Bolna AI vs Bolti: Which Voice Agent Fits Your Stack?

Bolti is a voice AI platform for building production-ready conversational phone agents — starting at ₹7/min pay-as-you-go, with a free 50-minute trial. If you're weighing Bolna AI vs Bolti, this breakdown covers the differences that actually matter: telephony control, language support, enterprise readiness, and pricing.

What Is the Core Difference Between Bolna AI and Bolti?

Both platforms let you build AI voice agents for phone calls. The key differences sit in deployment flexibility, Indian-language depth, and enterprise controls. Bolti is built specifically for production telephony — sub-second turn-taking, real interruption handling, and telephony-grade noise cancellation — while Bolna AI is a developer-focused open-source framework that requires more self-assembly.

How Do They Compare on Telephony and Infrastructure?

Telephony is where the stacks diverge most sharply.

Bolti:

• BYOC (Bring Your Own Carrier): connect your existing Twilio, Plivo, or Exotel SIP trunk, or use Bolti numbers directly
• Sub-second latency end-to-end, tuned for PSTN call quality
• Telephony-grade noise cancellation baked into the realtime audio path
• Realtime audio is encrypted end-to-end between the SIP carrier and agent runtime
• Call audio is never written to disk outside the dedicated recording pipeline

Bolna AI:

• Open-source Python framework; you wire up your own telephony provider
• More DIY: you manage hosting, scaling, and carrier integrations yourself
• No managed cloud option — you run everything

If your team has the DevOps bandwidth to self-host, Bolna gives you maximum code-level control. If you want a production system running within hours — not weeks — Bolti's managed cloud is the faster path.

Which Platform Supports More Languages?

Bolti supports 80+ languages, with a specific focus on Indian regional languages. The STT layer includes Fennec, a provider optimized for Hindi, Tamil, Telugu, Marathi, Bengali, Gujarati, and other Indian accents — something generic STT providers handle poorly.

Supported STT providers on Bolti include:

• Deepgram — strong default for English and major world languages
• Fennec — optimized for Indian languages and accents
• Azure — wide language coverage with enterprise compliance
• ElevenLabs — modern multilingual STT
• AssemblyAI and Cartesia — conversational English focus

You pick providers per agent, not platform-wide. So a Hindi outbound sales agent and an English support agent in the same workspace can use different STT/TTS stacks.

Bolna AI also supports multilingual setups, but provider selection is manual configuration in code — there's no dashboard-level per-agent provider management.

How Do They Handle Enterprise Requirements?

Enterprise readiness is one of Bolti's clearest advantages for mid-market and regulated industries.

Bolti enterprise features:

• On-premises deployment — the full stack (API backend, realtime telephony, dashboards) runs in your own infrastructure via Docker Compose or Kubernetes
• PII redaction at runtime — masks sensitive data before it reaches the LLM, reducing third-party exposure
• SSO via OIDC/SAML
• Sub-accounts and white-label for agencies or multi-tenant setups
• DPDP/GDPR/HIPAA-aligned contracts
• Workspace-scoped transcripts — other workspaces in the same org can't read your call data
• Audit logs for database access by Bolti's operations team

Bolna AI, being open-source, gives you infrastructure control by default — but you own the compliance posture entirely. There's no managed enterprise contract, no built-in PII redaction pipeline, and no SSO layer out of the box.

For healthcare, BFSI, or government use cases in India — where DPDP compliance is increasingly non-negotiable — Bolti's enterprise tier removes a significant compliance burden.

What About Use Cases and Built-In Workflows?

Bolti ships purpose-built modules for common business workflows, not just a generic agent builder.

Ready-to-use Bolti workflows include:

• HR screening — upload candidate CVs, attach a JD, and Bolti calls each candidate with a structured phone screen; results populate a candidates table automatically
• Outbound sales — dial lists with configurable pacing and call disposition tracking
• Appointment booking — inbound or outbound scheduling with calendar integration
• Payment reminders — automated outbound nudges with live agent handoff
• After-hours helpdesk — 24/7 inbound support without staffing costs

Bolna AI provides building blocks; you assemble the workflow yourself. That's fine for teams with engineering capacity, but it adds weeks to deployment for ops teams without developer support.

You can explore Bolti's use cases to see how each workflow is structured.

Pricing: What Does Each Platform Actually Cost?

This is where Bolti's model is unusually transparent.

	Bolti	Bolna AI
Pricing model	₹7/min pay-as-you-go	Self-hosted (infra costs vary)
Free tier	50 minutes free trial	Open-source, no usage cost
Managed cloud	Yes	No
Enterprise contract	Yes	No

Bolna's open-source model looks free on the surface, but factor in: server costs, engineering time to integrate telephony, maintain the stack, and handle compliance. For a team running 10,000 minutes/month, Bolti at ₹7/min is ₹70,000 — often less than one engineer's monthly cost to maintain a self-hosted alternative.

See the full breakdown on Bolti's pricing page.

API and Developer Experience

Both platforms offer API access, but the models differ.

Bolti:

• Every dashboard action is also a REST API call — no separate SDK required
• Native MCP server for Cursor and Claude Desktop
• Open API means you can trigger calls, manage agents, and pull transcripts programmatically
• Sub-accounts via API for white-label or multi-client setups

Bolna AI:

• Python-first API; good for teams already in a Python stack
• More low-level control over agent logic
• No managed dashboard — all configuration is in code

If your team uses Cursor or Claude Desktop for development, Bolti's native MCP server integration is a genuine workflow advantage.

Set Up Your First Voice Agent with Bolti

If you've been running Bolna AI in production and hitting scaling or compliance walls, Bolti is worth a direct test. You get 50 free minutes to run real calls — enough to validate a full outbound sequence or inbound support flow. After that, it's ₹7/min with no monthly minimums. Start your free 50-minute trial and have your first agent live before end of day.

Frequently Asked Questions

What is the main difference between Bolna AI and Bolti?

Bolna AI is an open-source Python framework where you self-host and wire up your own telephony. Bolti is a managed voice AI platform with built-in telephony (including BYOC support for Twilio, Plivo, Exotel), a dashboard, and enterprise features like PII redaction and on-premises deployment. Bolti is faster to deploy; Bolna gives more low-level code control.

Does Bolti support Indian languages better than Bolna AI?

Bolti includes Fennec as a supported STT provider, which is specifically optimized for Indian languages and accents including Hindi, Tamil, Telugu, Marathi, Bengali, and Gujarati. It also supports 80+ global languages. You can assign different STT providers per agent, so Indian-language agents use Fennec while English agents use Deepgram or another provider.

How much does Bolti cost compared to Bolna AI?

Bolti charges ₹7/min on a pay-as-you-go basis with a free 50-minute trial. Bolna AI is open-source with no per-minute fee, but you pay for your own server infrastructure, engineering time to maintain the stack, and any telephony provider costs. For most teams running thousands of minutes per month, the total cost of ownership is comparable or lower with Bolti.

Can Bolti be deployed on-premises like a self-hosted Bolna setup?

Yes. Bolti supports full on-premises deployment via Docker Compose or Kubernetes. The entire stack — API backend, realtime telephony, dashboards, and observability — runs inside your own infrastructure. On-prem is available as part of an enterprise contract.

Which platform is better for HR screening or outbound sales?

Bolti has purpose-built modules for HR screening (upload CVs, attach a JD, auto-call candidates) and outbound sales with configurable dial lists. Bolna AI requires you to build these workflows from scratch. If you need a production-ready workflow running quickly without engineering overhead, Bolti's built-in modules are faster to deploy.