Analysis
Multi-Agent Analysis
The heart of it all - understand how Consuma leverages Multi-agent framework to execute research projects
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.