Miravoice, a startup using AI voice agents to conduct long-form phone surveys, has raised $6.3 million in a seed funding round, the company tells Crunchbase News exclusively.
Unusual Ventures led the financing, which included participation from Neo, 25madison and angel investors from companies such as Ramp, PubMatic, Atlassian and Google.
Miravoice has developed an AI interviewer that it says can conduct phone surveys and voice interviews for “precision data collection” without human interviewers. The surveys are long-form and quantitative, with some including more than 120 questions and lasting over 40 minutes. They span open-ended responses, numerical inputs, multiple choice questions, Likert scales and matrix questions.
“Imagine talking to 100,000 people and instantly capturing what they know,” said CEO and co-founder Nishant Jain. “We make that as simple as creating a Google Form.”
Voice interviews have long been the gold standard for rigorous data collection, but the costs and operational frictions of talking to people have made it more challenging, Jain contends.
“Having to hire call centers made running quantitative research surveys infeasible for most organizations,” he said.
Miravoice claims its agent is designed to be simple for anyone to deploy and not require technical backgrounds to operate.
A user can build a questionnaire, spin up a phone number, and launch its trained voice agent “to get results back in hours rather than weeks,” Jain said.
Multiple languages and ‘messy realities’
Miravoice is hyper-focused on precision, according to Jain.
“Unlike other voice agent companies, we focus on structured conversations in which most questions are known in advance,” he explained. “Our customers know what information they want to get ahead of time, which is why we focus on extracting as much information as possible from respondents while minimizing bias.”
He said Miravoice’s agent will ask every question in a survey without hallucinating responses.
“And when the messy realities of human conversations arise, like interruptions or pauses, our AI can handle them seamlessly,” Jain said.
The Miravoice interviewer is also multilingual by design, a capability that Jain believes is difficult for individual call centers to match.
Using Miravoice’s agent is also cheaper than hiring and training call centers to conduct the same surveys, Jain contends. The platform can handle both outbound and inbound calls if a respondent calls back at any time of day.
Idea and business model
Miravoice was founded by Jain, Danny D. Leybzon and Shreyas Tirumala, three close friends from California who have known each other for more than a decade.
The idea for Miravoice came from firsthand experience with the pains of scaling quantitative survey research in their roles as product managers and consultants. They realized that voice agent technology would be the way these calls would be handled in the future, “if agents were appropriately crafted for the unique needs of this market use case.”
Miravoice has between 10 and 20 customers at varying stages — from paid pilot to production use cases — according to the company. Those customers include a variety of public-opinion survey organizations, market research firms, university departments and private companies across retail, entertainment and logistics.
Its revenue model is usage-based billing: Customers pay for the time its AI agents are actually on the phone with respondents.
Miravoice surpassed 100,000 calls made in 2025, per the company, and expects that number to be significantly higher this year.
“What’s exciting about the space we’re operating in is that the scale of the number of calls our platform has to handle dwarfs most other voice agent use cases,” Jain said. “Our pilot projects alone are on the order of tens of thousands of calls: more than some voice agent companies’ monthly production workloads. In production, some of our customers expect to perform millions to tens of millions of calls each year, after full deployment and implementation.”
Voice AI on the rise
Lars Albright, general partner at Unusual Ventures, said his firm was impressed by the founding team’s technical acumen and product vision.
In Albright’s view, Miravoice’s focus on precision data collection sets it apart from most other entrants in the voice agent market research space.
“They’ve correctly identified that voice AI can streamline operations and time-to-insight for large-scale quantitative research studies,” he wrote via email.
Another area where Miravoice distinguishes itself is its ease of use, he said.
“Many voice agent platforms are geared towards technical audiences and software developers,” Albright said. “Miravoice was built from the ground up with simplicity in mind so that truly any team can use it. This is a step-function change in making AI voice agents for surveys as ubiquitous as web forms are today.”
Indeed, voice AI startups have emerged as standouts in the vast AI space, attracting the attention of investors globally, according to Crunchbase data. Over the past two years, several voice AI companies have seen their valuations triple — a signal of accelerating market demand and perceived long-term worth.
One example of a voice AI company that has seen a massive valuation jump is ElevenLabs, which allows creators, enterprises and others to use AI software to replicate voices in dozens of languages. The Brooklyn, New York-based startup went from achieving unicorn status with an $80 million Series B raise in January 2024 to being valued at about $3.3 billion one year later with a $180 million Series C co-led by Iconiq Capital and Andreessen Horowitz. Then, in February of this year, it raised a $500 million Series D round led by Sequoia Capital at an $11 billion valuation.
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Illustration: Dom Guzman
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