
Gaziabad, India
2025
Customer Service, Sales, Telecommunications, Marketing, Retail, Automotive, Real Estate, Hospitality
Vomyra is an AI software company that provides a voice AI agent platform for automating business phone conversations and related workflows. Its platform combines conversational artificial intelligence, real-time speech models, telephony, voice cloning, and business integrations to create AI agents capable of making and receiving calls. Vomyra focuses particularly on multilingual voice automation, including support for Indian languages and phone numbers, while also providing APIs and tools for developers building voice-enabled applications.
Vomyra enables organizations to create and operate AI agents that conduct phone conversations for sales, support, lead qualification, follow-ups, appointment-related workflows, collections, and other business processes. Its agents can research prospects, initiate calls, qualify leads, perform follow-ups, and interact with connected business systems during conversations.
Businesses can connect the platform with CRM systems, calendars, Google Sheets, payment services, advertising lead sources, and external APIs. Vomyra also supports large-scale outbound calling and provides Indian mobile numbers, SIP connectivity, APIs, and an MCP server for controlling voice campaigns through compatible AI assistants.
Vomyra operates as a voice AI orchestration platform, coordinating the components required for an AI agent to hold a real-time telephone conversation. The platform integrates speech-to-speech models, language models, telephony infrastructure, voice generation, and business software rather than requiring customers to assemble those components independently.
Its supported voice technologies include AWS Nova 2 Sonic, OpenAI GPT Realtime, Azure Voice Live, Cartesia, and ElevenLabs. Language-model options include GPT, Claude, Groq, Mistral, Llama, and Vomyra’s own model, according to the company. Customers can select different models for different applications through the platform.
Another capability is voice cloning. Through its Cartesia integration, a voice can be created from a short recording and assigned to an AI agent or campaign. Vomyra also connects agents to telephony through managed numbers or SIP providers and enables mid-call actions involving CRMs, calendars, Google Sheets, payment systems, and REST APIs.
Vomyra represents the shift from conventional automated phone systems toward AI agents that can participate in real-time business conversations and take actions while a call is underway. Rather than treating speech generation, language models, telephony, and enterprise integrations as separate components, its platform brings these technologies together into an operational voice-agent stack.
Its emphasis on multilingual and regional voice AI, particularly Indian phone infrastructure and languages such as Hindi and Hinglish, also illustrates how conversational AI is becoming more localized. The platform is relevant to the broader development of agentic AI because its agents can connect conversations with workflows such as lead research, CRM updates, scheduling, follow-up, and payments.
Vomyra’s core platform provides the infrastructure for building and operating AI voice agents for inbound and outbound calls. It combines speech and language models, telephony, integrations, call management, and workflow actions within a single environment. Organizations can configure agents through the platform while developers can integrate its capabilities through a REST API.
Vomyra provides a suite of specialized agents designed to cover different stages of sales activity, including research, outreach, qualification, closing, follow-up, and quotation. The agents can operate as a connected workflow rather than as isolated calling bots.
The Research Agent gathers information about a prospect before outreach. It can use sources such as websites, LinkedIn information, CRM history, Meta Ads submissions, IndiaMART inquiries, and Apollo data to produce prospect context for subsequent sales interactions.
The Outreach Agent handles automated outbound voice conversations with leads. Vomyra says it can respond to new leads shortly after they enter connected systems and conduct conversations across Hindi, English, Hinglish, and other supported languages.
Vomyra’s technology is used primarily for automating high-volume business conversations. Applications include sales outreach, lead qualification, follow-up calls, customer reactivation, appointment workflows, collections, customer support, and campaigns involving large contact databases.
The company describes deployments across education and professional training, retail, real estate, and other business environments. Its startup program additionally identifies applications in EdTech, healthcare, financial services, hospitality, logistics, CRM platforms, and SaaS products. Because agents can connect calls with CRM updates, calendars, WhatsApp workflows, payments, and external APIs, voice conversations can become part of broader automated business processes rather than remaining standalone calls.
Vomyra integrates several real-time voice technologies, including AWS Nova 2 Sonic, OpenAI GPT Realtime, Azure Voice Live, Cartesia, and ElevenLabs. The platform is designed so organizations can choose among supported models without separately assembling each voice provider and telephony component.
Yes. Vomyra provides managed Indian mobile numbers for AI agents and also supports bringing existing telephony infrastructure through SIP connectivity.
Vomyra supports multilingual voice agents, with particular emphasis on Indian and South Asian language use cases. Its website lists Hindi, Hinglish, Tamil, Telugu, Bengali, Marathi, and numerous additional languages.
Yes. Vomyra provides a REST API for functions including creating assistants, assigning tools and numbers, retrieving calls and transcripts, and accessing voice and model catalogs. It also provides an MCP server for connecting its voice-agent capabilities with compatible AI applications.
Yes. The platform supports mid-call actions involving systems such as CRMs, calendars, Google Sheets, payment services, and REST APIs. This allows an agent to do more than conduct a conversation—for example, it can connect the call to an operational workflow.
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