Funding · AI & Deep Tech

Bolna AI raises $6.3M seed round led by General Catalyst

By Startup Enthusiast · 15 July 2026

What they do

Bolna AI builds a voice AI orchestration platform that connects speech recognition and large language models for businesses

The company raised $6.3 million in a seed round led by General Catalyst to expand enterprise adoption and team

Bolna AI claims over 2,500 paying customers and monthly revenue of $175k while being profitable

Bolna AI has raised $6.3 million in a seed round led by General Catalyst.
The Bengaluru-based startup was founded in 2024 by IIT Delhi alumni Maitreya Wagh and Prateek Sachan.
Bolna AI provides a voice AI orchestration platform that integrates various speech and language technologies.
The company pivoted from recruitment apps to focus on a model-agnostic voice AI layer in mid-2025.
It claims to have launched and managed agents in under 30 minutes via simple configuration.
Bolna AI states it has over 2,500 paying customers and approximately 100 enterprise clients.

Bolna AI addresses a market gap for low-latency enterprise models in vernacular Indian languages like Bangla and Assamese.

Bolna AI offers a platform that connects speech recognition, LLMs, telephony, TTS, and workflow automation.
Its tech approach is model-agnostic, integrating tools from Deepgram, ElevenLabs, OpenAI, Whisper, and Llama.
Key capabilities include call auditing, self-learning agentic systems, operational workflows, and multilingual support.
The platform serves sectors including ecommerce, BFSI, education, recruitment, entertainment, and logistics.
Ecommerce, BFSI, and education account for approximately 80% of the company's total revenue.
Clients include Varun Beverages, Alibaba, GoKwik, Spinny, BiteSpeed, and Meritto.
The company focuses on solving noise cancellation issues in multilingual environments for better accuracy.

General Catalyst (lead) — A venture capital firm leading the seed investment in Bolna AI.

Product: Self-serve voice AI orchestration platform that enables enterprises to design, deploy, and manage conversational agents for telephony.
Customers: Enterprises needing automated telephonic workflows across sales, support, collections, and recruitment.
How it makes money: SaaS subscription and consumption-based pricing per minute or call volume.
What sets it apart: Proprietary voice AI architecture supporting over 10 Indian languages optimized for regional accents and noisy telephony environments.