Kumkuat AI launched today with what it calls the first synthetic audience platform built specifically for corporate communications, investor relations, and public affairs teams. The platform lets communicators test how key stakeholders-institutional investors, investigative reporters, partisan policymakers-will react to messaging and actions before going public.
For years, communicators have relied on reputation surveys and media monitoring. Kumkuat answers three questions those tools couldn't address simultaneously: what the most important stakeholders think about the company, why they hold those opinions, and how to respond with direct recommendations from each audience.
"The savviest communicators prioritize one thing above all else: how key audiences feel about what you do and say," said Dan Gaynor, Kumkuat co-founder and an executive fellow at Harvard Business School. "But until now, it's never been possible to preemptively test every move or message."
Audiences you can't survey, modeled so you can
The audiences that determine a company's reputation are often the ones it can barely study. An investor relations team can't run underwhelming forecasts by sell-side analysts without raising eyebrows. Government affairs can't survey a Senate committee. Corporate communications can't ask a reporter covering its crisis which version of a statement builds confidence.
Kumkuat constructs synthetic versions of those influential audiences, generating hundreds per client. Each persona is built from what the actual stakeholder says and does-an analyst's recent notes, a lawmaker's floor statements, a journalist's latest stories. Customers can also add proprietary internal knowledge, such as private feedback from investor roadshows or background conversations with journalists.
The approach builds on research showing synthetic audiences can be as reliable as polling real people. AI for PR & Communications tools like this one are gaining credibility: Bain & Company analysis found digital twins mirror human focus group results with 90% accuracy, and Colgate's research predicted real purchase intent at the same rate, with feedback that was more detailed and critical than human respondents provided.
From insight to action
Teams can hold live conversations to prepare for tough questions-media interviews or Congressional hearings-before they happen for real. They can drop in a draft earnings script, M&A announcement, crisis statement, or media pitch and see within seconds how each audience receives it, what resonates, what falls flat, and specific suggestions on which proof points to add or reword.
"As a marketer, I've always been surrounded by solid foundations to understand customers," said Shann Biglione, Kumkuat's co-founder and product lead. "We see an amazing opportunity for teams in Corporate Communications, Investor Relations and Public Affairs to supplement their expertise with CEO-ready insights."
The platform delivers feedback through report cards, PowerPoint, inline Q&A, interactive websites, and email alerts. It connects to enterprise LLMs via an MCP, making audience insights accessible through Teams, Claude, Gemini, or ChatGPT.
Early traction and enterprise design
Kumkuat's initial customers span agriculture, pharmaceutical, financial services, technology, and national security. A publicly traded satellite company tested messaging against modeled investors and analysts before a major announcement that hit the Bloomberg terminal, a trade show stage, and institutional investors simultaneously. When the story broke, the stock rose 3%. A national security firm modeled reactions from specific members of Congress, governors, and regulators, tailoring messaging to each official's voting record and home-state concerns. An agency communications team tested op-ed drafts against nine synthetic national opinion editors and placed the piece in a top-five circulation outlet.
"Communications today moves at the speed of markets, and for a global company like CNH, precision matters as much as speed," said Cameron Batten, Chief Communications Officer at CNH. "Kumkuat's AI sharpens our edge by pairing our team's judgment with real-time evidence."
The platform locks its narrative sources, stakeholder definitions, and analytical logic so the same input produces the same assessment every time. Each audience cites evidence for every opinion, and all proprietary data remains private to each organization. For communicators who want to develop this capability further, the AI Learning Path for Media Relations Specialists covers related skills for modeling journalist reactions and testing media pitches.
Why this matters for PR and communications professionals
Kumkuat addresses a persistent blind spot in corporate communications: the inability to pre-test high-stakes messaging against the exact audiences that matter most. For communicators who have relied on intuition and post-hoc reputation surveys, the platform offers a way to validate instincts with evidence in seconds rather than days. The early results-a 3% stock move, an op-ed placed in a top-five outlet on a tight deadline-suggest that synthetic audience modeling can shift from experimental tool to operational necessity for teams operating at the highest stakes.
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