Dataroid, an AI-powered digital analytics and customer engagement platform, has raised $6.6 million in a Pre-Series A funding round, as it prepares to accelerate expansion across Europe, the Middle East and Asia.
The round was led by FinAI Venture Capital Fund, managed by Tacirler Asset Management, with participation from the Tacirler Asset Management Future Impact Venture Capital Fund and Endeavor Catalyst.
The investment marks a significant milestone for the company, which has built its reputation serving highly regulated industries such as banking and financial services.
With the new capital, Dataroid plans to deepen its AI capabilities, expand into new international markets, and position itself as a global analytics platform capable of translating live customer data into measurable business outcomes.
What You Should Know
Founded by Fatih İşbecer, Elif Parlak and Can Elmas, Dataroid enables enterprises to analyse customer interactions across digital channels, generate real-time insights, and make data-driven decisions that directly affect revenue, retention and customer experience.
“Working with banks in Turkey that reach tens of millions of digital customers has allowed Dataroid to develop analytics and AI capabilities at real-world scale and under regulatory constraints, providing a strong foundation for global expansion,” Fatih İşbecer said.
Today, Dataroid says its platform enhances the digital experience of more than 120 million users, positioning it as the market-leading digital analytics solution for banking and financial services in Turkey.
The company now intends to export that model internationally, using the new funding to strengthen AI-driven features such as automated insight generation, predictive analytics, and self-service decision intelligence, while accelerating global marketing efforts with a particular focus on the EMEA region.
EMEA as a Strategic Growth Focus
Dataroid sees Europe, the Middle East and Asia as key growth markets, driven by increasing demand for compliant, real-time analytics in financial services and other regulated industries.
Co-founder Elif Parlak said the company is prioritising expansion while continuing to invest in product development.
“With this new funding, Dataroid plans to expand into its target geographies, strengthen its presence across the Middle East, Europe and Asia, accelerate global marketing initiatives, and further develop its AI-powered self-service analytics capabilities.”
The company’s strategy reflects a broader shift in enterprise analytics, where businesses are moving beyond dashboards and reports towards systems that can recommend and execute actions in real time.
Turning Insights Into Action
Unlike traditional analytics platforms that focus on retrospective reporting, Dataroid is positioning its AI as an operational layer embedded directly into customer-facing workflows.
As part of the new investment, the company plans to expand the use of AI agents within user dashboards, enabling teams to identify revenue opportunities, detect friction points, and prioritise actions with clear financial impact.
These AI-driven tools will support predictive analytics, personalised recommendations, and automated insight generation, helping organisations increase conversion rates, reduce churn, and improve customer lifetime value, while lowering the cost and complexity of manual data analysis.
By allowing teams across product, marketing and technology to act on shared insights, Dataroid aims to align analytics more closely with business outcomes rather than vanity metrics.
Strong Market Performance and Customer Retention
Dataroid’s growth ambitions are underpinned by strong performance metrics. According to 2025 reports from G2, one of the world’s largest B2B software marketplaces, Dataroid ranked as the number one digital analytics platform in the Middle East and secured first place for Best Support in the product and customer journey analytics categories.
The company closed 2025 with 127 per cent net revenue retention and reported zero churn across both customers and revenue, indicators of strong product-market fit in a competitive analytics landscape.
Prior to the latest round, Dataroid raised $2 million in December 2023 from Koç Group’s Private Venture Capital Investment Fund and İşbank’s 100th Year Venture Capital Fund.
Positioning for the Next Phase of Enterprise AI
As enterprises increasingly seek analytics tools that can operate on live data and deliver real-time decision intelligence, Dataroid is positioning itself at the intersection of AI, compliance, and customer experience.
By focusing on regulated markets first, the company believes it can build trust, resilience, and scalability into its platform, qualities that are becoming critical as global scrutiny around data privacy and AI governance intensifies.
With fresh capital, expanding international ambitions, and a growing customer base, Dataroid is now entering a pivotal phase, one that will test whether its AI-first approach can compete on the global stage and redefine how enterprises turn data into decisive action.
Talking Points
It is notable that Dataroid’s $6.6 million Pre-Series A raise reflects growing investor confidence in AI-driven analytics platforms built for highly regulated industries such as banking and financial services.
At Techparley, we see Dataroid’s expansion into EMEA as a signal that enterprise AI adoption is shifting beyond experimentation towards systems that can translate live data into measurable business outcomes.
The platform’s focus on embedding AI agents directly into user dashboards moves analytics beyond reporting, enabling teams to act on insights in real time and align decision-making across product, marketing, and technology functions.
However, sustained growth will depend on how effectively Dataroid adapts its platform to diverse regulatory environments and competitive enterprise markets beyond its home base. Localisation, partnerships, and trust-building will be essential as it scales globally.
As Dataroid accelerates international expansion, there is a clear opportunity to emerge as a category-defining analytics provider for regulated industries. With disciplined execution and continued product innovation, the company could play a meaningful role in shaping how enterprises use AI to drive revenue, retention, and customer experience.
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