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

A-Team Insight Blogs

IPM Informed Portfolio Management Selects Xenomorph’s TimeScape for Analytics and Data Management

Subscribe to our newsletter

IPM Informed Portfolio Management, a specialist investment manager based in Stockholm, Sweden, has selected Xenomorph’s TimeScape analytics and data management system to satisfy its requirements for a powerful and reliable security master and market data management platform.

IPM has experienced strong growth in its business and required a system that effectively managed an increasing data universe and provided an enhanced, consistent Golden Copy of multi-sourced financial, fundamental and complex data sets. Xenomorph’s TimeScape was chosen for its scalable statistical analytics and future-proof data model that allows any type of financial instrument to be integrated easily, regardless of the complexity of the asset class.

“We were impressed by TimeScape as it enables us to retrieve and view all data in a flexible and efficient way, with extensive search functionality”, commented Andreas Runnemo, responsible for the project at IPM. “We were looking for a solution which could adapt to our business needs, increase our capacity to centralise, store and consolidate multiple data sources, whilst ensuring a full audit trail process and greater data consistency. TimeScape meets these demands.”

“TimeScape has been designed from the outset to be as open and flexible as possible, allowing customisation by business and technology users alike”, adds Matthew Skinner, COO at Xenomorph. “Being able to meet clients’ evolving requirements is what we strive to do best. We are delighted to have been chosen by IPM and look forward to growing our relationship with them.”

The project has already commenced and the solution will be in full production usage by November 2011.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Executing the Migration to Cloud to Enable Scalability and Innovation

Cloud-based services and processing have become essential to financial institutions as their data management demands have become more complex and expansive. Thousands of organisations have made the jump from their limited on-premises tech stacks to the near-infinite scalability opportunities of public and private clouds. They have also been motivated by the need to modernise their...

BLOG

12 Leading Providers of Semantic Layers in Modern Capital Markets Data Stacks

Reconciling fragmented financial data across disparate trading systems, risk engines and regulatory reporting pipelines is a challenge that frequently results in conflicting analytical outputs, costly reconciliation cycles, and elevated operational risk under frameworks like BCBS 239 and FRTB. The enterprise response has been a move away from continuous database consolidations towards centralised semantic layers. Positioned...

EVENT

TradingTech Summit New York

Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...