About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Kneip Accelerates Innovation of Fund Data Management and Reporting Solutions with Acquisition of Dataglide

Subscribe to our newsletter

Kneip, a Luxembourg and London-based provider of fund data management and reporting solutions for the asset management industry, has acquired Dataglide, a London-based technology company specialising in data transformation and cloud-based automation.

The acquisition follows more than a year’s work by the companies to build a next generation fund data management platform for Kneip. It also brings additional technology expertise in-house, with microservices architecture and multi-tenant cloud computing expected to increase service quality and data accuracy, as well as drive process automation across Kneip’s data management and reporting solutions.

“Dataglide’s capability and team will accelerate our plans for growth,” says Kneip CEO Enrique Sacau. “Our goal is to help firms control their data, lower their operational and compliance risk, and ultimately inform their business strategy. The acquisition takes our technology to the next level and deepens our capability to deliver innovative solutions and services to our clients.”

From Dataglide’s perspective, co-founders Simon Hook and Matt Duckhouse comment: “By combining the technical expertise of the Dataglide team with the deep market understanding and powerful offering of Kneip, we will accelerate product innovation for the benefit of the fund management sector.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for data that’s fed into artificial intelligence models. If the data isn’t clean, accurate and complete, then...

BLOG

12 Leading Vendors Operationalising AI & ML with Robust Data Pipelines

The transition of artificial intelligence and machine learning (ML) models from experimental sandboxes to production environments remains a persistent operational friction point. While quantitative researchers and data scientists can often demonstrate alpha in isolated backtesting environments, the institutionalisation of these models requires a level of data pipeline robustness, latency control and regulatory auditability that research...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...