Bolna AI Pricing vs Bolti: Which Voice AI Costs Less?

Bolti, a voice AI platform for building production-ready conversational phone agents, costs a transparent ₹6/min on a pay-as-you-go basis and offers a 50-minute free trial. If you are researching bolna ai pricing to see which voice AI platform costs less, this guide compares the transparent rates of Bolti against the unlisted, sales-driven pricing model of Bolna AI and other alternatives like Ringg AI.

What is the actual Bolna AI pricing structure?

Bolna AI does not publish its pricing plans publicly, requiring businesses to book a sales discovery call to get a custom quote. This opaque model contrasts with Bolti's transparent rate of ₹6/min pay-as-you-go, where you pay only for active call time with no setup fees or hidden platform commitments.

For developers and growing SMBs in India, unlisted pricing creates friction. It forces your team into lengthy sales cycles and discovery calls just to get a basic estimate of your operational costs. With Bolti, you can calculate your exact budget before writing a single line of code or making your first test call. Competitors like Ringg AI also use sales-gated models for custom setups, making it difficult to estimate costs for high-volume outbound collections or customer support campaigns in cities like Bangalore, Mumbai, or Delhi.

How does Bolti’s ₹6/min pricing model work?

Bolti charges a flat ₹6 per minute of active call time for the platform and telephony layer. Because Bolti allows you to bring your own API keys for LLM, STT, and TTS providers, your total cost is highly customizable and scales directly with your choice of technology stack.

Here is a concrete cost breakdown for running 10,000 minutes of outbound calls (e.g., for a customer support desk in Mumbai or Bangalore):

• Bolti Platform Fee: 10,000 minutes × ₹6 = ₹60,000
• STT (Speech-to-Text): Deepgram or Fennec (optimized for Indian accents) ≈ ₹3,600
• LLM (Large Language Model): Open-source models like DeepSeek-V3 or Llama-3 via Baseten ≈ ₹1,500
• TTS (Text-to-Speech): ElevenLabs or Azure Neural TTS ≈ ₹4,000
• Total Estimated Cost: ~₹69,100 (under ₹7 per minute all-inclusive)

By using open-source models via Baseten, you can cut LLM costs by 5x to 10x compared to closed-source alternatives, making high-volume campaigns highly cost-effective.

How do Bolna AI and Bolti compare on key features?

While Bolna AI provides a basic no-code interface for simple voice flows, Bolti is built for production-grade, high-volume operations. Bolti offers advanced developer tools, native Indian language support, sub-second latency, and enterprise-grade security features that are missing or restricted on Bolna AI.

Feature	Bolna AI	Bolti
Pricing Transparency	Not publicly listed (Sales-only)	₹6/min pay-as-you-go
Free Trial	Limited/Sales-gated	50 free minutes
Indian Languages	Basic support	80+ languages (Hindi, Marathi, Tamil, Telugu, Bengali, Gujarati)
BYOC (SIP Trunking)	Limited	Full (Twilio, Plivo, Exotel)
Batch Calling Campaigns	Basic	Advanced (Bulk/Recurring with cron scheduling)
Webhooks & API	Partial	Complete REST API + HMAC-SHA256 signed webhooks
PII Data Protection	None/Unclear	Enterprise-grade runtime masking & private storage
HR Screening Module	No	Built-in (CV parsing, role-based custom questions)

What advanced enterprise features does Bolti offer?

Bolti provides robust enterprise capabilities including runtime PII redaction, private object storage for call recordings, and custom webhooks. These features allow compliance-sensitive industries like BFSI and healthcare in India to deploy voice AI agents securely under DPDP and GDPR frameworks.

• PII Data Protection: Bolti prevents sensitive data (names, phone numbers, account IDs) from leaking to third-party LLM providers by masking PII before it reaches the LLM. Call recordings live in private, encrypted object storage accessible only via time-limited signed URLs.
• Batch Calling & Campaigns: Run bulk or recurring outbound campaigns (e.g., payment reminders or daily standups) scheduled via cron in the Asia/Kolkata timezone.
• HMAC-SHA256 Signed Webhooks: Subscribe to events like conversation.completed or campaign.completed to instantly update your CRM or trigger downstream workflows.
• HR Screening Agent: Set up automated recruitment funnels. Go to Agents → HR Screening in the dashboard, create a role, upload candidate CVs, and let the agent conduct structured phone screens using custom questions and template variables like {{ candidate_name }} and {{ jd_text }}. Learn more about how businesses use this in our real-world case studies.

How does Bolti handle high-volume batch calling campaigns?

Bolti handles high-volume batch calling through a dedicated scheduler and dispatcher pipeline that automates bulk and recurring campaigns. Unlike Bolna AI's basic call triggers, Bolti's campaign engine manages pacing, retries, and rate limits natively from the dashboard or API.

You can configure two types of campaigns within the Bolti dashboard:

• Recurring Campaigns: Fire the same call on a cron schedule (e.g., a daily standup reminder to a team line at 9:00 IST on weekdays or weekly payment reminders).
• Bulk Campaigns: Dial a list of thousands of contacts once at a controlled rate (e.g., Q3 follow-ups or feedback collection).

The singleton scheduler wakes every 30 seconds to materialize the next hour's worth of concrete calls into the queue. A pool of dispatchers pulls them off the queue at scheduled_at and dials them, respecting per-workspace and per-DID rate limits. Outcomes are emitted as HMAC-SHA256-signed webhooks to your system.

How does Bolti secure sensitive call data and transcripts?

Bolti secures sensitive call data by encrypting recordings in private object storage, scoping transcripts to specific workspaces, and masking PII before it reaches third-party LLM providers. This ensures your customer data remains protected under India's DPDP Act and international GDPR frameworks.

When deploying voice AI for financial services or healthcare in India, data security is paramount. Bolti protects your data across three main vectors:

• Private Recording Storage: Recordings live in private object storage. The bucket is not publicly readable; audio can only be accessed via a time-limited signed URL generated after a permission check.
• Workspace-Scoped Transcripts: Transcripts and call records are workspace-scoped. Even other workspaces in the same organization cannot read them. A workspace Viewer role is the minimum requirement to see a transcript.
• In-Flight Encryption: The realtime audio path is encrypted end-to-end between the realtime audio service, the SIP carrier (like Twilio, Plivo, or Exotel), and the agent runtime. Call audio is never written to disk outside of the dedicated recording pipeline.

Try Bolti for your business today

Spin up your first production-grade voice AI agent in under 10 minutes with Bolti's transparent ₹6/min pay-as-you-go pricing. You can test sub-second latency and advanced interruption handling immediately with our free 50-minute trial. Sign up for your free trial today and start building multilingual phone agents for support, sales, or automated HR screening.

Frequently Asked Questions

What is the main difference between Bolna AI pricing and Bolti?

Bolna AI does not publish its pricing and requires a sales call for a custom quote. Bolti offers transparent, pay-as-you-go pricing at ₹6/min for the platform, with a 50-minute free trial and no setup fees.

Can I bring my own SIP trunk to Bolti?

Yes. Bolti supports Bring Your Own Carrier (BYOC), allowing you to connect your existing SIP trunks from providers like Twilio, Plivo, or Exotel directly to your voice agents.

How does Bolti protect customer PII during calls?

Bolti masks personally identifiable information (PII) before it reaches third-party LLM providers. It also encrypts call recordings in private object storage, accessible only via time-limited signed URLs.

Does Bolti support Indian regional languages?

Yes, Bolti supports over 80 global languages, including native Indian languages like Hindi, Marathi, Tamil, Telugu, Bengali, and Gujarati with sub-second latency.