Why Panoplai Earned Greenbook's Industry Impact Award at IIEX North America 2026

Each IIEX event recognizes innovation in three distinct ways: Attendees vote for the Audience Favorite, a panel of judges selects the Expert's Choice, and Greenbook's leadership team presents the Industry Impact Award to the company whose vision has the greatest potential to shape the future of the insights profession. At IIEX North America 2026, that particular recognition went to Panoplai.

Rather than presenting another standalone AI tool, Panoplai outlined a broader vision for how research, AI, simulation, and decision-making could work together as a connected system of intelligence. For Greenbook's leadership team, that distinction mattered. Panoplai wasn't recognized for a single product capability, but for a vision of how the insights profession itself is evolving.

CEO Neil Dixit describes that vision with a simple but consequential idea: the future of insights will depend on a more connected system of intelligence, one that brings together research, data, simulation, and decision-making rather than treating them as separate steps. “It’s a real system of intelligence,” Dixit says. “The entire system is agentic, not just one piece of it.”

The Shift From Research to Decisions

Dixit’s view of the category begins with the reality that companies already have more information than they can easily use. They have historical research, behavioral data, structured data, unstructured data, and now new forms of AI-assisted analysis and simulation. The challenge is no longer simply collecting more information, but turning that information into something decision-makers can actually act on.

That is why Dixit describes Panoplai as a way to help companies “ask its customers a question and actually get a trustworthy answer back fast enough to use it.” The phrase captures both the speed and the reliability problem that many insights teams are trying to solve. In his view, the goal is not automation for its own sake, but a better decision process built on a wider set of signals.

For Dixit, the challenge isn't simply building better AI. It's ensuring the technology serves both rigorous research and better business decisions. “We do both,” Dixit says of the company’s position in the market. “We cater to the existing researcher trying to carve out a path for themselves, and we cater to the marketer, the innovator, the strategist, the product specialist, the brand manager, anyone trying to answer questions and make decisions.” That framing matters because it suggests the future of insights will belong to tools that serve multiple stakeholders without flattening the rigor that makes research trustworthy.

Why Connection Matters More Than Automation

One of Dixit’s clearest points is that the industry has spent too much time thinking in silos. Survey tools, reporting tools, simulation tools, digital twins, and synthetic methods are often discussed as separate categories, when in reality they all support the same underlying objective: better decisions. “We built the whole ecosystem,” Dixit says. “Collection, ingestion, analysis, simulation, twins, synthetic, all connected, all agentic”.

That idea of connection also extends to how Panoplai thinks about data itself. Dixit describes a platform in which every response, whether real or synthetic, behavioral or attitudinal, contributes to a larger and more compounding system of intelligence. For him, that compounding effect is part of what makes the approach durable in a market that is changing quickly.

He is also frank about the limits of shiny new tools. In his view, some AI companies in the space focus too much on efficiency and too little on grounded methodology. Panoplai, by contrast, is meant to support both the researcher and the business user, with enough methodological rigor to hold up inside real enterprise workflows. That distinction helps explain why the Greenbook leadership team saw the company as an Industry Impact winner rather than just another interesting startup.

Experience Shaped the Vision

Dixit’s perspective is shaped by a long career in research technology. He has spent two decades in the industry, starting with his own data-processing and survey-programming business, then moving through product leadership roles at Toluna and Lucid before building Panoplai. That background gives him a practical understanding of what research teams need and where existing workflows tend to break down.

His path also helps explain why he is so focused on connection rather than novelty. Panoplai began with a thesis around using AI to understand language, sentiment, and emotion at scale, paired with programmatic sampling and layered analysis. Over time, that evolved into a broader system designed to solve real business problems in marketing, product, brand, consumer understanding, and B2B research. 

The point was never to create one more isolated tool, but to create infrastructure that could adapt as the category changed.

That mindset is what gives his thinking weight. Dixit is not presenting a theory of the future from the outside; he is describing a future he has spent years building toward. As he puts it, Panoplai is about bringing “clarity, validity, and choice” to a debate that often gets framed too simplistically around human research, digital twins, and synthetic data.

Why This Vision Stood Out

For Dixit, the Industry Impact Award is meaningful because it validates a direction that has already been in motion. “It’s also validation for stuff we’ve been building for a while,” he says. But the bigger signal is what the award says about the industry itself: that the next phase of insights will likely reward systems that can connect methods, data types, and workflows rather than isolate them.

That is why Dixit keeps returning to the idea of a connected system. “The future of insights stops being a siloed function,” he says. “It becomes a true connected system”. In that future, the most valuable platforms will not simply produce answers faster. They will help organizations move from question to decision with less friction and more confidence.

He is equally direct about what that means for users. “That means accurate instant answers, and instant decisions,” Dixit says, “not waiting on a research team’s queue to get back to you.” It is a provocative statement, but it reflects a real shift in expectations. As businesses demand faster and more integrated intelligence, the role of insights may become less about producing reports and more about orchestrating decision support.

What Comes Next for Insights

What makes Dixit’s perspective compelling is that it reaches beyond Panoplai itself. He is describing a category in transition, one where AI is not just a feature but part of a larger rethinking of how companies learn from customers and act on what they learn. That is also why the award feels aligned with Greenbook’s broader message at IIEX North America: the future of insights will be defined by tools and leaders who can bridge methodology, intelligence, and action.

Dixit’s optimism is clear, but it is not naive. He acknowledges that the market is moving quickly and that differentiators can disappear fast. Still, he sees that pace as a reason to build more durable systems, not to chase novelty for its own sake. In his view, the companies that matter most will be the ones that help the industry move from fragmented workflows to a connected model of intelligence.

That is ultimately what the Industry Impact Award recognizes. Not simply the most innovative product unveiled at IIEX, but the vision most likely to influence where the insights profession goes next.