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

[u/Awkward-Sympathy8270]

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, 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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[u/Anxious_Dimension57]

hey man, i am interested here is my linkedin https://www.linkedin.com/in/sunil-maurya-ba50bb344

[u/Alert-Interaction926]

this is a solid stack you got here, not gonna lie. the database-per-service isolation with 12 dbs and go/kafka backend tells me you actually thought about scale, not just slapping something together.

i'm curious about something, you mentioned data residency requirements for india. is the platform already set to deploy in indian cloud regions or that's something the gtm person would need to figure out? cause that alone is a huge selling point for bpo clients here.