15-09-2025 | ThoughtSpot | Test & Measurement
ThoughtSpot, the Agentic Analytics Platform company, has announced a major platform update built to break through the rigid boundaries of legacy BI tools, boundaries that have long constrained access, trust, and impact in analytics. As every company becomes a data company, the new platform enables teams to get work done, monetise their data, and build intelligent applications by embedding agentic intelligence into everyday apps and workflows that businesses rely on. Powered by its most advanced AI agent yet, Spotter 3, the platform unifies all company data, from structured data stored in databases to unstructured data in apps such as Slack, Salesforce, Jira, and more, delivering contextual insights instantly. With flexible embedding options via SDK, API, or MCP, the company enables teams to bring this intelligence into their apps and workflows, helping end-users make smarter decisions wherever they work.
"The promise of data has always been to drive smarter decisions. Today's enterprise can no longer afford to be constrained by the rigid boundaries of legacy BI," said Francois Lopitaux, SVP of Product Management at ThoughtSpot. "With these innovations across our platform, we're making business intelligence truly boundaryless, embedding agentic intelligence not just into an enterprise product, but across any workflows, applications, and entire data ecosystem. AI-powered analytics, done right, can unlock more business value in less time with fewer resources. This is the promise of analytics. It's intuitive, it's trusted, and it's everywhere."
This transformation is powered by key innovations across the ThoughtSpot platform that pave the way for the autonomous enterprise. By removing the boundaries between structured and unstructured data, as well as between analytics and action, the company makes intelligence more accessible, actionable, and trustworthy than ever before.
The company redefines how modern products deliver intelligence, moving beyond traditional embedded BI to deeply embedded, agentic experiences that work wherever people work. Through four core pillars, product leaders are empowered to deliver boundaryless analytics that are intelligent, feel native, drive workflows, and scale with confidence.
Spotter 3 is the latest evolution of the company's AI agent for analytics, and the smartest agent yet. To make confident, data-driven decisions at scale, business leaders need full business context on their insights and a trusted research partner for end-to-end analysis and reporting. Spotter 3's latest capabilities bring contextual insights to life for everyone across the organisation.
"Empowering our teams and customers with timely, actionable insights is critical to our mission," said Aria Moshari, director of Software Engineering, Verisk. "ThoughtSpot's latest innovations, especially advancements in Spotter and its easy embedding capabilities, are transforming how we deliver intelligence across our products. The seamless integration of structured data with AI-powered analysis, embedded directly into our workflows, unlocks an exciting future for analytics and accelerates time-to-market delivery for our customers."
"ThoughtSpot's latest release addresses two critical challenges I'm hearing consistently from enterprise clients: the struggle to make embedded analytics feel truly native rather than bolted-on, and the growing pressure to deliver AI capabilities that go beyond basic chatbots," said Donald Farmer, principal, TreeHive Strategy. "ThoughtSpot Embedded tackles both issues head-on with a comprehensive SDK for integration, Theme Builder for customisation and Spotter 3. I think Research Mode for Spotter, in particular, represents a meaningful evolution in analytical AI towards the multi-step reasoning that advanced users expect from the best AI implementations."
These innovations underscore the company's mission to change how organisations harness AI and analytics fundamentally. By placing intuitive, agentic intelligence everywhere, ThoughtSpot empowers business users, data leaders, product leaders, and developers alike to transform how decisions are made and executed at scale.