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Havells brings agentic AI voice control to 2.67 million mobile app users
Havells introduced an AI voice feature for its mobile app. This new system allows users to control connected appliances using natural speech. The feature supports English and seven Indian languages for broader accessibility. It interprets user intent and handles code-mixed speech effectively. Havells plans further expansion to more languages and appliances. Havells on Friday announced that it has launched an agentic AI voice feature on its Havells One app that lets users control connected appliances using natural speech in English and seven Indian languages. The feature, built by Havells' Center for Research & Innovation (CRI), is available to all 2.67 million users of the Havells One mobile app. It uses ElevenLabs' streaming speech-to-text and text-to-speech models as the voice interface layer, integrated with Havells' conversational intelligence and device-control agents. The feature supports Hindi, Tamil, Telugu, Bengali, Kannada, Gujarati and Malayalam, alongside English. Unlike Havells' earlier voice-control experience, which supported English and Hindi on select appliances and required users to use specific commands, the new system is designed to interpret intent and handle natural and code-mixed speech. For instance, a user could ask the system to "make the room comfortable", prompting it to coordinate multiple connected devices such as an air conditioner, air purifier, fan and lights rather than requiring separate commands for each appliance. The system can also execute requests across devices using different connectivity protocols, retain context across multiple interactions and ask users for clarification when a command is ambiguous. It can also explain device error codes in plain language. The voice interface currently works across a range of connected Havells products, including fans, air purifiers, water purifiers and water heaters, as well as Lloyd air conditioners and washing machines, Crabtree smart switches and upcoming smart home products. "Today, consumers just need a Havells Smart device registered in their Havells One App to use this feature," said Dipesh Shah, executive president and CTO, Havells. Shah described the feature as a daily-use AI experience that goes beyond traditional voice interfaces by allowing consumers to interact with devices without having to remember specific commands. Havells said it evaluated voice AI models on recognition accuracy, multilingual support, latency and voice synthesis before moving the solution into production in approximately six weeks. ElevenLabs' Forward Deployed Engineering team supported voice quality and regional language pronunciation tuning. "People have always had to learn the interface of communicating: the commands, the syntax, the order they come in," said Karthik Rajaram, general manager and country head, India, ElevenLabs. The company said the challenge is particularly relevant in India, where households often switch between multiple languages in everyday conversations. Havells plans to expand the feature to more Indian languages and bring additional appliances onto the platform. It also plans to add deeper personalisation for individual household members and extend the voice interface beyond device control to product FAQs, troubleshooting and scheduling.
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Havells brings multilingual Agentic AI Voice to its connected home ecosystem, with ElevenLabs
The Agentic AI Voice feature in the Havells One app supports eight languages across multiple product categories and is live across 2.7M users. Today, Havells has launched the Agentic AI Voice feature, a conversational interface in the Havells One app that lets users control connected appliances by speaking naturally in English and seven Indian languages. This solution is built by the Havells Center for Research & Innovation (CRI), using ElevenLabs' streaming Speech-to-Text and Text-to-Speech models as the voice interface layer, integrated with Havells' own conversational intelligence and device-control agents. The feature is live for all 2.67 million Havells One mobile app users. The feature supports Hindi, Tamil, Telugu, Bengali, Kannada, Gujarati, and Malayalam alongside English. And the journey doesn't stop here -- we aim to go further, expanding support to additional Indian languages in the future. Users can speak naturally in their preferred language to the agent, and instruct it to control appliances, rooms, scenes, and coordinated actions across connected devices It covers a broad range of Havells devices including, fans, air purifiers, water purifiers, and water heaters, Lloyd air conditioners and washing machines, Crabtree smart switches and upcoming smart home products. Havells' earlier voice experience was command-driven and covered English and Hindi on selected appliances, requiring users to remember specific phrases for appliances to respond. The Agentic AI Voice feature interprets intent rather than fixed syntax, including the code-mixed speech common in Indian households. A single request such as "make the room comfortable" orchestrates the air conditioner, air purifier, fan, and lights together, and requests spanning multiple devices are executed across different connectivity protocols at once. The agent's memory retains context across turns, asks for clarification when a command is ambiguous, and can explain device error codes in plain spoken language. Havells evaluated voice AI models on recognition accuracy, multilingual support, latency, and voice synthesis. The Havells CRI team successfully moved the solution into production within approximately six weeks, with support from ElevenLabs' Forward Deployed Engineering team on voice quality and regional language pronunciation tuning. "This Agentic AI Voice capability is a breakthrough for our customers, allowing them to control and interact with their devices naturally, without having to remember commands or learn rules. Its potential is limitless and will continue to expand as new capabilities are added across our devices and services. As a daily-use AI experience, it showcases the transformative potential of AI agents, far beyond the traditional voice interfaces of the past. Consumers just need a Havells Smart device registered in their Havells One App to use this feature." Dipesh Shah, Executive President and CTO , Havells "People have always had to learn the interface of communicating: the commands, the syntax, the order they come in. That is hardest in India, where a household does not speak one language and often moves between three in a single sentence. Powered by ElevenLabs', Havells now runs seven Indian languages alongside English across an appliance range, so the person no longer has to meet the technology halfway. They say what they want to the agent, in the language they were already thinking in, and the devices respond." Karthik Rajaram, General Manager and Country Head, India, ElevenLabs Havells has outlined further expansion of the feature including wider Indian language coverage, deeper personalization for individual household members, bringing additional appliances onto the voice platform, and extending voice beyond device control into product FAQs, troubleshooting, and scheduling.
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Havells introduced an agentic AI voice feature on its Havells One app, enabling 2.67 million users to control connected appliances using natural speech in English and seven Indian languages. Built by Havells' Center for Research & Innovation with ElevenLabs' voice models, the system interprets intent and handles code-mixed speech across fans, air purifiers, water heaters, Lloyd air conditioners, and Crabtree smart switches.

Havells has launched an agentic AI voice feature on its Havells One app, rolling out the capability to all 2.67 million users
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. This AI voice control feature marks a significant shift from traditional command-based interfaces to natural speech interaction, allowing users to control connected appliances without memorizing specific phrases. Built by the Havells Center for Research & Innovation, the system integrates ElevenLabs' streaming speech-to-text and text-to-speech models with Havells' own conversational intelligence and device-control agents1
. The multilingual agentic AI voice supports eight languages—English, Hindi, Tamil, Telugu, Bengali, Kannada, Gujarati, and Malayalam—addressing India's linguistically diverse households where families often switch between multiple Indian languages mid-conversation2
.Unlike Havells' earlier voice-control experience, which supported only English and Hindi on select appliances and required users to remember specific commands, the new agentic AI voice feature interprets intent rather than fixed syntax
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. The system handles code-mixed speech—a common pattern in Indian households where people blend languages within single sentences. Users can now issue requests like "make the room comfortable," prompting the system to coordinate multiple connected devices including air conditioners, air purifiers, fans, and lights simultaneously2
. This orchestration capability executes commands across devices using different connectivity protocols at once, while the agent's memory retains context across multiple interactions2
. When commands are ambiguous, the system asks for clarification and can explain device error codes in plain spoken language1
.The AI-driven smart home technology currently works across a range of connected Havells products including fans, air purifiers, water purifiers, and water heaters, as well as Lloyd air conditioners and washing machines, Crabtree smart switches, and upcoming smart home products
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. "Today, consumers just need a Havells Smart device registered in their Havells One App to use this feature," said Dipesh Shah, Executive President and CTO at Havells1
. Havells evaluated voice AI models on recognition accuracy, multilingual support, latency, and voice synthesis before moving the solution into production in approximately six weeks, with support from ElevenLabs' Forward Deployed Engineering team on voice quality and regional language pronunciation tuning1
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This deployment matters because it addresses a fundamental barrier to smart home adoption in multilingual markets. "People have always had to learn the interface of communicating: the commands, the syntax, the order they come in. That is hardest in India, where a household does not speak one language and often moves between three in a single sentence," said Karthik Rajaram, General Manager and Country Head for India at ElevenLabs
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. By removing the need for users to meet technology halfway, Havells positions natural speech as the primary interface for its connected home ecosystem. Shah described the feature as "a daily-use AI experience that goes beyond traditional voice interfaces by allowing consumers to interact with devices without having to remember specific commands"1
. Watch for how this affects user engagement metrics and whether competitors follow with similar multilingual approaches.Havells plans to expand the feature to more Indian languages and bring additional appliances onto the platform
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. The company also outlined plans for deeper personalization for individual household members and extending the voice interface beyond device control to product FAQs, troubleshooting, and scheduling1
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. This roadmap suggests Havells sees conversational AI as central to its smart home strategy rather than a supplementary feature. The move from device control to customer support and scheduling could reduce friction across the entire product lifecycle. As voice interfaces become more capable at understanding intent and context, expect Havells to use this data to inform product development and identify common user pain points that haven't been addressed through traditional feedback channels.Summarized by
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