ClarityQ solves common challenges faced by product and analytics teams:
Slow access to insights: Ask questions in plain English - no SQL needed.
Data silos: Connects directly to your data warehouse for full visibility.
Unclear event tracking: Automatically organizes and labels product events.
Overloaded analysts: Automates repetitive queries and frees up analyst time.
Delayed decisions: Access real-time product usage data instantly.
Blocked experimentation: Quickly validate product ideas and hypotheses.
ClarityQ empowers everyone to explore data, uncover insights, and make faster, smarter decisions.
ClarityQ solves one of the biggest data challenges slowing teams down and impacting business performance: getting accurate answers from product, growth, and business data without depending on SQL, dashboards, or analyst time.
Many teams struggle to access their own data, define consistent metrics, and move quickly without bottlenecks. ClarityQ eliminates these roadblocks by acting as an analyst co-pilot - automating repetitive queries, surfacing relevant questions, and turning raw warehouse data into clear, reliable insights through natural language.
It brings structure, context, and speed to every part of the analysis workflow, so product, growth, and analytics teams can make confident decisions - faster, independently, and with full transparency.
ClarityQ connects directly to your data warehouse and uses advanced GenAI to turn raw product, growth, and business data into clear, actionable answers.
Here’s how it works:
Alongside self-serve exploration, ClarityQ also acts as a co-pilot for analysts, helping them move up to 4x faster by automating SQL generation, handling repetitive queries, and accelerating deep dives across product and business metrics.
It’s like having a powerful analyst embedded in every team - always on, always ready.
ClarityQ is for any team that needs fast, accurate answers from product, growth, and business data - without relying on SQL or dashboards. It’s used by SaaS platforms, marketplaces, consumer apps, gaming, e-commerce, and fintech companies to empower product managers, growth teams, analysts, and executives to move faster and make smarter decisions.
Whether you're in a small startup or a large enterprise, ClarityQ helps technical and non-technical users alike - making analysts up to 4x more productive and enabling cross-functional teams to explore data confidently, reduce back-and-forth, and uncover insights through natural-language access to live data.
Faster, more confident decision-making - Product managers, analytics, growth teams, and executives can move faster with self-serve data answers and insights.
4x analyst productivity - Analysts use ClarityQ to accelerate SQL generation, automate repetitive queries, and free time for deeper analysis and strategy.
Fewer ad-hoc data requests - ClarityQ handles daily data questions across product, growth, and business metrics, reducing the load on data teams and helping them focus on high-impact work.
Organization-wide data access - Makes data accessible to everyone, not just technical users, while preserving accuracy and trust.
Yes! ClarityQ is designed for non-technical users who want answers from their data without writing SQL or relying on analysts. You can ask questions in plain English - just like you would in a conversation - and ClarityQ will return accurate, easy-to-understand answers with charts, summaries, and insights.
Whether you're a product manager, growth marketer, UX designer, or executive, ClarityQ makes it simple to explore usage metrics, funnels, and user behavior - all without needing to understand complex data structures.
Absolutely. ClarityQ supports a wide range of analysis types-from product usage and user behavior to growth metrics, revenue performance, and custom business KPIs.
You can explore feature adoption, funnel drop-offs, activation rates, retention curves, user segmentation, conversion paths, and monetization trends- just by asking in plain language.
Yes. ClarityQ lets you view the SQL generated behind every answer, so you can understand exactly how the data was queried. This is especially helpful for analysts or technical users who want to verify logic, debug issues, or reuse the query elsewhere.
You can review, copy, and even customize the SQL- giving you full visibility and control without needing to write it from scratch.
Yes. ClarityQ is designed for anyone - even if you don’t know your data structure. It uses an autonomous AI agent that applies context understanding and reasoning to interpret your question in plain English, break it into subtasks, and call the right tools to retrieve accurate answers.
You don’t need to know event names, columns, or schema logic. ClarityQ maps your intent to the right tables, metrics, and properties in your data warehouse, using semantic understanding and long-horizon reasoning. You get real-time answers with clear charts, summaries, and insights - no SQL or setup required.
Yes. ClarityQ suggests relevant questions based on your role, data context, and recent activity so you don’t have to start from scratch. Its autonomous AI agent uses context understanding to surface smart, real-time suggestions across areas like engagement, feature adoption, revenue, and more.
ClarityQ acts like a built-in analyst, helping you ask better questions and uncover what matters most.
ClarityQ is built to handle ambiguity. It interprets your intent, asks for clarification if needed, and flags any errors like unknown event names while suggesting fixes based on your data. You don’t need perfect phrasing to get to the right answer.
Yes. ClarityQ lets you track feature usage over time, spot drop-offs, compare user groups, and ask questions like “How did user engagement with the onboarding flow change between version 2.1 and 2.2?” to get instant, visual answers. It also helps detect unusual patterns in your data such as sudden drops in engagement or unexpected shifts in user behavior, so you can quickly act on what matters.
ClarityQ delivers highly accurate answers by translating natural language into precise SQL queries, grounded in your actual data.
Here’s how we ensure such accuracy:
Deep, structured understanding of your data - ClarityQ builds a semantic map of your tables, events, metrics and segments through our proprietary technology, enabling precise, context-aware answers that generic AI tools can’t provide
Transparent SQL with built-in explainability - every answer includes the generated SQL and a plain-English explanation of how it was constructed, so users can confidently validate logic, spot issues, and refine questions in real time
Continuous improvement loop through user feedback and analysts reviews
Autonomous AI agent validation system - powered by advanced reasoning and multiple specialized tools, ClarityQ verifies every answer using both well-known and proprietary text-to-SQL techniques
Feedback-driven accuracy loop – AI doesn't work like magic. Human feedback is built into our product loop. During onboarding and beyond, we quickly learn from user corrections and improve performance in real time. The heavy lifting is on us - but your feedback makes ClarityQ smarter, faster, and more accurate for your team.
While no system is 100% perfect, ClarityQ is built to minimize errors, offer full transparency, and enable fast course correction - just like working with a sharp, collaborative analyst.
ClarityQ ensures every answer is accurate, trustworthy, and grounded in your actual data. Here's how:
Deep, structured understanding of your data - ClarityQ's autonomous AI agent builds a semantic map of your tables, events, metrics and segments through context understanding and engineering, enabling precise, context-aware answers that generic AI tools can’t provide
Transparent SQL with built-in explainability - every answer includes the generated SQL and a plain-English explanation of how it was constructed, so users can confidently validate logic, spot issues, and refine questions in real time
Continuous improvement loop through user feedback and analysts reviews
Autonomous AI agent validation system - powered by advanced reasoning and multiple specialized tools, ClarityQ verifies every answer using both well-known and proprietary text-to-SQL techniques
Feedback-driven accuracy loop - AI doesn't work like magic. Human feedback is built into our product loop. During onboarding and beyond, we quickly learn from user corrections and improve performance in real time. The heavy lifting is on us - but your feedback makes ClarityQ smarter, faster, and more accurate for your team.
Together, these mechanisms allow ClarityQ to deliver answers your team can trust, with the transparency and flexibility to adjust as needed.
ClarityQ connects directly to your existing cloud data warehouse with no data duplication required. We currently support BigQuery, Snowflake, Redshift, and Postgres, with more integrations coming soon.
Setup is fast and secure. ClarityQ uses read-only access and runs all queries within your environment. Your data stays where it is, and ClarityQ does not copy or store it. We also provide clear integration guides to make onboarding simple for your team.
ClarityQ can analyze virtually any data stored in your data warehouse, from product usage events and user behavior to business metrics and custom datasets. The platform is designed with particular expertise in understanding product data, helping teams gain insights from user interactions, feature adoption, and product performance metrics.
ClarityQ 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.
Yes. You have complete control over what data ClarityQ can access. You decide which datasets, tables, and specific fields to make available for analysis. ClarityQ connects with read only access and only analyzes the data you explicitly allow - nothing is shared without your permission.
Yes. ClarityQ automatically learns and understands your product’s unique language, so you can ask questions in plain English without knowing internal data labels or structures. Behind the scenes, ClarityQ builds and maintains a smart knowledge layer-powered by an event catalog, table catalog, and semantic catalog-to map your data into meaningful concepts like metrics, features, and user segments.
This enables ClarityQ to interpret your intent, resolve ambiguities, and return accurate, context-aware answers-making data exploration seamless for everyone on your team.
Yes. ClarityQ is built with enterprise-grade security and is SOC 2 certified and GDPR compliant, ensuring we meet strict standards for data privacy, availability, and integrity. ClarityQ connects directly to your data warehouse without copying or storing your data-so your information stays within your environment.
We follow industry best practices for encryption, authentication, and access control. ClarityQ also respects your existing data warehouse permissions and supports role-based access, so you stay in full control of who can access what.
For enterprise evaluations, we’re happy to share our security documentation and work with your compliance team as needed.
ClarityQ applies enterprise-grade security standards to protect your data. We use encryption in transit and at rest, enforce role-based access controls, and continuously monitor our systems for security threats. Our platform follows industry best practices and is governed by a comprehensive internal security policy designed to ensure data confidentiality, integrity, and compliance.
For user deletion requests or other data privacy needs, please contact our support team at support@clarityq.ai and we will handle the request promptly according to applicable privacy regulations.
Of course, we love visuals! ClarityQ can generate visual outputs like charts, funnels, and retention curves - directly from your data, using natural language questions.
When a user asks a question where it makes sense to show the results visually, ClarityQ not only generates the SQL but also selects the most appropriate chart type automatically. Visuals are rendered in-platform and can be shared via secure links or exported into your existing workflows.
Questions are asked directly within the ClarityQ platform. You can easily share any ClarityQ insight via a secure link, making it simple to post results in tools like Slack, Notion, or any other internal tool. This makes it easy to bring trusted data answers into team conversations and decision-making workflows - wherever they happen.
Sure! At ClarityQ, we believe collaboration is key. That’s why we make it easy to share entire sessions and insights via secure links, with full visibility into questions and changes across the team.
Every answer includes the generated SQL and explanation so analysts can review, refine, and validate as needed. Data teams can also edit queries directly in the platform—maintaining transparency and control.
Yes. ClarityQ reduces reliance on static dashboards by letting teams ask questions in plain English and get real-time answers - with charts, trends, and breakdowns. Instead of maintaining dozens of dashboards for different teams or scenarios, users can explore data on demand, reducing duplication and making insights easier to access and share
ClarityQ offers transparent, pay-as-you-go pricing across all tiers - Starter, Business, and Enterprise - so you can scale at your own pace. Pricing is based on the number of tables connected to your data warehouse, with no hidden fees or rigid contracts. Whether you're a growing startup or an established enterprise, you only pay for what you use.
Yes. ClarityQ helps generate ROI by reducing time-to-insight, cutting down on repetitive analyst requests, and accelerating data-informed decisions across teams. It acts as a co-pilot for data teams, helping analysts move up to 4x faster by automating routine queries, surfacing relevant questions, and streamlining exploration. Teams spend less time building dashboards or writing SQL, and more time acting on insights.
It also boosts key product KPIs - like activation, retention, and conversion - by making it easy to identify friction points and optimize user behavior, directly impacting growth and revenue.
ClarityQ is built to empower - not replace - data teams. It reduces the volume of ad-hoc requests by letting product managers and business users ask questions in plain English and get instant answers from live data.
At the same time, analysts use ClarityQ to accelerate repetitive or complex queries, boost productivity by up to 4x, and spend more time on high-impact, strategic work. ClarityQ acts as a co-pilot for analysts - automating tedious tasks like SQL generation and question translation.
While some teams may grow more efficiently or shift analyst focus, ClarityQ is not designed to cut headcount. It’s a powerful augmentation tool that helps data teams scale their impact across the organization.
While ChatGPT is a powerful general-purpose AI, it isn’t designed to work directly with your product data. It can’t connect to your data warehouse, understand your event structure, or generate accurate queries based on your specific schema.
ClarityQ goes far beyond generic AI. It’s purpose-built for analytics and deeply understands the context of your product and business data. With advanced context understanding and context engineering, ClarityQ interprets questions in plain language, maps them to your actual schema, and generates accurate, relevant answers - backed by live data.
It connects securely to your warehouse, understands your events, metrics, and segments, and returns precise answers - complete with charts, filters, and definitions. It also includes a semantic catalog, data governance controls, and tailored AI-powered suggestions.
In short, ClarityQ gives you the power of GenAI - but grounded in your actual data and context, not generic outputs.
ClarityQ takes a fundamentally different approach from tools like Mixpanel and Amplitude. While those tools require custom tracking plans, ongoing instrumentation, and dashboard building, ClarityQ connects directly to your existing data warehouse - no duplicated data, no vendor lock-in.
Instead of building static reports, you can ask questions in plain English and get real-time answers with visualizations and insights. ClarityQ understands your product’s unique metrics, features, and segments through a smart semantic catalog, making it easy for anyone on the team to explore the data without technical skills.
Unlike traditional tools, ClarityQ transforms your data warehouse into a dynamic, AI-powered product analytics engine, built for speed, flexibility, and full data ownership.
ClarityQ connects directly to your existing data warehouse and works alongside BI tools like Looker and Tableau to ensure alignment with your dashboards and metrics. But instead of relying on predefined dashboards or manual SQL, ClarityQ lets anyone ask questions in natural language and get instant, accurate answers.
It also helps teams understand the semantics of their data - making event names, metrics, and segments easier to explore, without needing deep technical knowledge. ClarityQ reduces repetitive requests to analysts, accelerates insights, and empowers teams to make faster, data-driven decisions.
