Miravoice Secures $6.3M in Seed Funding

The SaaS News· June 20, 2026

San Francisco-based Miravoice has raised $6.3 million in seed funding to advance its AI-powered platform for precision voice-based data collection. The company specializes in building voice agents for structured, quantitative conversations such as market research and public opinion polling. This funding marks a significant step in automating complex, long-form phone surveys through scalable conversational AI technology.

Miravoice, a San Francisco-based voice AI platform, has successfully closed a $6.3 million seed funding round led by Unusual Ventures. The investment also saw participation from Neo, 25madison, and prominent angel investors including Karim Atiyeh, Rajeev Goel, and Amar Goel. Unusual Ventures, which specializes in seed-stage enterprise software and artificial intelligence, will provide structured execution support alongside the capital. The company plans to utilize the new funds to expand its engineering capacity and scale its infrastructure to support tens of millions of calls as it prepares for a broader market rollout.

Founded by Nishant Jain, Danny D. Leybzon, and Shreyas Tirumala, Miravoice focuses on the niche of precision data collection through AI-driven voice agents. The platform is designed to handle structured, quantitative conversations, specifically targeting long-form phone surveys for market research and public opinion polling. By providing a no-code interface, the platform enables non-technical users to upload questionnaires and configure logic independently. This allows organizations to launch large-scale voice campaigns without the need for dedicated engineering resources, effectively lowering the barrier to entry for high-quality data gathering.

The startup's mission is to make the process of gathering precise, structured data over voice as simple as using a digital tool like Google Forms. By automating the traditionally manual and labor-intensive process of phone-based polling, Miravoice aims to provide a more efficient solution for the market research industry. The platform’s ability to scale to millions of calls suggests a significant shift in how public opinion and enterprise data are collected, moving toward a model where conversational AI provides both the scale of digital surveys and the nuance of voice interaction.

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