GenAI Agent for Product Analytics 
Just Ask Anything
Tailored to games, apps, and SaaS products, ClarityQ is a virtual analytics assistant that lets anyone in the team get a detailed answer to any question, in real time
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It's 2025. Dashboards or manual SQL overhead will soon vanish
 
Real-time answers - Just like asking a human data analyst  
General GenAI models can’t answer detailed usage-behavior questions, and most dashboards aren’t built for the depth that is needed.

We built ClarityQ to solve this challenge, eliminate manual SQL overhead, and cut off reporting pipelines

While your app, game, or SaaS analytics tools can continue to serve some of your needs- ClarityQ is there to amplify your data analytics team and supercharge their efficiency
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Uncompromised accuracy - We Built a Unique Validation engine
Powered by our agentic AI technology, our multi-agent validation engine tackles GenAI hallucinations and ensures integrity. Still want final validation? No problem, send ClarityQ’s answer and SQL query for a manual review by your data analytics team through our easy-to-use Feedback-Loop module.
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Minimized Queue, deep insights on Demand
Product and growth teams can now independently explore the insights they need in real time.

Analysts, on the other hand, can review or build SQL queries 100 times faster and much more accurately, as ClarityQ is built to learn the unique context of the app - Data stack, in-app events, triggers and more.

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Bring Order to Your In-App analytics events
Eliminate messy, outdated event documentation files with a centralized automatic event catalog that contains descriptions, volumes, versions, parameters, and properties—all from your real-time data for maximum accuracy and relevance.
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In today's fast-paced world, management teams often face decision complexity—overwhelmed by data overload, siloed information, and heavy reliance on technical teams.

ClarityQ’s real-time, natural language analytics cut through the clutter, answering the key questions that drive smarter strategies, boost agility, and streamline operations.
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Data-driven product development is essential for success, but data resources are often limited and costly, leading to delayed decisions or choices made without sufficient data.

ClarityQ’s NLQ-based analytics platform democratizes data access, reducing reliance on analysts and empowering product teams to explore and analyze data without the need for extensive technical expertise. It bridges the gap between data and product, leading to enhanced user experiences and improved products.

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Product Teams

Data teams often juggle repetitive tasks instead of strategic work. Complex SQL and multi-channel data aggregation hinder efficient analysis, while dashboards often fall short.

ClarityQ takes the load of repetitive reporting tasks while keeping teams in control, through our advanced Feedback Loop module. It handles tedious tasks but ensures data governance and accuracy. Moreover, ClarityQ's innovative AI technology, with its contextual understanding of product data, enables analysts to build SQL queries faster and more accurately, focusing on research essence rather than technicalities.

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Data Teams

Growth teams struggle to combine multi-channel data for a holistic view of performance. Fragmented data and limited dashboards hinder trend identification, optimization impact measurement, and decision-making.

ClarityQ's multi-channel approach connects product behavior, business metrics, and more, revealing links between product usage and revenue growth. This enables quick identification of key drivers for acquisition, retention, LTV, and growth, without relying on data teams or struggling to uncover hidden game-changing insights.

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Growth Teams

In today's fast-paced world, management teams often face decision complexity—overwhelmed by data overload, siloed information, and heavy reliance on technical teams.

ClarityQ’s real-time, natural language analytics cut through the clutter, answering the key questions that drive smarter strategies, boost agility, and streamline operations.

Learn more
Management Teams