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Language Understanding (LUIS)

A natural language understanding (NLU) AI service that allows users to interact with your applications, bots and IoT devices by using natural language.

Add custom natural language understanding to your apps

Build applications that can understand natural language. Using machine teaching technology and our visual user interface, developers and subject matter experts can build custom machine-learned language models that interpret user goals and extract key information from conversational phrases – all without any machine learning experience.

Create custom language models specific to your use case with developer tools and a portal experience to simplify labelling

Build NLU models with no machine learning experience required

Run Language Understanding (LUIS) anywhere – in the cloud, on-premises and at the edge with containers

Rely on enterprise-grade security and privacy applied to both your data and any trained models

Quickly build a custom language solution

Machine teaching technology enables you to get started without labelled data and to train models interactively to accelerate your development. We provide pre-built entities, features and applications to jump-start your project.

Read this guide on getting started

Intuitively teach language models

Teach language models like you would teach a person using machine teaching techniques. No machine learning expertise is needed. The simple, iterative process and visual interface make it simpler than ever before.

Learn more about machine teaching

Always learning and improving

Language Understanding (LUIS) enables developers to seamlessly improve language models over time based on real traffic.

Learn more about active learning

Build a comprehensive natural language understanding solution

Integrate seamlessly with Azure Cognitive Services, such as Text Analytics and Speech Services, as well as Azure Bot Services for an end-to-end conversational solution.

Add language understanding to your bot

Enterprise-ready, available worldwide

Language Understanding (LUIS) scales to meet enterprise quality and performance needs, and meets international compliance standards including ISO, HIPAA, SOC and FedRAMP.

See Language Understanding (LUIS) in action

Smart light application in action

LUIS application response

Explore Language Understanding (LUIS) scenarios

Build an enterprise-grade conversational bot

This reference architecture describes how to build an enterprise-grade conversational bot (chatbot) using the Azure Bot Services framework.

Commerce Chatbot

Together, Azure Bot Services and Language Understanding (LUIS) enable developers to create conversational interfaces for various scenarios such as banking, travel and entertainment.

Controlling IoT devices using a voice assistant

Create seamless conversational interfaces that understand natural language with all your internet-accessible devices – from your connected television or fridge to devices in a connected power plant.

Industry-leading security for the enterprise

Get the power, control and customisation you need with flexible pricing

Only pay for what you use, with no upfront costs. With Language Understanding (LUIS), pay as you go based on the number of transactions.

Documentation and resources

Explore code samples

Sample code

See customisation resources

Build natural language processing into apps, bots and IoT devices with the LUIS portal.

See how trusted companies are applying Language Understanding (LUIS) models

Telefónica delivers an NLU- and AI-powered digital assistant

Telefónica builds a digital assistant based on a natural language bot to engage with customers on a new level.

Telefonica

KPMG saves clients millions in compliance costs

KPMG uses Language Understanding in its Customer Risk Analytics solution to distil information and flag compliance risk.

KPMG

Jet.com finds answers faster for its customers

Jet.com uses Cognitive Services to infuse its customer care chatbot with the intelligence to communicate using natural language.

Jet.com

LaLiga boosts engagement with its own virtual assistant

"It's the easiest and most natural way for humans to interact, so we wanted to give our fans that option. They don't need to navigate through an app to find information, they just ask a question in plain language."

Alfredo Bermejo, Digital Strategy Director at LaLiga
LaLiga

Progressive extends Flo to better serve customers

"By using Microsoft Azure Bot Services and Cognitive Services… we've been able to continue our own Progressive journey of digital innovation and do it in an agile, fast, and cost-effective way."

Matt White, Marketing Manager, Personal Lines Acquisition Experience at Progressive Insurance
Progressive

Accenture onboards new joiners with an enterprise bot

"We're seeing great power in the solution we've developed with Bot Framework and Language Understanding. It's a huge 'aha' moment for us and for our HR leadership."

Chellappan Murugappan, Senior Architect at Accenture
Accenture

Frequently asked questions about Language Understanding (LUIS)

  • Azure Cognitive Services, including Language Understanding, guarantee 99.9-per cent availability. Learn more about the SLA.
  • Yes. As Language Understanding is designed to be customised for your scenario, you need to provide the data to train your model.
  • It’s both. Use the site to access a graphical interface for training models, and, once you’ve published your model, you make calls to the service for predictions. In addition, you can use the SDK to train models.

Ready when you are – let’s get started

Get started today