Dataroid recognised in the Gartner Market Guide for product analytics. Dataroid brings unified analytics, real-time engagement & agentic AI to regulated sectors Last updated: October 06, 2026 | 15:00 Ask Gulf news anything What recognition did Dataroid receive from Gartner? How is Dataroid expanding after its $6.6 million funding? Why was Dataroid recognized for compliance in regulated sectors? Full Summary Dataroid has been named a Representative Vendor in Gartner's 2026 Market Guide for Product Analytics, highlighting its AI-powered analytics platform used by major banks in regulated regions and its recent $6.6 million pre-Series A funding round. Istanbul: Dataroid, the AI-powered digital product, journey analytics, and engagement platform, today announced that it has been named a Representative Vendor alongside other global players in the Gartner Market Guide for Product Analytics (2026). Dataroid works with leading banks and financial institutions across EMEA, bringing together customer data, behavioral analytics, real-time engagement, and app performance management in a single platform. Dataroid Co-Founder and Chief Revenue Officer Elif Parlak said "We believe this recognition reflects how Dataroid has built AI-powered digital product analytics where compliance is non-negotiable. Working with the largest banks in Turkey, Azerbaijan, and the Gulf has meant delivering analytics, engagement and AI at enterprise scale, under some of the strictest regulatory requirements. That discipline is why more than 500 million users today experience digital banking shaped by Dataroid. It's also our proving ground for bringing Dataroid to banks around the world." Dataroid Co-Founder and CTO Can Elmas also added "Product leaders want AI that can show what is happening, explain why, and act on it. In regulated industries, that only works when trust is built into the architecture, including the AI itself. Dataroid offers sovereign deployment, a choice of LLM behind AI Agent D, and pseudonymized data by default, so that banks can adopt AI-driven decisioning within the governance frameworks they already have." Following its $6.6 million pre-Series A round in January 2026, the company is expanding across EMEA and accelerating its AI development, helping more financial institutions turn customer insights into action and better digital experiences at scale. Gartner, Market Guide for Product Analytics (2026), Adrian Lee, Vivek Tomar, Andrew Newman, 26 August 2026 SPONSORED LINKS BY PROJECT AGORA Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's business and technology insights organisation and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Get updates on topics you choose. YOU MAY LIKE

Dataroid recognized in the Gartner(R) Market Guide for Product Analytics (2026). Named a Representative Vendor, Dataroid brings unified analytics, real-time engagement and agentic AI to banks and high-compliance enterprises as it expands across EMEA Istanbul, Turkey Sep 23, 2026 Dataroid, the AI-powered digital product, journey analytics, and engagement platform, today announced it has been recognized as a Representative Vendor in the Gartner(R) Market Guide for Product Analytics (2026). Trusted by leading banks and enterprises in highly regulated industries, Dataroid unifies enriched customer data, behavioral analytics, real-time engagement and app performance management in one platform. Gartner defines the product analytics (PA) market as "applications that are used to collect and analyze behavioral data and sentiment to increase user engagement, adoption and satisfaction and to improve and drive retention." Among its Strategic Planning Assumptions, the guide states, "By 2030, 70% of product leaders will automate product decisions through user behavior insights obtained with PA, up from 30% in 2026." Dataroid Co-Founder and Chief Revenue Officer Elif Parlak said "We believe this recognition reflects how Dataroid has built AI-powered digital product analytics where compliance is non-negotiable. Serving the largest banks in Turkey, Azerbaijan, and the Gulf has meant delivering analytics, engagement and AI at enterprise scale, under some of the strictest regulatory requirements. That discipline is why more than 500 million users today experience digital banking shaped by Dataroid. It's also our proving ground for bringing Dataroid to banks around the world. Clients measure us on business impact, and that means higher conversion, stronger retention, and greater customer lifetime value. Our investment round earlier this year lets us bring the same capability to financial institutions across EMEA, alongside AI agents embedded directly in our customers' dashboards." The Gartner(R) Market Guide for Product Analytics lists "Scaling trust and governance: (62% of PA providers)" among common enterprise AI adoption challenges. The guide also states that "The most prominent challenge is managing the customers' shift to AI. PA providers highlight the difficulty of scaling organizational trust, managing the probabilistic AI agent outputs, and proving reliability to compliance and risk teams, particularly in highly regulated environments." Dataroid Co-Founder and Chief Technology Officer Can Elmas said, "Product leaders want AI that can show what is happening, explain why, and act on it. In regulated industries, that only works when trust is built into the architecture, and that includes the AI itself. Dataroid supports private cloud and on-premises sovereign deployment, gives each institution its choice of LLM behind AI Agent D, including bringing their own models and keys, and operates on pseudonymized behavioral data by default, with data collection always under the institution's control. That is what lets banks adopt behavioral analytics, real-time engagement and AI-driven decisioning inside the governance frameworks they already have." Dataroid's market position and growth performance. Dataroid's performance is reflected in its published success stories with leading financial institutions, including Garanti BBVA, ING, Kuveyt Türk, Vision Bank, İşbank, Yapı Kredi, Akbank's Juzdan, and Vakıf Katılım, documenting measurable results across digital banking channels. In January 2026, Dataroid raised US $6.6 million in a pre-Series A round led by Tacirler Asset Management's FinAI Venture Capital Fund, with participation from Tacirler's Future Impact Venture Capital Fund and Endeavor Catalyst, to expand its footprint across EMEA and accelerate AI-powered product development. Dataroid's position and direction. Dataroid was built on the trust of some of the world's most demanding banks, and that trust defines what comes next. Dataroid is evolving from a platform teams look at into infrastructure their AI works on: a headless model where AI Agent D, the first of a family of specialized, governed agents, operates directly inside the tools teams already use, with every agent's scope defined and every action auditable. What has been proven with the largest institutions in Turkey and the Gulf is now being brought to financial institutions worldwide, at the same standard without exception. Gartner, Market Guide for Product Analytics, adrian lee, vivek tomar, andrew newman, 26 august 2026. Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Trusted by leading banks including Garanti BBVA, ING, QNB, Kuveyt Türk, KFH, and Vision Bank, Dataroid combines enriched customer data, behavioral analytics, app performance management, and data modeling into a single platform, providing marketing, product, customer, and technology teams with end-to-end customer insights. Processing behavioral data at scale and in full compliance, Dataroid today shapes the digital experience of more than 500 million users. Media contact. For press inquiries contact Dataroid at. Press kit. Follow Dataroid. Drive your digital growth Schedule a demo today to learn more on how Dataroid can help you unleash the potential of digital using Dataroid.