Dot

Dot is an AI data analyst that answers questions about a company's data in chat. Team members ask in Slack, Microsoft Teams, email or the web app, and Dot queries the connected sources and replies with the result, along with the query and sources behind it. The product covers several jobs beyond one off questions. Root cause analysis explains why a metric moved, such as a drop in conversion, by breaking the change down across dimensions. Automated reports and alerts send a message only when a threshold is crossed. A context agent lets data teams teach Dot business definitions, rules and examples, for instance that revenue excludes refunds, with changes reviewed and approved before they are merged. The vendor reports benchmarking on more than 450 financial analysis tasks from Adyen and says accuracy can be measured on questions a team trusts. Dot targets data teams and the business users who depend on them. On security, the vendor lists SOC 2 Type II, GDPR alignment and zero data retention, with every query traced in a history. Pricing is usage based and runs on credits. The Free plan costs $0 and includes 300 one time credits with access to all Pro features. Structured data on the pricing page lists Pro at 180 and Team at 720 US dollars, and annual billing saves 10 percent.