12 Days of Startups: Day 4, Datactics Ltd.

Datactics Ltd. is a data readiness company headquartered in Belfast, Northern Ireland, employing 35 professionals. The company specializes in developing user-friendly data quality and matching software designed to enhance data utility for business teams. Its platform is utilized by international banks and major government entities to address data quality issues.

Clients leverage Datactics' solutions to manage extensive datasets related to customers, suppliers, and transactions, aiming to profile, clean, and de-duplicate this information. The objective is to facilitate critical business functions such as regulatory reporting, enabling data as a service, and establishing a unified customer view, all of which require well-structured data. This is essential for supporting effective AI projects.

The integration of data quality and matching functionalities is critical for achieving a comprehensive view of customers or citizens. Enhanced data quality improves matching accuracy, particularly through de-duplication, which is vital for precise regulatory reporting and customer understanding. Typically, these capabilities are not found within a single platform.

In financial services, this software aids in compliance with regulations such as those imposed by the Financial Services Compensation Scheme, enabling banks to adapt swiftly, maintain compliance, and be audit-ready. For law enforcement, it improves crime classification accuracy to ensure efficient case management. In healthcare, it assists in reducing wait times and streamlining diagnoses.

The platform allows subject matter experts within client organizations to construct powerful workflows utilizing data quality and matching without requiring programming skills.

In 2025, Datactics experienced a revenue growth of over 30%, securing five new retail banking clients for an innovative service that ensures compliance with banking regulations through an accurate and fast single customer view.

The company has become increasingly involved in solving real-world data challenges, understanding the specific needs of various sectors, and building optimal solutions. Key growth areas included engagements with law enforcement and banks to support FSCS regulations using Datactics' digital data sandbox.

Datactics plans to further explore AI applications for data quality in 2026, focusing on leveraging improved data for organizational and end-user benefits. Recognizing that data quality without context is ineffective, the company aims to engage both technical and non-technical stakeholders who influence digital transformation projects.

Following the integration of automatic rule suggestion, Datactics is now investigating the use of autonomous AI agents to proactively monitor and address data issues across data stacks. The company seeks to understand and align with client objectives to maximize value extraction from data projects, transforming discussions towards achieving real-world outcomes that enhance efficiency and societal impact through contextual applications.

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Based on reporting by techround.co.uk.