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Agentic search is an AI-driven search approach where the system actively interprets intent, explores options, and refines results on the user’s behalf. Instead of returning static matches, it reasons through the problem to surface better outcomes.

Traditional search reacts to keywords and filters. Agentic search proactively guides discovery by adjusting queries, testing assumptions, and narrowing results based on inferred intent.

Agentic search reduces manual iteration by automating exploration and refinement. It helps users move from vague ideas to precise results faster.

Complex, open-ended research problems benefit most, especially when criteria are unclear or evolving. This includes market research, company discovery, and opportunity mapping.

Natural language search translates queries into results. Agentic search goes further by reasoning, iterating, and making decisions during the search process itself.

Grata Agentic Search is an AI-powered search experience designed for M&A and private market research. It actively interprets intent and explores the market to surface relevant companies and insights.

Grata’s Agentic Search uses AI to guide discovery by refining queries, applying context, and uncovering opportunities users may not explicitly search for. The system thinks ahead rather than waiting for exact inputs.

Grata Agentic Search does not rely on rigid keywords or static filters. It adapts to intent, understands context, and continuously improves result relevance during exploration.

Grata Agentic Search is built for dealmakers, investors, and strategists working in private markets. It supports sourcing, market mapping, and early diligence workflows.

The platform reduces time spent refining searches and reviewing irrelevant results. By guiding discovery and prioritizing relevance, it helps teams reach high-quality targets faster.