For most enterprises, the obstacle to AI isn't the model—it's the data behind it. Countly, the first-party digital analytics and customer engagement platform, is addressing that gap with its latest release, reimagining its platform as the data foundation for enterprise AI. Countly 26.01 introduces a new data engine and AI-ready pipeline that gives organizations full control over the data feeding their AI: structured, fast, compliant, and grounded in real user context.
With 78% of organizations now using AI in at least one function, the technology is reshaping global competition. Yet its impact depends entirely on the quality, structure, and reliability of the data that powers it. Many enterprises still rely on fragmented or third-party sources that limit accuracy, compliance, and real customer understanding. Countly changes that. It gives organizations the infrastructure to collect, structure, and govern their own first-party data, turning it into a trusted foundation for AI-driven products and decision-making.
"Countly is moving beyond analytics to become the platform for customer-driven AI," says Onur Alp Soner, CEO & Co-founder of Countly. "Enterprises are recognizing that AI is only as strong as the data behind it, and this release marks a turning point in how organizations use that data."
The release introduces three core capabilities. First, a next-generation data engine that delivers insights up to 100x faster, available in real time. Second, Cee, an AI-powered assistant that explains insights and guides users through advanced features in straightforward language. Third, an AI-ready data pipeline that structures and optimizes customer behavior data, enriching it with user context to train enterprise-grade AI models.
Together, these new capabilities mark a step toward Countly's vision of returning control of data to organizations. Built on the principle that control over data means control over AI, Countly 26.01 helps enterprises move faster, act on insights in real time, and build AI tools grounded in authentic customer behavior rather than static datasets.
It's particularly valuable in data-intensive industries such as finance, healthcare, and telecommunications, where privacy, precision, and speed are essential. These sectors can't afford to work with unreliable or outdated information. They need systems that respect regulatory frameworks while delivering actionable intelligence.
"Our long-term vision is to make Countly the trusted data layer for enterprise AI—the platform that not only helps you understand your users but also powers the intelligence that interacts with them," adds Onur Alp Soner. "Everything we're building is guided by one principle: AI should serve your business, powered by your data, not the other way around."
By combining a privacy-first architecture with real-time customer insights, Countly enables enterprises to build and train AI systems responsibly, without compromising compliance or trust. Countly will continue to build on this foundation in 2026, expanding its role as the data layer behind enterprise AI.
Countly is a leading product analytics and customer experience platform that helps organizations understand and improve how users interact with their digital products. With a privacy-first foundation, Countly enables enterprises to track, analyze, and act on customer behavior across web, mobile, and IoT environments, without compromising compliance or data security. Founded in 2013, Countly's mission is to help enterprises own their data and their intelligence, empowering them to deliver smarter, safer, and more personalized digital experiences.
