ClarityQ agentic analytics is powered by a proprietary stack that combines the latest in GenAI, Agentic AI, natural language understanding, and analytics infrastructure. Key technologies include:

Large Language Models (LLMs) - ClarityQ continuously benchmarks and selects the best-performing LLM for each task and agent, ensuring optimal performance across data understanding, question interpretation, SQL generation, explanation, and a wide range of other specialized tasks throughout the data analysis pipeline.

Text-to-SQL Engine - Our custom engine is optimized for product and data analytics, built on a mix of known frameworks and proprietary tuning.

Semantic Layer - ClarityQ builds a deep, structured understanding of your data by combining schema analysis, our proprietary Table, Event, and semantic Catalogs, and integrations with your current analytics tools. It interprets dashboard logic, ETLs, and metrics, and enriches this with metadata extraction, query history, naming patterns, and inference from user interactions to build a rich semantic model of your organization's data.

Autonomous AI Agent - A single, intelligent agent that can call multiple specialized tools to handle every step of the analysis pipeline - from interpreting questions to generating, validating, and explaining queries - even breaking complex questions into smaller steps and combining them into one accurate answer.

Together, these technologies turn ClarityQ into a powerful product and data analytics platform, built to understand your data, speak your language, and deliver accurate, explainable answers in seconds.

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To learn more about how ClarityQ works, please visit our product page