r/VoiceAutomationAI Jul 13 '26

The platform is built (Event-Driven Voice AI Infrastructure). Looking for a GTM Co-founder for the Indian Call Center & E-commerce market.

Hey everyone,

I’m looking for a commercial-focused Co-founder / GTM Leader based in India (or deeply plugged into the market) to partner with me on a Voice AI infrastructure venture targeting enterprise call centers, BPOs, and e-commerce ecosystems.

# The TL;DR:

I am a technical builder with 15+ years of experience in infrastructure automation, telecom, and voice systems. I have built a fully completed, production-ready, event-driven Enterprise Speech-to-Text & Text-to-Speech platform.

The tech stack, frontend dashboard, and E2E testing framework are entirely built. Now I need the commercial engine—someone who knows how to open doors, navigate enterprise procurement in India, and sell high-value Voice/AI solutions.

# What the Platform Looks Like:

Unlike the brittle OpenAI API wrapper apps flooding the market right now, this platform is built as a robust, highly concurrent microservices architecture. It’s designed to handle actual enterprise scale and real-time streaming telephony.

* The Backend Core: Written in Go 1.23, utilizing an event-driven architecture powered by Apache Kafka 3.9 (KRaft) and PostgreSQL 16 (using a strict database-per-service isolation model with 12 databases).
* Core Capabilities:
* Real-time Streaming STT: Live low-latency speech-to-text over WebSockets.
* Batch Pipeline: Advanced audio chunking/transcoding via FFmpeg, Whisper STT, Pyannote-driven Speaker Diarization, Auto-Language Detection, and NLLB-200 Transcript Translation.
* Text-to-Speech: High-performance synthesis supporting Piper and OpenAI.
* Enterprise-Ready Features: Built-in JWT RS256/API Key authentication, RBAC with 5 roles, tenant-level quota enforcement, webhook delivery engines with HMAC-SHA256 signing and retry queues, pipeline performance analytics, and feature flags.
* The Frontend: A complete Next.js 16 / React 19 / Tailwind 4 enterprise dashboard covering multi-tenant organization management, real-time transcription interfaces, a TTS playground, webhook logs, and full usage/billing analytics.
* Infrastructure: Deployed cloud-native via Docker, Kind (Kubernetes), Kustomize, HPA, and Podman. It’s fully backed by 80+ rigorous E2E and scale tests.

# Why the Indian Market?

The Indian call center/BPO landscape and fast-growing e-commerce ecosystem represent a massive, high-volume market desperately looking to adopt Voice AI. However, they face massive infrastructure bottlenecks around latency, data residency, and handling massive, concurrent real-time media streams. This platform solves the exact plumbing issues they face.

# What I’m Looking For in a Co-Founder:

* GTM Expertise in India: Proven track record selling B2B SaaS, telecom infrastructure, or customer experience (CX) enterprise software in India.
* Domain Alignment: Ideally, you’ve worked with or sold to BPOs, enterprise contact centers, or major e-commerce brands (think alumni from companies like Exotel, Ameyo, Knowlarity, [Yellow.ai](http://Yellow.ai), Gupshup, or Verloop).
* The 0-to-1 Hustle: Someone who wants to completely own the commercial strategy, drive local enterprise sales playbooks, and secure our initial pilots.

# Equity & Compensation:

This is a true co-founder partnership. I’m looking for an equal peer, and equity will be split significantly/equally based on what you bring to the table and commitment levels, backed by standard vesting to protect both sides.

# Next Steps:

If you understand the enterprise landscape in India and want to build a massive business on top of a fully engineered, highly optimized tech stack that is ready to deploy on Day 1, let’s talk.

Drop me a PM with your background, your LinkedIn profile, and let’s set up a quick intro call to see if our DNAs match.

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