ARIA STT
Speech recognition built for real conversations. ARIA Speech-to-Text converts spoken language into text that can be processed by the conversational intelligence layer, with multilingual and Indian-language environments in mind.
Intelligent conversations across voice, chat and digital experiences. ARIA Conversational AI connects voice and digital conversations into customer journeys that can understand intent, maintain context, work across languages and connect with the business workflows behind the conversation.
Customers move between channels. Your AI should move with them. A customer may start on WhatsApp, move to a phone call, continue on a website and complete the process through an application. The context should continue with them.
Continue the conversation from wherever you left off.
We picked up where you left off. No need to repeat your details.
Check application status →Three AI capabilities work together. A conversational system needs to understand what people say, determine what they mean and respond naturally.
Speech recognition built for real conversations. ARIA Speech-to-Text converts spoken language into text that can be processed by the conversational intelligence layer, with multilingual and Indian-language environments in mind.
Understand the request, follow the context and decide what happens next. The intelligence layer can consider intent, context, business logic, workflow and whether human involvement is required.
Turn intelligence into conversation. ARIA Text-to-Speech converts responses into spoken communication for natural voice experiences and multilingual customer journeys.
Not every organization can place customer conversations into an unrestricted public environment. ARIA Conversational AI can be deployed according to the organization's infrastructure, privacy, security and data-control requirements.
The conversation changes. The intelligence stays connected. ARIA can adapt the conversation to the language, intent and workflow that matter to your business.
From the first word to the final action, ARIA is designed as an enterprise conversation layer rather than a standalone chatbot.
Support conversational experiences across Indian and international languages based on the configured implementation.
Build experiences across voice and digital channels.
Keep relevant conversation context available as the customer journey progresses.
Connect conversations with the rules and workflows defined by the organization.
Connect AI capabilities with existing enterprise applications and systems.
Move conversations to people when human judgment or assistance is required.
Support controlled deployment environments based on organizational requirements.
Connect a conversation to the action that needs to happen next.
Conversational AI should move the customer forward. A useful conversation can continue into the next business action rather than ending with an answer.
A voice bot can answer. A chatbot can respond. A conversational AI platform should be able to understand the journey behind the conversation.
Customers may communicate in Hindi, English, Tamil, Telugu, Bengali, Marathi, Gujarati, Kannada, Malayalam, Punjabi and many other languages. They may also switch languages in the middle of a sentence.
ARIA STT is positioned for 20+ Indian languages.
The conversational experience can continue when customers change languages during an interaction.
Customers can naturally combine Indian languages and English where supported by the configured language environment.
The system is designed for real customer speech rather than only clean, scripted sentences.
A conversational AI system should not independently invent your business process. Your organization defines the workflow.
Define the questions required for the workflow.
Define the data needed to move the journey forward.
Connect conversations to the relevant enterprise systems.
Apply business logic and configured requirements.
Connect the conversation to the next business action.
Define escalation and human-handoff conditions.
The AI should not create another disconnected workflow. ARIA can connect to the systems that support the customer journey through APIs and appropriate integrations.
Connect customer information and workflows.
Extend conversational AI into customer communication environments.
Move beyond rigid menu-based interactions where conversational workflows are appropriate.
Connect conversations to business systems.
Bring conversational AI directly into your digital experience.
Connect ARIA to applications, services and custom business workflows.
Some conversations should end with a human. ARIA can be designed to recognize situations that require human assistance and route the conversation to the appropriate workflow.
ARIA Telecom brings a long background in telecom and communication infrastructure into conversational AI. That foundation matters because conversational AI ultimately has to work with real communication environments, enterprise systems and workflows.
Communication infrastructure and real-world voice environments.
Speech recognition and text-to-speech capabilities.
Conversational intelligence built around language and context.
Integration with the systems businesses already depend on.
Connect conversations to defined actions and processes.
ARIA's technology journey extends from communication infrastructure into AI-powered communication. The result is a platform designed around the intersection of telecom, speech, language AI, enterprise systems and business workflows.
Communication infrastructure.
Voice and speech intelligence.
Understanding and response.
Connected business applications.
Conversation connected to action.
Straight answers about the platform, channels, languages, integration, deployment and conversational workflows.
Bring voice, chat and digital experiences together with an enterprise conversational AI platform built in India, built for India and ready for enterprise.