Familiarize yourself with the core terminology used throughout the NEQTO.ai platform — concepts that underpin how it processes, organizes, and intelligently manages your device data.
Internet of Things (IoT)Industry
The idea of putting all things on the internet. Devices such as phone, thermostat, motion sensor, smoke detector, etc. will all be connected and can interact with each other or can be managed.
ProtocolIndustry
A rule or standard that defines how to communicate with a device or program on the computer or internet.
Agentic AIAI Feature
AI that can act as an agent. This agent is given tasks and will perform those tasks based upon the rules defined for it.
Large Language Model (LLM)AI Feature
An engine to answer questions. There are many LLMs and each was given very large amounts of information: documents, images, web pages, etc.. These engines learned from all that information and are now able to answer questions. Some engines learned to read images and others learned how humans write.
Retrieval-Augmented Generation (RAG)AI Feature
Giving the LLM some specific information for it to use answering the question. For example. Asking how to build a house will return many answers that may not fit the need. Asking the same question and providing information on housing rules in America will give more detailed answers.
Auto-ParsingAI Feature
An AI-driven engine that instantly recognizes and formats incoming raw device data — including JSON, Hexadecimal, and proprietary formats — into structured, usable fields. Eliminates the traditional multi-day data engineering step entirely.
Multi-TenancyArchitecture
An architecture that lets you manage multiple independent teams, customers, or locations from a single master account. Each tenant’s data remains fully isolated and secure while you retain full visibility from one administrative layer.
Intelligent TaggingAI Feature
The platform’s AI automatically categorizes device data by vendor, model, location, or custom criteria. Makes large-scale fleet management manageable — filtering and searching across thousands of devices becomes effortless.
Predictive Anomaly DetectionAI Feature
Advanced AI that continuously monitors data streams 24/7, learning baseline patterns and identifying deviations that signal potential failures before they occur. Adapts to operational trends, dramatically reducing false positives.
