Systems | Development | Analytics | API | Testing

Talk to anyone who works with data, and you’ll hear a familiar story: Data engineers are still bogged down cleaning, prepping, and untangling semantic models. Analysts are churning out dashboard after dashboard, with little time left for real analysis. Developers are hand-coding embedded analytics, turning every new feature into a months-long project. And business users are stuck in line, waiting for answers.

Today, we are unveiling a new ThoughtSpot. Not because we needed a new logo. Because our brand needed to catch up to the company we already are. If you know ThoughtSpot, you know us as more than dashboards or static analytics. You know us as the place where every question has an actionable answer. We are an AI company. We lead in Agentic Analytics. And it is time for our brand to make that unmistakably clear. And yes, I am excited. We are all excited.

In today’s product landscape, analytics isn’t just about showing insights. It’s about moving data into the tools where work actually happens, so that users can make informed decisions in context. Users expect analytics to integrate with their systems, whether that means sending a lead to a CRM, creating a Jira ticket, or triggering a workflow downstream. As product owners, that means one thing: your analytics experience should enable seamless data flows across systems.

In the world of early-stage startups, the real enemies aren’t competitors. It’s time, focus, and credibility. You’re racing to ship fast, protect runway, and look enterprise-ready long before you actually are. And in 2025, every serious buyer expects your product to have native, AI-powered analytics built in. Not basic dashboards, but a polished, conversational, ask-anything, data experience that delivers trusted answers.

Your executives are asking for AI-powered customer experiences, but your data teams are still playing catch-up with basic self-service requests—and that gap is costing you competitive advantage every day it persists.

Snowflake Intelligence and ThoughtSpot are more than complementary tools—they complete the picture for AI-powered analytics and BI that serves everyone everywhere, from data scientists to business executives. Together, they turn data into decisions through one connected experience that works the way people do: intuitive, secure, and fast. No silos, no copies—just a single source of truth your entire business can trust.

For years, product teams from software companies have faced the same uphill battle: deliver analytics that hopefully fulfill their customers’ expectations while keeping their own roadmaps on track. Too often, the result is static dashboards tacked onto an application—uninspiring, difficult to maintain, and disconnected from user workflows. Meanwhile, customer expectations have evolved. They want analytics that feels alive, intelligent, and seamlessly part of the products they use every day.

With new AI capabilities, Spotter 3 blends structured and unstructured data, reasons like your best analyst, and turns every question into confident action.

At ThoughtSpot, we've long understood that a robust semantic layer is the linchpin of a successful data strategy. Our Agentic Analytics Platform is built on a semantic foundation that makes it possible for anyone to get trusted, instant answers from data using simple natural language. However, the industry has struggled with a foundational challenge for years: a lack of a common semantic standard.

As leaders across industries, we’ve all experienced the frustration of legacy BI tools—spending weeks building dashboards that end up unused, or struggling with rigid filters that block true exploration and insight. Calling this “data-driven” is no longer acceptable! Today, the pace of AI innovation has raised expectations. Customers and end users now demand instant, contextual, and explainable intelligence, seamlessly embedded into their daily workflows.