What data challenges does ClarityQ help solve?

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.

Can ClarityQ generate charts, funnels, or retention curves?

Of course, we love visuals! ClarityQ can generate visual outputs like charts, funnels, and retention curves - directly from your data, using natural language questions.

Can ClarityQ be used for product, user, growth, and revenue analysis?

Absolutely. ClarityQ supports a wide range of analysis types - from product usage and user behavior to growth metrics, revenue performance, and custom business KPIs.

Is ClarityQ secure and compliant with data protection standards?

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.

How is ClarityQ priced?

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 and overall usage, with no hidden fees or rigid contracts. Whether you're a startup or an enterprise, you only pay for what you use.

What data sources does ClarityQ support and how does it integrate?

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.

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.

Mark Shohat

Head of Business Analysis, Spiral Interactive

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Built for the data you actually have

No data-modeling project. No semantic-layer rebuild. No "clean it first." ClarityQ understands your messy reality and reasons across sources.

Auto-Maintained Context Layer.
Always current. Treated like code.

ClarityQ builds and maintains your Context Layer, Semantic Layer and Data-Catalogs: Your business logic, metrics, rules, table connections, in-app events, and more - so every answer is based on the right, most current data, even in the messiest reality.
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A change management engine keeps that context in order: it proposes additions and fixes, resolves duplicates and inconsistencies, and protects the health of your Context Layer over time. Every change is tracked and reviewable, like version control for your business context. Read more

Cross-Source by design
One question. Every source.

Combine sales + finance, revenue + marketing spend, product in a single ask. ClarityQ analyzes trends across different functions.

Interactive agent.
Asks back when it matters.

When there’s ambiguity - duplicate metrics, overlapping definitions, missing periods - ClarityQ surfaces choices instead of guessing silently.