AI-native market research automation startup Echovane raises $1M

Echovane, an agentic AI startup focused on market research automation, has closed a $1 million pre-seed round. Titan Capital and Neon Fund co-led the deal, and the money is meant to speed up work on its AI-native research platform and the agent infrastructure behind it.

The company didn’t start with such a broad ambition. The founders first wanted to build an AI agent that could interview people and make qualitative research faster. That prototype taught them something else: the interview is only one piece of a much larger machine, and it’s often not the slowest one.

Smriti Gupta, Vipul Nair and Himadri Roy all previously worked on product development at companies including Amazon, Stripe and Razorpay. As they dug into the problem, they found a process full of moving parts: recruiters, panel vendors, moderators, translators, analysts and the person left stitching it all together. The real drag, Gupta said, is that researchers spend too much time on logistics and not enough time on the meaning of the work.

That complexity also creates a second problem: speed often comes at the expense of quality. Poor screening, professional respondents and even fraud can distort the results. Echovane’s answer is to own the workflow end to end, from the initial brief to the final decision-ready output, using AI agents to design studies, recruit and verify participants, run multimodal fieldwork and synthesize the results.

The output is not just a static report. Echovane says its agents surface findings in an interactive dashboard and insight reels, with each insight traceable back to its source. The company, which had been bootstrapped until now, already counts Coca-Cola, Procter & Gamble, Haleon, Kantar and Trustly among its users. Trustly’s chief product officer, Adam D’arcy, said Echovane turned a month of product research into two days.

Now the startup wants to expand its global participant network so it can reach hard-to-find demographics without losing quality. Nair said the funding will go into deeper agent infrastructure, broader multimodal capabilities and a stronger participant network for more complex studies.