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Technology

Built for Monetization, Not Experiments

Most operational KPIs are lagging indicators.

This platform identifies problems before KPIs degrade.

Core Capabilities

Enterprise-grade analytics built for operational excellence

Multivariate anomaly detection

Detect complex patterns across multiple sensor streams simultaneously

Bottleneck identification

Automatically pinpoint operational constraints limiting performance

Root cause analysis

Trace issues back to their origin with intelligent correlation

KPI-linked insights

Every alert and recommendation maps to measurable business outcomes

On-prem / edge deployment

Deploy where your data lives, not where vendors prefer

Analytical to operational insights

Translate raw data patterns into clear, actionable steps your operations team can execute immediately

Why IoTGPT

How IoTGPT compares to other AI approaches

Criteria
Machine Learning based
Agent Solution
IoTGPT
Security

Often cloud-dependent

Data leaves facility

100% on-prem Zero data exposure

Cost of a single analysis (1 year data)

High model dev & maintenance

~$45K Not feasible at scale — context window limits block real-time data

Fixed licence + token cost of cents

Level of Insights

Pattern detection only

Context-aware responses

Root cause + financial KPIs

Explainability

Black-box alerts

Some natural language

Step-by-step recommendations

Bias & Hallucination

Bias from training data

Hallucination risk

Grounded in real sensor data

User Skill Level

Data scientist required

Prompt engineering skills

Operations-friendly No AI expertise needed

Developer Skill Level

ML engineers + DevOps

AI/LLM integration expertise

Standard integration Fast deployment

Trust & Deployment

Security and data sovereignty are not afterthoughts. They're fundamental to how we architect every deployment.

Data never leaves the customer environment
Works with existing sensors and systems
Designed for large-scale operational data