# ClarityQ

> ClarityQ is an agentic GenAI data-analysis platform that lets product, business, and data teams ask any question about their data in plain English and get instant, accurate answers with visualizations — backed by a patent-pending semantic context layer that understands proprietary in-app events and product data.

ClarityQ acts as an agentic co-pilot for data analysts and eliminates data bottlenecks for business users. It connects read-only to your existing data warehouse (Snowflake, BigQuery, Redshift, Postgres) and uses a multi-agent architecture — with a validation engine — to autonomously plan analyses, generate SQL, run queries against billions of events, and return verified answers with the SQL and step-by-step reasoning exposed for full transparency.

Founded in 2024 by Orly Shoavi (CEO), Ronnie Sternberg (CBO), and Adi Ashkenazi (CTO) — repeat founders whose previous companies were acquired by AppLovin, VMware, and AVG. $6.6M raised to date. SOC2 and GDPR compliant.

Primary users: SaaS, web, mobile app, and gaming companies. Public customers include CrazyLabs, Softonic, Appgeneration, Zaffic, and Spiral Interactive.

## Core pages

- [Home](https://www.clarityq.ai/): Overview of the platform — natural-language analytics, the co-pilot positioning, customer testimonials.
- [About](https://www.clarityq.ai/about): Founders, company story, mission to democratize data-driven decision-making.
- [Contact](https://www.clarityq.ai/contact-us): Get in touch with the ClarityQ team.
- [Book a demo](https://www.clarityq.ai/book-a-demo): Schedule a live walkthrough on your own data.

## Solutions

- [Ask Me Anything](https://www.clarityq.ai/solutions/ask-me-anything): The natural-language query interface — ask any question about product, business, operations, marketing, or growth metrics and get answers in plain language with SQL and reasoning shown.
- [Semantic Context Layer](https://www.clarityq.ai/solutions/semantic-context-layer): Events, Data, and Semantic Catalogs that turn scattered tables and raw events into structured, AI-ready assets — metrics, segments, and dimensions with full context. Includes automatic builders that bootstrap the semantic layer from your existing schema, a library of reusable skills (pre-built analytical capabilities for common gaming and SaaS use cases), and persistent memory so the agent retains context, definitions, and prior decisions across sessions.

## By team

- [Data Teams](https://www.clarityq.ai/by-teams/data): How analysts use ClarityQ to generate complex SQL from natural language, run deep-dive analyses, and keep governance and accuracy via the Feedback Loop module.
- [Business Teams](https://www.clarityq.ai/by-teams/business): How growth, marketing, and revenue teams combine multi-channel data — product behavior, business metrics, marketing performance — to surface drivers of acquisition, retention, LTV, and growth.
- [Product Teams](https://www.clarityq.ai/by-teams/product): How PMs explore user behavior and validate product decisions without waiting on data teams.
- [Management Teams](https://www.clarityq.ai/by-teams/management): How executives get real-time, plain-language answers to strategic questions without depending on technical teams.

## Resources

- [Customer Stories](https://get.clarityq.ai/customer-stories): Case studies from gaming and SaaS customers — including CrazyLabs (querying billions of events with 5× efficiency gains), Softonic, Appgeneration, Zaffic, and Spiral Interactive.
- [FAQ](https://www.clarityq.ai/faq): Common questions about the platform, security, setup, and integrations.
- [Integrations](https://www.clarityq.ai/integrations): Supported data warehouses and tools — Snowflake, BigQuery, Amazon Redshift, Postgres, and more.

## Company

- [Careers](https://get.clarityq.ai/careers): Open roles at ClarityQ.
- [LinkedIn](https://www.linkedin.com/company/clarityq): Company updates and announcements.
- [X / Twitter](https://x.com/ClarityQAI): Product news and posts.

## Legal

- [Terms of Use](https://www.clarityq.ai/website-terms-of-use)
- [Privacy Policy](https://www.clarityq.ai/privacy-policy)

## Key facts

- Category: Agentic analytics / GenAI business intelligence / natural-language data analysis / text-to-SQL platform.
- Differentiator: Patent-pending contextual understanding of proprietary product data and events — not just generic text-to-SQL. Multi-agent validation engine for accuracy. Full transparency: every answer ships with the SQL and logic used.
- Setup: Read-only connection to the customer's data warehouse. Onboarding designed to be completed in days.
- Compliance: SOC2, GDPR.
- Funding: $6.6M raised to date, backed by leading VCs and angel investors.
- Founders' prior exits: AppLovin, VMware, AVG.