HeyMarvin, the AI-native collaborative research platform, announced the launch of Agentic Ask AI, bringing multi-agent search to enterprise customer research for the first time.

“One of the biggest challenges in AI is that it can miss important context or overlook key details buried in your data,” said Prayag Narula, CEO and co-founder of HeyMarvin.

Every year, companies invest millions into collecting customer data through interviews, surveys, UX studies, support tickets, and customer conversations. Yet when critical decisions need to be made, that knowledge remains siloed across teams, tools, and systems. The answers exist, but teams struggle to find them quickly when they need them most.

Introducing Agentic Ask AI

HeyMarvin’s Agentic Ask AI takes a fundamentally different approach. Instead of relying on a single model to answer a research question, it deploys specialized AI agents that work together autonomously to break down the question, cross-validate findings, and surface evidence-backed insights across millions of customer data points in a company’s knowledge repository.

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How it works:

• Discovery agents scan for relevant data across projects and time periods.
• Analysis agents interpret large volumes of qualitative and quantitative feedback, connecting insights across previously disconnected data sources.
• Validation agents cross-check findings against contradictory evidence to ensure critical signals aren’t missed.
• Citation agents track exactly where each piece of information originated, linking every claim to its source.
• Synthesis agents distill complex, multi-source findings into clear answers with supporting evidence that address the original question directly.

“One of the biggest challenges in AI today is that it can miss important context or overlook key details buried in your data,” said Prayag Narula, CEO and co-founder of HeyMarvin. “In research, that’s a problem. If five customers love something and two report a serious issue, both matter. We designed our agents to operate like a team of researchers reviewing each other’s work. They run multiple searches, challenge assumptions, and surface nuance that traditional AI tools may miss.”

Purpose-built for Research

HeyMarvin’s Agentic Ask AI is optimized for the complex realities of qualitative and quantitative research. A single search query can analyze data across video, audio, documents, spreadsheets, and support tickets, including long, multi-speaker conversations where context and sentiment are critical. Results are returned with clear explanations and direct links back to every source, enabling teams to verify insights and confidently act on them.

HeyMarvin has been applying AI to research workflows for more than five years, processing hundreds of millions of real research queries across regulated industries and large enterprises. These insights shaped how Agentic Ask AI was built, and ensured it works reliably for organizations where accuracy and traceability aren’t optional.

“Our mission isn’t just to help researchers; it’s to make everyone in your organization find value in research. Marvin ensures that insights are both accessible and actionable for leaders and key stakeholders, in real time,” said Narula. “By making insights instantly searchable and shareable across teams, Marvin democratizes access to customer truth. That cultural shift is as important as the technology itself.”