ThoughtSpot

ThoughtSpot has repositioned around agentic analytics, and its argument is stated bluntly enough to evaluate: traditional analytics are failing modern teams, and dashboards fall short of what product teams now need. The company's answer is a set of named agents rather than a report builder. Spotter is the AI analyst, SpotterModel handles automated semantic modelling, SpotterViz generates dashboards from data directly, SpotterCode provides AI-assisted coding, and AgentSpot ties them together.

The platform underneath supplies what those agents need to be trustworthy. A semantic layer defines the business meaning of data, with automated semantic modelling reducing the setup work that this normally requires. AI-augmented dashboards, automated insights and actionable insights cover the range from surfacing a finding to acting on it, and the any data anywhere positioning covers source flexibility. Enterprise analytics and embedded analytics are offered as distinct products, with Analyst Studio for deeper technical work.

Integrations are the most practically interesting part of the current offering, because they put analytics where decisions actually get discussed rather than requiring people to visit a BI tool. ThoughtSpot runs in Slack, in OpenAI, in Claude, in Google Slides, in Salesforce and on mobile. Solutions are organised by role, covering business leaders, data leaders, data analysts, product leaders, developers and sales operations, and by industry across financial services, retail and consumer goods, healthcare and life sciences, technology and software, supply chain, media and telecom, with configurations for both startups and enterprises. Pricing is published on a mix of per-user and usage-based models, and the interface is available in English, German, Japanese and French.