At Consuma AI, our research process is powered by a multi-agent framework—a system where specialized AI agents work together, each handling a distinct aspect of market research.

How It Works

Instead of a single AI trying to do everything, we deploy multiple AI agents, each with a focused role. For example:

• Brief Parsing Agent – Understands your brief, identifies key questions, and sets the research direction.

• Smart Scraper – Gathers both external (social media, marketplaces, search trends, news) and internal data.

• Data Analysis Agent – Cleans, processes, and analyzes the data to extract meaningful insights.

• Formatting Agent – Structures the findings into a clear, presentation-ready PPT or PDF report.

These agents work in parallel, exchanging data and refining their analyses based on shared insights. If the Sentiment Agent detects a strong negative shift in consumer feedback, the Context Agent jumps in to analyze the root cause by connecting it with qualitative data from surveys or reviews.

What It Does

• Breaks down complex data sources into specialized tasks, ensuring accuracy.

• Enables contextual cross-validation—linking social trends with structured survey insights.

• Speeds up research cycles by automating pattern detection, sentiment scoring, and thematic clustering.