Last updated: November 9, 2026
ClarityQ is an end-to-end agentic data analytics platform that lets business and data teams ask data questions in plain language and get accurate answers, AI-native dashboards and automated reports in minutes. It makes analysts up to 6X more efficient and keeps business users close to the data, so they can make decisions with the full picture and without delays. Our core advantage is an automatically built and maintained Context Layer that captures each company's business definitions and logic, so answers stay reliable on complex, real-world data over time - and teams are live in days, not weeks.
Building on this foundation, ClarityQ is now rolling out proactive insights that automatically surface emerging issues, anomalies and notable trends, and autonomous agents that recommend and carry out actions with human approval.
ClarityQ runs on top of the customer's existing data warehouse. It does not copy or move the data. It connects with read-only access, maps the schema, and builds a governed Context Layer of tables, events, metrics and business definitions that every answer is grounded in.
Ask Me Anything: a user types a business question in plain language. The agent plans the analysis, writes and runs the SQL, validates the result against the Context Layer, and returns the answer with the chart, the SQL and the reasoning.
Context Layer: a governed semantic layer that ClarityQ builds automatically from the warehouse schema, BI definitions, data dictionaries and query history, then keeps current as the data changes. Every change is audited, versioned and approved before it goes live.
Dashboards: any question can become a live, interactive dashboard that refreshes from the warehouse and can be edited by chat.
Automated Tasks: any question or dashboard can be scheduled to run daily, weekly or monthly and delivered to email, Slack or in-app.
Proactive insights and autonomous agents: ClarityQ surfaces emerging issues, anomalies and notable trends without being asked, and agents recommend and carry out actions with human approval.
Skills: reusable, pre-approved analytical workflows (for example root-cause analysis or cohort projection) so the same question is answered the same way every time.
Memory: ClarityQ remembers instructions, corrections and preferences across conversations.
Analyst loop: any answer can be sent to an analyst for review, and the analyst's correction feeds back into the Context Layer.
File upload: users can upload files to a single session or to the Context Layer, and download results as presentations or PDFs.
MCP server and API: ClarityQ can be used from Claude, ChatGPT, Cursor and other AI assistants through its MCP server, and from code through its public API. It also connects to tools such as Notion through MCP connectors.
ClarityQ is used by gaming studios, SaaS companies, e-commerce brands and consumer apps. Inside those companies it is used by data and analytics teams, product managers, growth and user-acquisition teams, marketing, customer success and leadership. Customers include CrazyLabs, Softonic, Spiral Interactive, Zaffic and App Generation. It fits a 20-person startup and a 5,000-person company the same way: connect the warehouse, approve definitions, start asking.
ClarityQ connects to Google BigQuery, Snowflake, Amazon Redshift, Databricks, PostgreSQL, Amazon Athena, Trino, Alibaba Cloud MaxCompute and more, with read-only access. It imports existing metric definitions from BI tools such as Tableau and Looker, from dbt and other transformation tools, and from data dictionaries and query history. It delivers results to Slack and email, and exposes an MCP server and a public API.
ClarityQ offers free access to try it first, then pay-as-you-go pricing across Starter, Business and Enterprise plans, billed monthly with no rigid contracts. Pricing has two components: a data operations fee based on the tables connected to the warehouse, and ClarityQ Tokens (CQT) for usage. Customers pay only for what they use. Teams are live in days, not weeks.
ClarityQ is SOC 2 certified and GDPR compliant. It connects to the warehouse with read-only access and never writes to production data. Data is encrypted in transit and at rest. Access is role-based and respects the customer's existing warehouse permissions, so each user sees only the data they are authorized to query. Every answer shows the SQL it ran, and all activity is logged with audit trails.
ClarityQ was founded in October 2023 by Orly Shoavi (CEO), Ronnie Sternberg (CBO) and Adi Ashkenazi (CTO). The same team previously founded SafeDK, acquired by AppLovin in 2019, and then ran AppLovin Israel. ClarityQ Inc is a US company headquartered in San Francisco, with an R&D subsidiary in Israel. The company has 13 employees and has raised $7.6 million. The team are alumni of VMware, AppLovin, monday.com, Meta, Playtika, Payoneer and Intel. Contact: contact@clarityq.ai.
ClarityQ is the agentic analytics platform that turns a plain-language question into a verified answer, a live dashboard or an automated report, grounded in a governed Context Layer built on the company's own data warehouse.
