Dataroid Raises $6.6M to Expand Across EMEA and Double Down on AI

Dataroid raises $6.6m to scale across EMEA and double down on AI analytics

Istanbul-based Dataroid has secured $6.6m in pre-Series A funding to expand across Europe, the Middle East, and Africa while accelerating its AI-led product roadmap. The company builds digital analytics and customer engagement tools for highly regulated industries, especially banking and financial services.

The round was led by the FinAI Venture Capital Fund of Tacirler Asset Management, with participation from Tacirler Asset Management's Future Impact Venture Capital Fund and Endeavor Catalyst. The focus now: geographic expansion, stronger global marketing, and deeper AI capabilities built for enterprise-grade requirements.

Why this round matters for product teams

Financial institutions need analytics that respect regulation, security, and data governance from day one. That's Dataroid's pitch-and it's gaining traction.

Özge Atalay, co-founder of the FinAI Venture Capital Fund, said the platform was built with the needs of banks in mind and is ready to scale internationally. The company has already proven adoption in Turkey and parts of EMEA, setting the stage for a bigger push.

Proof points worth noting

Dataroid supports digital experiences for more than 120 million end users, largely through major Turkish banks. That volume gives them a strong signal engine and the operational muscle to serve larger markets.

According to 2025 reports by G2, the company ranked as the leading digital analytics platform in the Middle East and took first place for best customer support in product and customer path analytics categories, based on user feedback. They closed 2025 with 127% net revenue retention and zero churn, a strong indicator of product value and stickiness in enterprise accounts.

What the product actually does

Dataroid provides analytics to map and improve digital customer flows, then activates those insights through engagement features. Think granular event data, behavioral insights, targeted messaging, and AI-driven recommendations-packaged with the controls needed by banks and insurers.

Co-founder Fatih Isbecer said the priority is to take what's working in Turkey into new markets while strengthening AI capabilities to meet customer demand. For product leaders, this reads as: more predictive features, smarter decisioning, and stricter controls for model oversight.

How product teams can evaluate Dataroid

• Security and compliance: Validate data residency options, audit logs, access controls, and model governance. Get this signed off early with risk and legal.
• Data quality: Confirm event coverage, identity resolution, and latency for real-time use cases. Poor inputs kill downstream AI features.
• Activation workflows: Check how insights trigger messaging or in-app changes. Look for no-code rules plus API flexibility.
• AI transparency: Request model explainability, monitoring, and rollback paths. You'll need clear ownership for incidents.
• Stack fit: Test integrations with core systems (CDP/CRM, feature flags, data warehouse, MDM). Avoid yet another silo.
• Success metrics: Define target KPIs before a pilot-conversion lift, funnel completion, cost to serve, and time-to-insight.
• Rollout plan: Start with one high-traffic flow, agree on guardrails, and timebox the POC to 60-90 days.

EMEA expansion: what to expect

• Localization: Languages, right-to-left scripts where needed, and region-specific consent experiences.
• Regulation: Alignment with GDPR, PSD2/SCA, and bank-level audit requirements.
• Support: Enterprise SLAs and incident response aligned to your change windows.

Deal history and momentum

Dataroid previously raised $2m in December 2023 from the private venture capital fund of Koç Group and İşbank's 100th Year Venture Capital Fund. The new round, backed by FinAI and Endeavor Catalyst, signals a shift from regional validation to broader scale.

Bottom line for product leaders

If you operate in regulated markets and need analytics that plug cleanly into activation while meeting compliance standards, Dataroid is worth a serious look. The traction, support reputation, and retention numbers suggest it can live in enterprise environments without becoming another maintenance burden.

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