Unlocking the Archive: AI That Turns Forgotten Research Into Daily Insight

ATLANTA, GA – July 29, 2026 – In the vast digital archives of every major corporation sits a graveyard of expensive ideas. Market research studies, consumer interviews, and survey results—often costing six figures to produce—answer a question for a moment and are then filed away, their potential value diminishing with each passing day. Today, the research platform Discuss launched a tool that aims to resurrect that dormant knowledge, transforming years of forgotten data into a dynamic, queryable asset for the entire enterprise.

Called Discuss Intelligence, the new capability allows any employee in an organization, from a product leader to a brand manager, to ask plain-language questions of their company’s entire history of research. The platform promises to return quantifiable, source-traced answers in seconds, potentially changing not just the speed of business decisions, but the economics of research itself.

From Digital Dust to Strategic Asset

The problem Discuss Intelligence tackles is one of scale and accessibility. Most large companies have invested millions of dollars over the years to understand their customers. Yet, that knowledge is often siloed in disconnected tools, buried in PowerPoint decks on individual hard drives, or held by a small, overburdened insights team. When a new question arises, the default is often to commission a new study, not because the answer doesn't exist internally, but because finding it is a manual, time-consuming effort that can't keep pace with business needs.

“Every year, enterprises spend millions on research that answers questions for a few weeks and then disappears,” said Daniel Graff-Radford, CEO of Discuss, in the announcement. “Discuss Intelligence changes the economics of that entirely. The answer that cost an organization six figures that only six researchers have access to is still there, still findable, still relevant. That is a fundamentally different return on research investment.”

This transforms research from a one-time expense into a compounding asset. Every study, interview, and survey—past, present, and future—is ingested into a connected workspace. The result is a living library of consumer understanding that grows more valuable with each addition, always available and ready to inform the next big decision without the friction of starting from scratch.

Beyond the Keyword Search

While the concept of a central research repository isn't new, and many generic AI tools promise to summarize text, Discuss claims its solution is fundamentally different. The company argues that tools not specifically designed for research data often fall short. They can match keywords and generate plausible-sounding summaries, but they lack the rigor to truly understand qualitative data. They cannot, for instance, tell a user how many people expressed a certain sentiment or trace a claim back to the specific person who made it.

This is where Discuss Intelligence stakes its claim. Built on a foundation of over a decade of experience and the coding of more than 11 billion open-ended responses, the platform was designed to structure and quantify the nuances of human feedback. When a user asks a question, the system doesn't just search for words; it identifies relevant studies across the entire library, scopes the query by market or customer segment, and analyzes the qualitative data to identify themes. It then returns an answer that includes volumes and percentages—the depth of qualitative with the clarity of quantitative.

Crucially, every finding is defensible. Each theme, statistic, or data visualization is pinned directly to the source: the original verbatim quote, the video clip of the participant, their segment, and the study they were in. This source-traceability provides the confidence needed for teams to act on the findings. This technical prowess is backed by third-party validation; research firm Forrester named Discuss a Leader in its Q1 2026 Wave report for Experience Research Platforms, giving the company the highest score for its current offering, a nod to its strength in AI-powered analysis and usability.

Democratizing Data, Evolving Roles

Perhaps the most significant strategic shift enabled by Discuss Intelligence lies in its accessibility. The company has made a deliberate choice to offer the capability without the per-seat pricing complexity that often limits the adoption of enterprise software. This model is a direct effort to democratize insight, moving it from the exclusive domain of the research department into the daily workflow of anyone who needs to understand the customer.

A brand manager in Mexico, for example, can ask a question in Spanish and receive an answer in Spanish, sourced from local consumer verbatims, in seconds. A product team can instantly gauge reactions to a feature across multiple past studies without filing a request with the insights team and waiting weeks for an answer. The platform even personalizes results, learning a user's role, markets, and research history to tailor answers for their specific context.

This shift doesn't make insights professionals obsolete; it elevates their role. Instead of spending their days fielding ad-hoc data requests and acting as gatekeepers to information, they are freed to focus on more strategic work. With a full view of what the organization is asking, they can identify knowledge gaps, add crucial context to AI-surfaced findings, and proactively set the research agenda. They transition from being reactive data pullers to strategic partners in the business, guiding the company's understanding of the human experience at a higher level.

A Hybrid Future for Human Insight

Discuss Intelligence arrives at a time of intense focus on the role of artificial intelligence in every facet of business. The market research industry is no exception, with a proliferation of tools promising to automate and accelerate insight generation. However, a common critique of purely AI-driven solutions is their potential to miss nuance or produce confident-sounding inaccuracies.

What makes the Discuss approach notable is its integration within a hybrid model that combines AI with human-moderated research. The platform's philosophy appears to be that AI is a powerful assistant, not a replacement for human judgment. By automating the laborious tasks of sorting, coding, and quantifying data, it allows human researchers to dedicate their expertise to what they do best: strategic interpretation, uncovering deeper meaning, and understanding the 'why' behind the 'what'.

The platform's insistence on tracing every insight back to a human source reinforces this. It acknowledges that at the end of every data point is a person. By making it easier than ever for an entire organization to access and understand those human stories, Discuss Intelligence is not just a tool for efficiency; it is a tool for empathy at scale.