Gather today introduced its company-specific customer simulations, powered by AI-moderated interviews with real people. With instant access to millions of potential research participants, Gather captures quantitative and qualitative insights to build and continuously maintain a simulation of each business’s customers and target buyers. Teams use these simulations through Emma, Gather’s AI teammate in Slack, to get actionable insights in minutes, test ideas, and create evidence-backed content.
Gather has grown 10X over the past eight months and serves more than 50 customers across B2B SaaS, AI, retail, consumer packaged goods (CPG), quick-service restaurants (QSR), and other industries.
“Gather starts with real people. Our AI moderators have instant access to millions of potential research participants and conduct interviews that capture both quantitative answers and the qualitative depth behind them. We use that evidence to build and continuously maintain a customer simulation specific to each business, making actionable insights available in minutes,” said Mayank Mehta, co-founder and CEO of Gather. “Research becomes invisible. The insight and what you do next are front and center. Great companies will run research as infrastructure so they can move faster and beat competitors.”
Real interviews power company-specific simulations
Gather’s simulation technology is trained on hundreds of thousands of conversations proprietary to Gather, with more added every day. Building on that foundation, Gather conducts research with each business’s customers and target buyers to create a simulation grounded in their needs, buying decisions, and responses to the company’s products, messaging, and competitive alternatives.
AI moderators combine structured quantitative questions with qualitative exploration, probing beyond an initial response to understand why people think and behave as they do. Existing customer data adds further context, complementing the evidence Gather generates through direct research.
The result is a simulation tailored to the business and the people it needs to understand, going beyond general market trends.
Every interview strengthens the next answer
Customer understanding compounds over time. Each real interview adds evidence, expands what the simulation can address, and increases confidence where relevant knowledge accumulates.
When a question exposes a gap, Gather autonomously conducts the additional interviews needed and incorporates the findings into the simulation. Research happens in the background, keeping actionable insights front and center without requiring teams to manage recruitment, interviews, or analysis.
This creates a continuous learning cycle: real interviews strengthen simulations, simulations reveal gaps, and fresh research closes them. Teams get immediate answers where the evidence supports them, while Gather builds the understanding needed to answer new questions.
From customer questions to business action
Gather brings together three capabilities:
- AI-moderated research with real people: Access millions of potential participants and conduct interviews that combine quantitative measurement with qualitative depth.
- Company-specific customer simulations: Explore likely customer reactions, test messaging, and inform decisions using a simulation continuously updated with relevant evidence.
- Evidence-backed content: Turn findings into positioning, thought leadership, marketing content, and sales enablement materials.
A marketing team preparing a campaign can ask Emma how different buyer groups might respond to a message. Gather uses the company’s simulation to explore those reactions, conducts fresh interviews where evidence is missing, and helps develop content informed by the findings. That understanding carries forward into the next campaign, product launch, or competitive decision.
Gather’s initial focus is CMOs and marketing teams, with applications across product, sales, and customer success. By making customer understanding available directly in Slack, Gather helps teams bring customer evidence into everyday decisions.
