Trusted AI needs more than raw data. It needs to understand your business logic, your metrics, and how your team actually works with the data. ClarityQ's Context Layer maps all of it automatically - tables, events, metrics, and skills - turning even messy data into a governed foundation, in days.
ClarityQ has been a real game-changer for us! It lets our entire gaming team work with data at scale. We’re querying billions of events and dozens of tables, with in-depth analysis delivered in seconds. It empowers both analysts and game owners with 5× greater efficiency and real data superpowers - saving countless hours of analysis and enabling faster, better decisions.
Co-founder & COO, CrazyLabs
ClarityQ became a critical decision layer for us, turning complex behavioral data into clear actions. We identified friction points in our onboarding and loyalty mechanics, which led us to remove low-impact features and focus on real revenue growth.
Director of Product, Zaffic
ClarityQ (or "Clara" as we refer to it) functions as a co-pilot analyst providing me and other stakeholders (including users who are resistant to use the standard reporting tools available in the company) with business insights via very friendly and convenient interface and visual outputs.
Head of Business Analysis, Spiral Interactive
Thanks to the ClarityQ Agent and strong team support, we found the perfect analysis wingman. It has significantly sped up our deep-dive analyses, is expected to cut analysis time by at least half and has freed up time to focus more on strategic work.
Data Analyst, Softonic
There's no single 'truth' without a governed and dynamic context layer or without messy data coping strategies.
ClarityQ is specifically designed to overcome inconsistencies, duplications and other forms of unhealthy data. In addition, it is built to automatically establish a unified, consistent and healthy context layer, consistent with your existing tools (such as Tablehu, Looker or alike) - Eliminating hallucinations while freeing you from endless manual overhead.
There's no single 'truth' without a governed and dynamic context layer or without messy data coping strategies.
ClarityQ is specifically designed to overcome inconsistencies, duplications and other forms of unhealthy data. In addition, it is built to automatically establish a unified, consistent and healthy context layer, consistent with your existing tools (such as Tablehu, Looker or alike) - Eliminating hallucinations while freeing you from endless manual overhead.
There's no single 'truth' without a governed and dynamic context layer or without messy data coping strategies.
ClarityQ is specifically designed to overcome inconsistencies, duplications and other forms of unhealthy data. In addition, it is built to automatically establish a unified, consistent and healthy context layer, consistent with your existing tools (such as Tablehu, Looker or alike) - Eliminating hallucinations while freeing you from endless manual overhead.
There's no single 'truth' without a governed and dynamic context layer or without messy data coping strategies.
ClarityQ is specifically designed to overcome inconsistencies, duplications and other forms of unhealthy data. In addition, it is built to automatically establish a unified, consistent and healthy context layer, consistent with your existing tools (such as Tablehu, Looker or alike) - Eliminating hallucinations while freeing you from endless manual overhead.
Let ClarityQ handle the complex queries, ad hoc requests and reporting bottlenecks, while you reclaim your role as an innovator, focusing on driving strategic initiatives that matter.
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.
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.
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.
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.
Let ClarityQ handle the complex queries, ad hoc requests and reporting bottlenecks, while you reclaim your role as an innovator, focusing on driving strategic initiatives that matter.
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.
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.
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.
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.
