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:
A Researcher Agent scans, organizes, and contextualizes relevant industry data.
A Surveying Agent processes structured and unstructured responses, detecting patterns in consumer sentiment.
A Trendspotter Agent maps emerging discussions across social platforms, identifying shifts in consumer behavior.
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.
