# Anova > Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04. - **Business Profile:** https://optimly.ai/brand/anova - **Dataset:** https://optimly.ai/brand/anova.json - **Markdown:** https://optimly.ai/brand/anova/llms.txt - **Official website:** https://anova.ai - **Slug:** anova - **Categories:** data-analytics-business-intelligence ## Overview - **Tagline:** CASPER differentiates itself as a 'not-so-friendly' AI analyst that self-prompts and interrogates data to find insights (unlike reactive AI/BI tools). It provides context-aware analysis aligned with user goals, uncovers 'what, why, and what next' behind data, and delivers intelligence on autopilot (email, Slack, Teams). It boasts an 9x average ROI, 85% faster speed to intelligence, and 155 hours saved per month, with rapid deployment on existing data stacks (cloud or on-prem data warehouses). Source: Brand's website (https://anova.ai) · 2026-10-04 - **Description:** Anova offers CASPER, a self-prompting AI data analyst that automates SQL queries, data visualization, and report analysis to provide intelligence from data 85% faster and cheaper. It transforms analytics by uncovering 'what, why, and what next' from data through a context-aware and self-prompting engine, delivering intelligence directly to users. Source: Brand's website (https://anova.ai) · 2026-10-04 ## Offerings - **Core capabilities:** - CASPER - a self-prompting AI data analyst that automates data querying - visualization - and analysis. Source: Brand's website (https://anova.ai) · 2026-10-04 - **Pricing:** Not explicitly mentioned. Source: Brand's website (https://anova.ai) · 2026-10-04 ## Audience - **Target industry:** Results-obsessed teams and businesses looking to accelerate data intelligence, reduce time spent on manual data analysis (SQL, reports, visuals), and integrate AI-powered analytics into their internal applications or as white-labeled solutions. Source: Brand's website (https://anova.ai) · 2026-10-04 Page last updated 2026-10-17.