Cofounder @sigmamind_ai Building the voice AI layer that powers customer communications

San Francisco/Bangalore
Joined September 2016
You ruined demos for me! Any other demo is gonna feel meh after this one.
Real life, baby
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What did I just watch? Really thought this was AI generated. What a time to be alive! Also whoever created the post countdown video - well done!
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India ranks 100 for broadband data speeds. Those opposing @Starlink and chest thumping about data affordability in India should look at the reality of “high speed data”in India. Affordability should not come with sub-standard service. Source: ooklaserver.org/global-index
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After frequently taking waymos /robotaxis, riding an uber feels less safe.
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Rime's new flagship TTS model, Coda, is now live on SigmaMind AI. @rimelabs @sigmamind_ai Here's why we added Coda to SigmaMind.. 🧵
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Why Coda: trained on real full-duplex conversations between actual people, not audiobook narrators. Sub-200ms latency. Pronunciation you fix in minutes, not a retrain.
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On SigmaMind it runs out of the box. You skip the plumbing and go straight to building the agent. Live today. Experience it now on @sigmamind_ai
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Excited to announce Slashy The first email client that works for you. The real cost of email isn't the time. It's the mental load of constantly checking it, just in case something needs you. Slashy kills that. You never need to open your inbox unless Slashy tells you. Try it out at slashy.com
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#53: #AIRadarDaily — @sigmamind_ai There is a massive illusion in the AI space right now when it comes to voice. The demos look like magic. But the moment you try to deploy a voice agent in a real-world enterprise setting, reality hits. You end up duct-taping together different transcription APIs, LLMs, and text-to-speech models. The result? Unbearable latency, awkward robotic pauses, and systems that fail completely the second a customer with a thick accent tries to interrupt. Building truly conversational voice AI isn't just a model problem; it is a deeply complex, unglamorous systems problem. SigmaMind AI is quietly building the definitive orchestration layer to solve exactly this. Founded by Ashish Agarwal and Pratik Mundra, SigmaMind is an enterprise-grade platform that lets companies deploy production-ready voice and chat agents that don't just listen, but actually reason, trigger APIs, and complete tasks in real time. The true moat here is sheer, unadulterated speed and infrastructural rigor. The team have engineered a system that maintains sub-one-second voice-to-voice latency, even when absorbing the brutal drag of traditional telephony overhead. By processing streaming transcripts and acting before a sentence is even finished, their agents can handle interruptions flawlessly and trigger workflows mid-utterance. They handle the incredibly messy audio plumbing so businesses can focus purely on logic and behavior. The market? Customer support teams, call centers, and global e-commerce brands who are already routing over a million calls a month through the platform. They realize that in the world of voice AI, a one-second delay is the difference between a resolved ticket and a lost customer. What stands out here is the audacity of the build. It takes immense technical courage to look at a highly fragmented ecosystem and decide to build the robust, connective tissue from the ground up. This is an Indian team building the complex cognitive infrastructure for global conversational AI. This is the kind of rigorous, head-down execution that gives momentum to the Product Nation dream. Let's celebrate the builders. w/ Jay Ingle & Dikshant Joshi #VoiceAI #ProductNation
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We just made voice agents self-improving. Here's how it works 👇 Define your test cases. Run simulated calls. Get structured results back. Feed them into your prompt -- automatically, using Claude, Cursor, or Codex through the SigmaMind API or MCP. Your voice agents just keep getting better.
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We launched the SigmaMind MCP server on Product Hunt today. 5M+ calls processed. 2,500+ voice agents in production. And now you can build and manage all of it from inside Claude -- no dashboard, no boilerplate. Upvote/comment if you want to support 👇 producthunt.com/products/sig…
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Pratik Mundra retweeted
You know you want to build a #VoiceAI Agent? Just get on #Cursor or #ClaudeCode and describe it! One instruction. And then it's done. Watch how! #Model picked, #Voice configured, #prompt written, phone number assigned. The agent is ready to take calls! #MCP #Codex #VSCode
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Whoever from @IndiGo6E marketing team thought playing an annoying loud jingle on loop is a good idea should be fired! Just stopping this jingle would go a long way towards improving customer experience. Why even play it?
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Pratik Mundra retweeted
MCP in action: this demo shows how you can run a complete #VoiceAI workflow directly from your #coding environment. Buy a number → assign an agent → make a call → fetch logs All via simple prompts to an AI assistant. Powered by SigmaMind #MCP. docs.sigmamind.ai/mcp/server
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Launched our MCP server! You can now build voice agents from within your favorite coding tools using @sigmamind_ai MCP. MCP makes it easy for anyone to build and launch their voice agents using AI tools. You can continue to use our APIs if thats your game!
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Get your SigmaMind API key and try it out here: api.sigmamind.ai/mcp
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Launching App Marketplace on @sigmamind_ai We've made it extremely easy for you to connect your favorite apps/tools to voice agents. Try it out now on sigmamind.ai
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Pratik Mundra retweeted
We helped a call center client processing 750K+ calls a month add AI voice agents to their existing #VICIdial setup - without replacing a single component. sigmamind.ai/blog/vicidial-i…
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How do you scale best-in-class TTS to 750k monthly calls? SigmaMind AI is a leading enterprise-grade Voice AI platform currently handling tens of thousands of calls with ultra-low latency and best-in-class scalable voice infra. Known for its sub-800ms latency, SigmaMind enables natural, real-time conversations at scale. Its no-code agent builder allows business users to quickly create voice agents, while full APIs give developers deep customization and integration capabilities. After selecting Rime, they saw: + Best-in-class conversion vs. other top TTS models + Enterprise-grade scalability and uptime + Stronger pronunciation control + Dedicated support through a shared Slack channel + Pricing that makes sense at massive scale We’re proud to partner with SigmaMind as they continue to scale, explore personalization, and expand into multilingual use cases. Full case study below ↓
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