From social, market, search, voice of customer, and even your own data, Quid delivers you actionable insights that help you drive positive business outcomes by drawing connections from millions of diverse data sets.

Today, we have over 2 petabytes of model data active for our customers.

A Quid Model represents your market, brand, category, product or research topic through the discussions, opinions and expressions of your customers and consumers.

Accessible via natural language, Models deliver high-quality, data-backed answers to inform business decision-making.

AI Agents analyze the Model to uncover trends, patterns and insights, and produce content-rich deliverables that drive business outcomes.

And just like your market, your Models evolve every day.

Quid AI-powered agents, Q Agents, leverage the Quid product suite from the tooling layer and perform data analysis utilizing the data layer.

The availability of tools and seamless access to a variety of enriched datasets enhance interoperability between tools and data, providing a cohesive and efficient user experience.

Quid uses a system of Models — each designed to structure and analyze market, consumer, and cultural data. These Models are built around specific questions or domains that matter to the client, such as evolving consumer behaviors, competitive shifts, product trends, brand perception, or market signals.

The Models pull from Quid’s data sources — including social, search, media, forums, reviews, VOC, and your data. They give structure to the noise, allowing AI Agents to analyze the data at scale: clustering and scoring trends, detecting emerging narratives, and tracking changes over time.

This intelligence is delivered through Insight Briefs that connect the signals back to the client’s original business questions, all while staying compliant and secure.

Digital, media-rich briefs that provide analytical knowledge workers and decision makers with the data-backed insights they need.​

The layout is designed by a human, but the content is populated through refined AI prompting to achieve the content quality level needed, performed by Outcome Engineers.​ 

Q Agents streamline the process by handling repetitive jobs-to-be-done — like summarizing, sorting, and highlighting change — freeing up teams to focus on interpretation and action.

Clients can also explore Models directly through Ask Q, using natural language to question what’s changing, why, and where to dig deeper — without having to re-run analysis or wait for a new deliverable.

Outcome Engineers work alongside stakeholders to ensure every engagement is aligned to business priorities — whether it’s growth, retention, innovation, or risk reduction. They help clarify what matters, where to focus, and how to structure the work around decisions that need to be made.

The approach flexes with changing goals and evolving team needs. Instead of a fixed workflow, it adapts to how the organization operates — ensuring the work stays connected to strategic outcomes, not just insight delivery.

Quid acts as an extension of the client’s insight team, helping reduce the time and effort it takes to find and act on what matters. Outcome Engineers use AI-powered Q Agents to handle repetitive jobs-to-be-done — summarizing, sorting, and surfacing key signals — so teams can focus on decisions, not data wrangling.

Insight Briefs are curated, visual, and ready to share — built to cut through noise and deliver clarity. The process is flexible and iterative, adapting to shifting needs while keeping outputs timely, relevant, and easy to explore through tools like Ask Q.