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Qlik provides a cloud-based data integration and analytics platform that helps businesses uncover insights and take timely actions. It connects data from multiple sources in real time and enables AI-driven analytics and collaborative intelligence, so teams can work together on data-driven decisions. The product lives in the cloud and is delivered via subscription, with customers ranging from large enterprises in healthcare, retail, and finance. What sets Qlik apart is its end-to-end platform for real-time data integration and analytics designed for collaboration across departments, rather than isolated tools. Its goal is to turn raw data into actionable insights that improve operational efficiency, reduce costs, and drive innovation.
Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
1,001-5,000
Company Stage
Acquired
Total Funding
$124.5M
Headquarters
Upper Merion Township, Pennsylvania
Founded
1993
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Qlik makes data engineering artificial intelligence features generally available. The vendor released data quality agents and pipeline tools to assist developers in preparing information for production models. Redação Portal ERP Jul 04, 2026 T | Fonte: 18px Qlik, a business intelligence and data integration vendor, transitioned several artificial intelligence tools from preview to general availability. The release introduces components designed to assist engineers in validating and structuring data for production deployments. The updated platform includes data quality agents that allow developers to establish rules, calculate trust scores for datasets and identify anomalies. The vendor also deployed a catalog to standardize terminology and facilitate the discovery of data assets. A feature labeled Data Products enables teams to curate reusable datasets for subsequent analytics operations. "This is a good update from Qlik for data engineers using their platform," Donald Farmer, founder and principal of TreeHive Strategy, told TechTarget. "No big breakthroughs, but very useful AI integration... For the gap that Qlik correctly identifies - between ambition and readiness - this is very helpful." To support developers utilizing external tools, Qlik introduced Declarative Pipelines with Coding. This addition allows engineers to operate approved third-party coding agents to construct artificial intelligence pipelines. The release expands Model Context Protocol integration, allowing authorized external applications to access proprietary logic stored within the Qlik environment. "These capabilities move beyond simply using AI to generate code by embedding agentic AI throughout the data engineering lifecycle," Stephen Catanzano, an analyst at Omdia, told Techtarget. "Organizations can now discover, validate, govern, and package trusted data products more efficiently, helping reduce engineering backlogs while accelerating delivery of AI-ready data without sacrificing governance or lineage." These technical additions follow organizational shifts at the vendor. Mike Capone stepped down from the chief executive role following the annual Connect conference. Saugata Saha assumed the president and CEO positions shortly after. "As organizations move from AI pilots to operational AI, the bottleneck is increasingly the data engineering work required to make data trusted, timely, governed and usable by both people and AI agents," Drew Clarke, Qlik's executive vice president of product and technology, told TechTarget. "Customers told us they need more leverage in that layer, but without giving up governance, lineage or choice." Redação Portal ERP. Editorial Team
Qlik achieves the AWS Agentic AI Competency for Agentic AI Applications. Recognition validates Qlik's proven success deploying autonomous AI systems that reason, plan, and act on enterprise data at scale Key takeaways: * Qlik has achieved the AWS AI Competency in the Agentic AI Applications category, validating its expertise in advanced AI deployments. * Recognition highlights proven success in helping organizations operationalize generative and autonomous AI at scale. * Qlik enables enterprises to transform unstructured and fragmented data into decision-ready intelligence using AWS technologies. PHILADELPHIA-(BUSINESS WIRE)-Qlik(R) today announced it has earned the Amazon Web Services (AWS) AI Competency in the Agentic AI Applications category. The designation recognizes Qlik's demonstrated ability to help enterprises deploy autonomous AI systems, applications that can reason, plan, and execute complex business processes, at scale on AWS. Achieving the AWS Agentic AI Competency differentiates Qlik as an AWS Partner with demonstrated technical proficiency and proven customer success in turning fragmented, unstructured data into actionable, decision-ready intelligence at scale. Qlik brings deep expertise in implementing generative AI solutions and autonomous AI systems that can reason, plan, and execute complex business processes. This includes successful deployment of solutions ranging from hyper-personalized content generation to intelligent process automation, leveraging AWS technologies such as Amazon Bedrock and compatible frameworks. "Agentic AI enterprise systems go beyond answering questions. They reason, recommend and act," said Drew Clarke, Executive Vice President, Product and Technology at Qlik. "That makes trusted business context essential. Achieving the AWS Agentic AI Competency validates Qlik's ability to help customers build AI systems on AWS that are grounded in governed, decision-ready data, so they can move from fragmented information to reliable action at enterprise scale." The AWS Competency Program connects customers with AWS Partners who possess extensive knowledge and technical expertise in using AWS technologies. These specialized partners help organizations implement enterprise-grade AI systems across diverse use cases, including enterprise knowledge operations, autonomous customer operations, content generation, and workflow optimization. What's new * Qlik joins the AWS Agentic AI Competency program, validated through technical review and customer reference checks * Amazon Bedrock integration enables Qlik customers to orchestrate multi-model AI workflows within governed data pipelines * Qlik Answers(R) will support autonomous knowledge retrieval across structured and unstructured enterprise data sources Qlik's AI capabilities are built on a unified data and analytics platform designed to ensure AI systems are grounded in trusted, high-quality data. With solutions such as Qlik Answers and Qlik Predict(R), organizations can combine structured and unstructured data, automate decision-making workflows, and deploy agentic AI applications that continuously learn and adapt. By integrating with AWS services like Amazon Bedrock, Qlik enables customers to rapidly build, orchestrate, and scale AI-driven applications while maintaining governance and transparency. To explore how your organization can turn data into AI-driven action with Qlik, please visit qlik.com. About Qlik Qlik helps teams get more out of AI with data they can rely on and control. It delivers trusted data products, a powerful analytics engine, and AI agents. This helps teams reduce risk, keep operating costs in check, and scale AI responsibly as needs evolve. Used by 75% of the Fortune 500, Qlik supports customers worldwide. Qlik works with the systems and partners customers already use, so teams can stay flexible without lock-in. (C) 2026 QlikTech International AB. All rights reserved. All company and/or product names may be trade names, trademarks and/or registered trademarks of the respective owners with which they are associated. Contacts. Keith Parker 512-367-2884 More News From Qlik SAN FRANCISCO-( BUSINESS WIRE )-Qlik expands Snowflake integrations, bringing data, governed context, and agentic capabilities to Snowflake-centered AI and analytics initiatives... PHILADELPHIA-( BUSINESS WIRE )-New Qlik survey suggests the 2026 FIFA World Cup could become one of the first large-scale workplace stress tests of AI productivity in real time... PHILADELPHIA-( BUSINESS WIRE )-Qlik partners with Starburst to help enterprises turn fragmented data into governed, AI-ready intelligence...
TouchPoint Support Services recognized as GenAI "Trailblazer" by Amazon Web Services. Recognition highlights TouchPoint's leadership in applying AI to transform healthcare support services ATLANTA-(BUSINESS WIRE)-TouchPoint Support Services was recently named a GenAI "Trailblazer" by Amazon Web Services (AWS) for the creation of TouchPointGPT, an AI-powered chatbot powered by Qlik Answers(R) and trained securely and exclusively on TouchPoint resources and documents. The result: faster, more accurate, and more convenient access to policies, procedures, recipes, and safety information for team members - anytime, anywhere. "Consistency and compliance are critical in healthcare environments, and this technology helps us achieve both with confidence," says Robert Tindell, CEO of TouchPoint. "When artificial intelligence works alongside the expertise of our teams, we can elevate the way we support patients, caregivers, and healthcare systems." TouchPoint partnered with Qlik(R), using Qlik Answers(R) powered by Amazon Bedrock, to build a chatbot interface branded as TouchPointGPT. The system has more than 62,000 pages indexed across 25 knowledge bases, so teams no longer must waste time hunting for files. With this tool, TouchPoint team members can now focus on higher-value tasks rather than document retrieval. "This recognition from AWS reinforces the direction we're heading as an organization. TouchPointGPT allows us to scale intelligence across our operations by turning thousands of operational resources into real-time, role-based guidance for our teams. The result is a more consistent experience for our hospital partners, stronger compliance, and faster decision-making at the frontline," said Max Mosky, SVP of Strategy & Innovation, Compass Healthcare. TouchPoint has been chosen to join AWS' GenAI Trailblazers program, which highlights leading Agentic AI use cases. AWS provides the world's most comprehensive cloud platform, enabling organizations to innovate and build transformative technologies.
Qlik and Starburst turn fragmented enterprise data into governed, ai-ready intelligence. Partnership combines Qlik data integration, replication and analytics with Starburst federated query, context and agentic capabilities to give customers more choice across hybrid data estates. Qlik recently announced a strategic partnership with Starburst to help enterprises turn fragmented data into governed, AI-ready intelligence. The collaboration will pair Qlik's data integration, replication, analytics and agentic workflows with Starburst's federated query engine, context layer and agentic capabilities, giving customers more choice in how they query, move, prepare and use data across cloud, on-premises and hybrid environments. Enterprise AI is running into a structural data problem. Models, agents and applications are advancing quickly, but the data they depend on remains spread across clouds, warehouses, lakes, SaaS applications and on-premises systems. Centralizing everything can add cost, latency, compliance exposure and lock-in. Leaving data fragmented, without shared definitions or governed context, limits what AI can understand and do. Qlik and Starburst address that gap by connecting federated access, shared business context and data operationalization. Starburst helps customers query distributed data and apply consistent context and governance. Qlik and Starburst both contribute to preparing and transforming trusted data, with Qlik orchestrating the workflow and logic and Starburst serving as the execution engine across distributed environments. Qlik also helps replicate, analyze and operationalize that data for business intelligence and AI. Together, the companies help customers keep data where it belongs, move it when it creates value, and give AI the trusted context it needs to act. "The bottleneck for enterprise AI isn't the models - it's the data architectures they're asked to work with. Fragmented, ungoverned data doesn't just slow AI down; it makes the outcomes untrustworthy," shared James Fisher, Chief Strategy Officer, Qlik " What enterprises need is a way to give AI access to the right data, in the right context, with the right controls - without being forced into a single architecture or a costly re-platforming exercise. That's what this partnership will be built around. Qlik and Starburst give customers the freedom to keep data where it belongs, move it when it creates value, and trust what AI does with it." "Enterprises need more than access to data: they need AI that understands what that data means," said Matt Fuller, Founder and VP of AI & ML, Starburst. "Starburst gives customers governed, federated access to data wherever it lives, with the business context and semantic layer that makes AI answers trustworthy and consistent. Together with Qlik, we give enterprises a practical path from distributed data to trusted business intelligence and AI, without unnecessary data movement, replatforming or vendor lock-in." What's new * Federated access for analytics and AI: The companies are developing integration patterns that combine Starburst federated access, context and analytics capabilities with Qlik data integration, replication, transformation and analytics to support trusted BI and AI across distributed environments. * Hybrid and on-premises reference architectures: The companies have validated joint solution patterns combining Qlik Replicate(R), Starburst Enterprise and Qlik analytics for customers operating across regulated, hybrid and multi-cloud environments. * Context for BI and agents: Starburst's context layer, analytics and agentic capabilities, paired with Qlik's integration, replication, transformation and analytics strengths, help business users and agents work from governed data and shared business definitions. * AI-assisted data pipelines: Qlik and Starburst are working on agentic pipeline capabilities that translate natural language requests into optimized SQL workflows, helping data engineers accelerate pipeline creation while maintaining validation and control. For customers, the value is architectural choice. They can use the data platforms, applications and deployment models already in place, query data where it lives, move it when the workload requires and preserve the lineage, policy and business meaning AI needs for reliable outcomes.
Qlik has announced expanded integration with Snowflake to help enterprises bring real-time data and governed business context into AI and analytics workflows. The announcement, timed for Snowflake Summit 26, includes a new Snowflake Native App for Qlik Model Context Protocol Server. The integration allows Cortex Agents to access Qlik-governed data and analytics assets directly from Snowflake workflows, including applications, KPIs and chart data. Qlik supports real-time data movement from hundreds of enterprise sources into Snowflake through CDC, streaming and batch processes. As a Snowflake Elite Technology Partner, Qlik combines data integration, quality controls and analytics with governance capabilities. The solution aims to help joint customers scale AI initiatives whilst maintaining control over data quality and business context. Qlik is used by 75% of Fortune 500 companies.
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Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
1,001-5,000
Company Stage
Acquired
Total Funding
$124.5M
Headquarters
Upper Merion Township, Pennsylvania
Founded
1993
Find jobs on Simplify and start your career today