Dave isn’t the only one who tried. Plenty of product teams have built their own analytics and hit the same wall. In this week’s live session, we embed AI-powered analytics into a working app in 30 minutes, so you can see how teams go live in weeks instead of spending a year building it.
Building it yourself, hands on? Start a free trial or explore the developer portal.
Not ready for a live session? Estimate what your build would cost in a few minutes.
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In 30 minutes, live:
“We went live in two weeks and scaled up to 56,000 end users.”
A few sample apps our solutions team built on ThoughtSpot Embedded. Different industries, different brands, one platform underneath.
Embed individual charts and AI summaries right where people work, like a per-drug inventory view that expands in place.
AI Highlights flags unexpected changes and explains the top contributors behind them, inside the customer’s own dashboard.
Give trial users a taste of AI answers, then upgrade them to Premium for unlimited questions, exports, and drill-downs.
Let users act on what they find, like enrolling at-risk contacts in a win-back cadence straight from the data.
Show ratings by neighborhood on an interactive map, styled to match a bright, consumer-facing brand.
Users ask questions in plain language and get answers from live data, with interactive charts they can drill into.
Embedded analytics doesn’t have to be a cost center. Teams package AI-powered insights as a premium tier and turn a support burden into a new line of revenue.
See how it’s packaged, liveSo what do those two weeks actually get you? Everything your customers see, branded as yours and live in your product. Go ahead and click around, each tile works the way it would in your app.
Describe your brand in plain language and AI Theme Builder themes every component. Pick a company, then hover the chart to explore the data.
Embed Spotter, white-labeled, so users ask in plain language and get governed answers.
Row-level security inherited from your app. Switch users to see it work.
Signed in as a West sales rep. Other regions are hidden by row-level security.
Put Spotter in a premium tier or meter by customer. Multi-tenant from day one.
A few lines with the Visual Embed SDK, REST APIs for everything else, and SpotterCode, an AI coding agent that works right in the IDE.
import { init, LiveboardEmbed } from '@thoughtspot/visual-embed-sdk'; init({ thoughtSpotHost: 'https://your-company.thoughtspot.cloud' }); new LiveboardEmbed('#analytics', { liveboardId: 'your-liveboard-id', }).render(); // that’s the whole build
Here’s how a year tends to play out on each path. Drag through it and see where each one lands.
Curious what your build actually costs? Try the Build Calculator
Watch it built liveWant to see it all working together? Every week we take a working app and turn it into an intelligent one, live, with a few lines of code.
On the left, what a lot of homegrown dashboards look like by month six. On the right, the same data embedded with ThoughtSpot. Drag to compare.
How it looks is the easy part to see. How long it takes to get there is the part that hurts.
Your customers are building with AI agents too. With the ThoughtSpot MCP Server add-on, any MCP-compatible agent or chatbot can ask questions in plain language, pull governed data, and create Liveboards, with the same row-level security as the rest of your embed.
// connect your agent to ThoughtSpot { "url": "https://agent.thoughtspot.app/mcp", "name": "thoughtspot" }
Under every one of those apps sits the part that quietly eats roadmaps. ThoughtSpot Embedded owns it, so your team doesn’t have to.
Queries your warehouse live, no copies
Dave’s already sketching his next build. You can skip straight to the version that holds up. Pick a session and we’ll send a calendar invite and a reminder.
No. Most people in the session have started. ThoughtSpot connects to the warehouse you already use and embeds inside your existing app, so you replace the analytics layer you’d otherwise keep maintaining, not your product.
Internal BI is built for analysts inside your company. Customer-facing analytics needs a separate view for every customer, row-level security, and your product’s look and feel. That’s what ThoughtSpot Embedded is built for.
You define your metrics and business logic once in ThoughtSpot’s governed semantic layer, and every AI answer uses those definitions, so your customers see the same numbers everywhere.
Product and engineering leaders who want AI-powered analytics in their product without spending a year building it.
No prior ThoughtSpot experience required.
30 minutes.
Yes, it’s a live group demo every week.
Live every week, 30 minutes, hosted by Mani Uppala, Principal Solutions Engineer.
Save my seat for the live buildTakes you to registration at the top of the page.