Use plain English to explore, discover, and utilize your product data—no technical skills required, just pure curiosity and creativity.
Today’s products need to keep pace, evolving in real-time with their users. Teams often find themselves drowning in data yet starved for answers and insights. Decision-makers lack full access to product data and have trouble independently pursuing in-depth inquiries, while analysts are swamped with repetitive queries’ requests.
ClarityQ is a powerful AI--based companion that transforms the way product and business stakeholders interact with product usage data. With simple and instant, natural language based access to product data ClarityQ empowers everyone—from product managers to growth teams—to quickly and confidently make informed decisions.
Transform complex data inquiries into simple conversations. ClarityQ's advanced AI platform understands your product’s context, interprets your intent, and instantly delivers accurate answers—no SQL knowledge required, so you can break free of analytics teams dependencies.
Boost efficiency by reducing back-and-forth communications and repetitive data requests from your analytics team. This means that the analytics team can build queries much faster using ClarityQ, thus freeing time to focus on high-impact projects that drive innovation and growth.
Every answer goes through the inspection of multiple AI agents, powered by our proprietary Agentic AI framework. The AI agents are assigned to test and refine the output, until it gets as accurate as possible. A Confidence Score is then included in the answer so you can decide how to proceed and whether to send it to your data team for a manual inspection through ClarityQ’s Feedback-Loop module.
Experience seamless onboarding that makes it easy to try the ClarityQ solution without a second thought. With intuitive steps, you'll be navigating and maintaining the platform with ease in no time.
Context-Driven data streamlining & mapping
Our proprietary GenAI-based tech performs entity resolution, semantic mapping, and schema change analysis to create a comprehensive Event Catalog enriched with useful, automatically-created metadata.
Company-specific AI model
Using company-specific customizations to the model, including example-based learning, schema linking, and automatic dataset creation ensures an enhanced, tailor-made model performance.
Accuracy as a key to success
For robust quality assurance of its accuracy, ClarityQ employs a range of advanced, academically-supported mechanisms for ensuring the accuracy of its outputs, incorporating various verification and validation techniques as well as ensemble methods for quality assurance.
©2025 ClarityQ. All rights reserved
