train your teams, and stay engaged post-launch — monitoring model performance, retraining as needed, and evolving the platform with your business.
Real-time computer vision for industrial defect detection, blockage monitoring, and process deviation alerting — with sub-second PLC integration.
Modular power management system with real-time energy dashboards, carbon reporting, fault detection, and ModBus / IoT integration.
One integrated enterprise platform — 30+ modular apps for BPM, ERP, and CRM without writing a line of code.
Book a demo. We'll walk you through a live deployment relevant to your industry and show you exactly how In-Sight Analytics would work for your operation.