Language Understanding

An 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 capable of understanding natural language. Using machine teaching technology and our visual user interface, developers and subject matter experts can build custom machine-learned language models that interprets user goals and extracts key information from conversational phrases—all without any machine learning experience.

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

Build natural language processing models with no machine learning experience required

Run Language Understanding anywhere—in the cloud, on premises, and on 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 labeled data and to train models interactively to accelerate your development. We provide prebuilt entities, features, and applications to jump start your project.

Read this guide on getting started

Intuitively teach language models

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

Learn more about machine teaching

Always learning and improving

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

Learn more about active learning

Build a comprehensive natural language solution

Integrate seamlessly with Azure Cognitive Services like Text Analytics and Speech, 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 scales to meet enterprise quality and performance needs and meets international compliance standards including ISO, HIPAA, SOC, and FedRAMP.

See Language Understanding in action

Smart light application in action

LUIS application response

Explore Language Understanding scenarios

Build an enterprise-grade conversational bot

Build an enterprise-grade conversational bot

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

Commerce Chatbot

Commerce Chatbot

Together, the Azure Bot Service and Language Understanding service enable developers to create conversational interfaces for various scenarios like banking, travel, and entertainment.

Controlling IoT devices using a Voice Assistant

Controlling IoT devices using a Voice Assistant

Create seamless conversational interfaces with all of 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 customization you need with flexible pricing

Pay only for what you use, with no upfront costs. With Language Understanding, you pay as you go, based on number of transactions.

Documentation and resources

Get started

Read our documentation

Take the Microsoft Learn courses

Explore code samples

Check out our sample code

See customization resources

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

See how trusted companies are applying Language Understanding models

Telefónica delivers an AI-powered digital assistant

Telefónica builds a digital assistant based on 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 distill 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

  • Azure Cognitive Services, including Language Understanding, guarantee 99.9-percent availability. Learn more about the SLA.
  • Yes. Because Language Understanding is designed to be customized 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 publish 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