AvaritCall
Freemium
Turkish-language call centers
Building voice agents for Indian markets means your English-first tooling breaks the moment a caller switches mid-sentence to Hindi — or never speaks English at all. Bolna is a voice agent platform built around that exact problem, with native support for 10+ Indian languages including Hinglish.
Bolna handles the full call lifecycle — inbound routing, outbound campaigns, mid-conversation API calls, and escalation to a human agent — without requiring you to stitch together separate ASR, LLM, and TTS vendors. The vendor states 300ms response latency and the ability to run thousands of simultaneous calls, which is the threshold where most voice platforms start queuing. No self-hosted option exists, so every call transits Bolna's infrastructure; teams with strict on-premises data requirements will hit that wall before they reach production. The no-code Agent Studio covers templated use cases fast, but teams needing complex branching logic beyond the prebuilt agent templates report reaching for the API layer quickly.
Bottom line: Pick Bolna when you need outbound vernacular calling campaigns running at volume inside India within days — but if your compliance team requires on-premises deployment, there is no path forward without switching platforms.
Flexible credits, top-up anytime. Perfect for AdHoc use cases. Purchase credits from $10 to $5000. No commitment.
Fixed volume-based per minute pricing. Two tiers available: $500 for 12,000 minutes (~4.2u00a2/min) or $300 for 6,500 minutes (~4.6u00a2/min). Maximum Concurrency of 25. One month of dedicated support.
Custom scalable plans for large organisations. Best-in-class pricing at committed volumes.
View full pricing on bolna.ai →
Pricing may have changed since last verified. Check the official site for current plans.
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More options in Chatbot Builders. Compare pricing, platforms, and features side by side.
Freemium
Turkish-language call centers
Paid
Small businesses using WhatsApp for sales
Bolna builds autonomous voice agents that handle complete inbound and outbound calls in Indian languages, including Hindi, Tamil, Telugu, and Hinglish. The core workflow runs through Agent Studio: connect an account, configure an agent from a template or from scratch, then trigger calls via the dashboard or the REST API. Agents can query external systems mid-call through custom API triggers, transfer to a human agent when the conversation exceeds their scope, and push call outcomes into downstream tools via n8n, Make.com, or Zapier integrations.
The differentiating capability is the language stack. The vendor states support for 20+ ASR, LLM, and TTS models that can be swapped per call, which means you can route a Tamil-speaking caller through a model tuned for Tamil acoustics while running English calls through a different stack entirely. That model-switching layer is what separates Bolna from generic voice agent platforms that treat Indian language support as a footnote.
Bolna fits teams running call center automation at scale — cart abandonment recovery, COD confirmations, recruitment screening — where the volume justifies an AI-first stack and the audience is predominantly vernacular. It breaks for teams that need on-premises deployment: the vendor offers India- and USA-specific data residency but no self-hosted option, so regulated industries like certain BFSI segments will find the data residency clause insufficient. Complex multi-step conditional branching beyond the prebuilt templates requires dropping into the API layer, at which point teams are maintaining agent logic in two places.
The API surface is documented with Python, JavaScript, and cURL examples. A call is triggered by POSTing an agent ID, recipient number, originating number, and an optional user_data payload of key-value variables — making it straightforward to inject CRM data into the call context at trigger time. Bulk campaign execution is a platform-level feature rather than something you build from individual API calls.
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