EMBEDDED AI ANALYTICS

Future-Proof Your Apps with Embedded AI Analytics

Deliver intelligent insights directly where your users already work. Qlik's embedded AI analytics solution lets organizations integrate predictive and generative AI-powered insights directly into their existing business applications without complexity. Move beyond traditional business intelligence to proactive, automated decision-making.

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Build a connected experience with built-in security, AI agents, and enterprise-level analytics

Delivering AI within your product is no longer an add-on—it is table stakes for customer retention. Modern SaaS teams and enterprise developers require embedded analytics solutions that plug directly into existing systems without requiring complex data movement.

Deliver actionable insights within your core product

Empower non-technical users with a deep business context of their data. Integrating embedded AI directly into your SaaS product allows end-users to query data and make informed decisions without leaving their daily workflows.

Automate repetitive data analytics tasks

Bring intelligent automation to your software ecosystem. By deploying AI models and machine learning directly within existing applications, your product team can reduce the manual burden of data analysis and routine reporting.

Secure your sensitive business data

Protect sensitive data with a mature security model and built-in security controls. Make sure your data security meets strict compliance standards while scaling self-service capabilities.

How Qlik's embedded AI analytics solution works

Step 1 - Connect your applications directly to where your data lives across multiple data sources using our secure MCP server architecture.
Step 2 - Apply embedded AI systems and specialized machine learning algorithms to analyze data dynamically within your existing database structures.
Step 3 - Deliver predictive, visual, and plain-language insights to turn insights into actions instantly without sending data to separate tools.

Why choose Qlik for embedded AI analytics

Connected experience with frictionless integration

Scalable architecture for multi-tenant SaaS

AI-native conversational search and exploration

Agentic AI for proactive automation

Build a smooth user experience that fits naturally into your software

Avoid rigid, all-or-nothing systems. Qlik’s modular visual embedding tools enable a frictionless, unified integration into your existing workflows, creating a connected experience that looks like a native part of your core product while surfacing valuable insights.

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Power your SaaS applications with high-performance analytics

Built specifically for SaaS companies and independent software vendors, our technology scales to support high volumes of business data across hybrid and multi-cloud environments.

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Empower users to ask questions in plain language

Use natural language processing to enable an AI-native, natural language search and natural language queries experience. Users can ask follow-up questions in plain language to perform self-service analytics instantly.

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Go beyond dashboards with goal-oriented AI agents

Use agentic AI to automate complex processes like predictive maintenance and supply chain optimization. The system continuously monitors metrics to trigger workflows in external systems automatically.

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Key capabilities of Qlik's embedded analytics solution

Embedded AI for autonomous discovery

Deploy AI features like anomaly detection and automated report generation directly inside your software applications to improve the customer experience.

Intelligent forecasting and predictive analytics

Use our powerful analytics engine to run predictive analytics workloads that forecast future trends and deliver predictive insights to your users.

Interactive data visualizations and dashboards

Create beautiful, interactive data visualizations that allow users to explore fragmented data without needing a separate embedded analytics tool.

Frictionless user experience with no-code tools

Enable a frictionless, smooth user experience using drag-and-drop components that do not burden your engineering team with manual custom coding or managing multiple analytics tools.

Enterprise-grade data security and compliance

Make sure your data remains secure with reliable row-level security and access controls tailored for enterprise-level deployments.

Uncover new revenue streams

Turn analytics from an expensive add-on into a core differentiator. Adding analytics capabilities to your product helps you monetize data and find new revenue streams.

Embedded AI analytics FAQs

It refers to integrating artificial intelligence and data analytics capabilities directly into existing business applications. This enables users to analyze data and find AI-driven insights within their current workflows.

The MCP server standardizes how AI models and traditional AI systems access secure data sources. This reduces the custom coding required by your engineering team, allowing for a faster setup.

Yes. By offering natural language search and conversational search, the solution allows users to type queries in plain language and get up-to-the-minute, live insights without needing to write SQL, navigate complex dashboards, or use separate tools.

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