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

A-Team Insight Blogs

Seilern Investment Management Selects FINBOURNE to Improve Decision Making, Client Services, and Scale

Subscribe to our newsletter

Seilern Investment Management, an independent and privately-owned investment management firm, has selected FINBOURNE Technology’s Modern Financial Data Stack to scale its investment operations for rapid growth. The company selected FINBOURNE after a market review, and will implement the vendor’s LUSID cloud-native platform, as well SaaS and API-first capabilities, to enhance investment decision making, client services, and ability to scale.

The FINBOURNE implementation will provide a data hub to store and analyse client and transactional information, moving Seilern Asset Management on from batch processing to daily-updated data. The firm will also use FINBOURNE LUSID’s data visualisation capabilities to create bespoke dashboards and graphs.

The solution is expected to enable Seilern Investment Management to import and export data across the firm’s operational ecosystem, from its custodian and CRM, to external market data vendors. Datasets from the hub can be joined with those contained in other systems, to ensure consistent quality, avoid duplication, and improve reporting. The platform’s bitemporal feature means the firm can also access and rewind data across timelines, with full lineage, to augment business intelligence and investment workflows.

“With over 30 years of operating history, we recognise that transformation is vital to continuing our success and facilitating future growth,” says Stuart Gunderson, chief operating officer at Seilern Investment Management. “LUSID will deliver future-state infrastructure while reducing our total cost of ownership. In time, we look forward to expanding the scope to achieve additional efficiencies.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Data Office at a Crossroads — AI Governance, Organisational Design, and the Evolving Mandate of the CDO

Who owns AI governance in a capital markets firm – and is the Data Office structured to bear that weight? These questions sit at the heart of A-Team Research’s latest findings, presented here for the first time: the combined results of two landmark surveys examining the role of the Data Office in AI governance and...

BLOG

InterSystems-Aegis Trace Collaboration Seeks to Give Clients AI Adoption Confidence

Data management solutions provider InterSystems has been working with Aegis Trace to support the development of capabilities within its AI decision-traceability platform, helping financial institutions and other regulated organisations improve transparency, accountability and confidence in AI-supported decision making. MSDK Labs-developed Aegis Trace has used the InterSystems IRIS Data Platform to support the development of its...

EVENT

RegTech Summit London

Now in its 10th year, RegTech Summit London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to innovate the compliance function and response.

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...