Bengaluru-based Vobiz.ai has raised $1 million in seed funding from Piper Serica VC Fund. Co-founded in 2025 by Suman Gandham and Vikash Srivastava, Vobiz.ai offers a developer-first, API-driven telephony platform purpose-built for the era of AI-powered voice.
The product covers the full stack of what voice AI applications actually need: instant DID (Direct Inward Dialing) number provisioning, low-latency SIP trunking, real-time audio streaming for large language model integrations, noise cancellation, and automated compliance workflows aligned with Indian telecom regulations. The platform also provides call bridging optimised for AI response cycles — a small but critical detail, since traditional telephony introduces latency that makes conversational AI feel broken. Developers can integrate these capabilities without building the telecom layer from scratch, which has historically required either expensive carrier relationships or months of engineering work.
The global voice AI market is projected to reach $32.47 billion by 2030, growing at a CAGR of 29%, driven by adoption across contact centres, healthcare, BFSI, and consumer apps. In India, the push toward AI-native customer engagement has been accelerating — from fintech companies running AI collection agents to D2C brands deploying automated post-purchase support. Most of these deployments currently run on platforms like Exotel, Plivo, or global players like Twilio and Telnyx — built for human agents, not AI cycles. Vobiz.ai is positioning itself as the AI-native alternative, with a compliance layer specifically tuned for Indian regulatory requirements.
Over the next 12 to 18 months, the company plans to expand its DID inventory and carrier partnerships, enhance real-time streaming capabilities, and launch advanced enterprise-grade observability tools. The seed capital will be directed toward strengthening engineering and go-to-market.
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Piper Serica’s backing is also notable in context — the fund has been active across Bengaluru’s infrastructure-layer startups. The firm’s early conviction on Vobiz.ai reflects a broader thesis that the rise of voice AI will demand equally specialised infrastructure — and that the companies building that infrastructure early may prove just as valuable as the voice agents sitting on top of it.
