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

When choosing between Bolna AI and Bolti for your business, the right decision depends on whether you want a self-hosted developer framework or a production-ready managed cloud. Bolti, a voice AI platform for phone agents, offers sub-second latency, native Indian language support, and enterprise-grade security starting at just ₹6/min pay-as-you-go with a 50-minute free trial.

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?

Bolti is a fully managed, production-ready voice AI platform with built-in Indian language models, telephony integrations, and enterprise compliance out of the box. Bolna AI is an open-source Python framework that gives developers low-level code control but requires you to host, scale, and secure the infrastructure yourself.

While developers compare both platforms against alternatives like Ringg AI, Bolti is built specifically for production-grade telephony. This includes sub-second turn-taking, real interruption handling, and telephony-grade noise cancellation baked directly into the realtime audio path. Bolna AI requires significant self-assembly and DevOps resources to achieve similar reliability.

How Do They Compare on Telephony and Infrastructure?

Bolti provides a fully managed telephony stack with Bring Your Own Carrier (BYOC) support and an on-premises deployment option. Bolna AI requires you to manually write Python code to integrate SIP carriers and manage the hosting, scaling, and audio routing yourself.

Bolti Telephony and Infrastructure

• BYOC Support: Connect your existing Twilio, Plivo, or Exotel SIP trunk, or use Bolti numbers directly.
• On-Premises Deployment: Run Bolti inside your own infrastructure. A full deployment consists of three node groups running in containers: the App node (Backend API and agent worker), the Realtime node (realtime audio, SIP gateway, and recording worker), and the Observability node (metrics dashboards and log aggregators).
• Secure Storage: Call recordings live in private object storage, accessible only via time-limited signed URLs generated after permission checks.
• Zero Disk Writing: In-flight call audio is never written to disk outside of the dedicated recording pipeline.

Bolna AI Telephony and Infrastructure

• DIY Setup: You host and scale the open-source Python framework yourself.
• No Managed Carrier Integration: You must write the custom code to peer with telephony providers.
• No Native On-Prem Package: While you can run the code on your servers, you do not get pre-configured containerized node groups or managed observability out of the box.

Which Platform Supports More Languages and Voice Providers?

Bolti supports 80+ languages and lets you mix and match STT, LLM, and TTS providers per agent via the dashboard's Speech tab. Bolna AI supports multilingual setups but requires manual code configuration for every provider integration, lacking a unified dashboard for provider management.

When configuring an agent on Bolti, you can select from several supported Speech-to-Text (STT) providers:

• Fennec: Optimized specifically for Indian regional languages and accents (Hindi, Tamil, Telugu, Marathi, Bengali, Gujarati, and more).
• Deepgram: Low-latency default for English and major global languages.
• AssemblyAI: Accurate for conversational English with diarization-friendly behavior.
• Cartesia: Very low latency, English-focused.
• ElevenLabs: Modern multilingual STT that pairs with their TTS voices.
• Azure: Wide language coverage with strong enterprise compliance.

Because you choose providers per agent, your Mumbai-based team can run a Marathi customer support agent using Fennec STT while running an English outbound sales agent on Deepgram within the same workspace.

How Do They Handle PII and Data Protection?

Bolti provides built-in, enterprise-grade PII redaction at runtime to mask sensitive data before it reaches third-party LLMs, alongside workspace-scoped transcripts and encrypted storage. Bolna AI has no built-in data masking or compliance layers, leaving the entire security and DPDP compliance posture to your developers.

Bolti's Security and Compliance Controls

• Runtime PII Redaction: Masks names, phone numbers, and financial details before sending transcripts to third-party LLMs (OpenAI, Anthropic, etc.), mitigating data exposure risks.
• Workspace Isolation: Transcripts and call records are strictly workspace-scoped. Other workspaces in your organization cannot access your data, and a minimum role of Viewer is required to read transcripts.
• Encryption Standards: Full encryption at rest (Postgres and object storage) and TLS in transit for all API calls.
• Operational Auditing: Database access by Bolti's operations team is fully logged and restricted to direct support requests.

With Bolna AI, your developers must build custom data-scrubbing pipelines from scratch to comply with regulations like India's DPDP, GDPR, or HIPAA.

How Does HR Screening Work on Bolti vs Bolna AI?

Bolti features a native, ready-to-use HR Screening module that parses CVs, summarizes candidate details, and executes structured screening calls automatically. Bolna AI provides generic building blocks, meaning your team must write custom code to parse resumes, map variables, and chain the call workflows together.

Under the Agents -> HR Screening tab in Bolti, you can build a repeatable hiring funnel:

1. Create a Role: Paste your job description and list your custom screening questions.
2. Upload Candidate CVs: Bolti automatically parses the resumes and summarizes them into refined pointers.
3. Configure the Screening Agent: Select an agent from your workspace. Bolti maps the candidate details using template variables: {{ candidate_name }}, {{ jd_text }}, {{ custom_questions }}, and {{ candidate_details }}.
4. Automate Outreach: Schedule outbound calls directly or send a scheduling link via email or WhatsApp so candidates can self-book slots.

What About Other Built-In Workflows?

Bolti offers pre-built modules for outbound sales, appointment booking, payment reminders, and after-hours helpdesks that launch in minutes. Bolna AI requires you to build every business workflow from scratch, adding weeks of development time before your first live call.

Ready-to-use Bolti workflows include:

• Outbound Sales: Dial lead lists with configurable pacing and automatic call disposition tracking.
• Appointment Booking: Inbound and outbound scheduling integrated with your business calendars.
• Payment Reminders: Automated outbound payment nudges with live agent handoff for Indian NBFCs and fintechs.
• After-Hours Helpdesk: 24/7 inbound support to handle customer queries without staffing overhead.

You can explore Bolti's use cases to see how these workflows are structured.

Pricing: What Does Each Platform Actually Cost?

Bolti uses a transparent ₹6/min pay-as-you-go pricing model with no monthly minimums and a 50-minute free trial. Bolna AI is free and open-source, but you must pay for your own servers, telephony carriers, LLM tokens, and the engineering hours required to maintain the stack.

Feature	Bolti	Bolna AI
Pricing Model	₹6/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
On-Prem Option	Yes (Enterprise contract)	Yes (Self-managed)
Built-in PII Redaction	Yes	No

While Bolna AI appears cheaper upfront, the total cost of ownership (TCO) includes server maintenance, telephony integration, and ongoing developer support. For an operations team running 10,000 minutes of calls per month, Bolti costs ₹60,000—significantly less than the monthly salary of a dedicated DevOps engineer. See the full breakdown on Bolti's pricing page.

API and Developer Experience

Bolti provides a complete REST API where every dashboard action is an API call, alongside a native MCP server for Cursor and Claude Desktop. Bolna AI offers a Python-first developer experience that is highly customizable but lacks a managed API layer and modern LLM assistant integrations.

With Bolti's native MCP server, developers can configure agents, trigger outbound call campaigns, and pull call transcripts directly from within Cursor or Claude Desktop. This eliminates the need to jump between your IDE and a browser dashboard during development.

Set Up Your First Voice Agent with Bolti

If you are tired of managing complex open-source pipelines or want to migrate from Bolna AI to a production-ready system, Bolti makes it simple. You can spin up your first multilingual voice agent in under 10 minutes with our ₹6/min pay-as-you-go plan. Sign up for your free 50-minute trial today and run your first live test calls without writing a single line of infrastructure code.

Frequently Asked Questions

Is Bolti really ₹6/minute?

Yes. Bolti charges a flat ₹6/minute pay-as-you-go rate for its managed cloud platform. This covers platform orchestration, and you can bring your own SIP carrier (BYOC) or use Bolti's numbers.

Can I host Bolti on my own servers?

Yes. Bolti offers an on-premises deployment option delivered via an enterprise contract. The deployment is packaged into three containerized node groups (App, Realtime, and Observability nodes) that run via Docker Compose or Kubernetes.

How does Bolti handle Indian accents compared to Bolna AI?

Bolti features native integration with Fennec, an STT provider optimized specifically for Indian regional languages (Hindi, Tamil, Telugu, Marathi, Bengali, Gujarati) and accents. Bolna AI requires you to manually integrate and configure these specialized STT providers in your code.

Does Bolti offer PII redaction for compliance?

Yes. Bolti has built-in runtime PII redaction that masks sensitive customer data (like names, phone numbers, and financial details) before it is sent to third-party LLMs, helping you comply with DPDP, GDPR, and HIPAA regulations.