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The embedded AI analytics platform

AI inside your product. Under your brand. Ready for real customers.

AI is going to answer your customers with your name on it. Make sure it’s right. Sisense grounds AI in your data, so you can ship with confidence.

Sisense has 20+ years of experience powering analytics in customer-facing products.

Today, that same foundation supports governed AI experiences inside the products you ship.

The governed distribution layer for product AI.

Ground AI in your approved metrics, context, and access rules, then deliver it into the products and workflows your users already use.

Maintain consistent metrics.
Use governed semantics and shared formulas so people and AI always work from the same approved definitions.

Keep every customer’s data where it belongs.
Enforce tenant-safe access and row-level security at the query layer, helping prevent one customer’s data from appearing in another’s answer.

Give AI the context to correctly interpret your data.
Use semantic enrichment and publish semantics to help AI understand your data, while keeping your team in control of the guidelines it receives.

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Put AI where the work happens.

Bring intelligence into your product with flexible APIs, SDKs, embed paths, and multi-tenant architecture, without tying your product to a single AI experience.

Choose how you embed.

From lightweight widget to custom build, use Compose SDK and APIs to control where intelligence appears and how it behaves, while keeping it true to your product and brand.

Connect any AI experience.

Use MCP or APIs to seamlessly connect your Sisense data to the AI tools and workflows your users already rely on.

Accelerate development.

Generate Compose SDK embed code, work across multiple frameworks, and extend experiences with custom plugins. Developers can spend more time building what differentiates your product.

Help users ask, understand, and act.

Ask and find naturally.
Let users ask questions in plain language with assistant and use search to find the insights they need, without navigating dashboards or understanding the underlying data structure.

Explain what matters.
Turn complex results into clear summaries with narrative and use explanation to surface the drivers behind changes, so users understand not just what happened, but why.

See what’s next.
Use pulse, forecast, and trend to surface where things are heading before users ask, so they can act on changes sooner.

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