Build the Data Foundation for AI
AI is becoming a strategic necessity, but right now, the path forward is unclear and the risk of getting it wrong feels high.
Without fit-for-purpose data and systems, teams remain reliant on spreadsheets, manual workarounds, and disconnected information, making it hard to scale and use AI meaningfully.
For many fund managers, the issue is not a lack of data. It is that the data sits across too many systems. Reliance on manual reporting drives the cost of getting the right insights sky high. A modern data warehouse creates a trusted foundation for reporting, oversight, and AI.
Problems We Solve
1. Inefficient manual reporting across your teams
2. Poor data foundation for AI
3. High costs from bespoke vendor-led solutions
Our work is most valuable for COOs and asset management leaders who are ready to invest in AI and data as growth levers.
What to Expect
We partner with you through a focused, low-friction build process: ingesting your data, co-designing visualisations, and iterating quickly. You’ll see and test solutions before they go live.
1. Review
- We help you assess reporting across operations, performance, holdings, flows, attribution, unit registry, and distribution.
- Identify manual processes, spreadsheet reliance, and data gaps.
2. Design
- Design a custom single source of truth for your workflow
- Define the future-state warehouse architecture, data model, and reporting framework to unify data across the business.
3. Engineer
- Connect custodians, fund admin, unit registry, CRM, platforms, holdings reports, and internal files into a governed, reconciled data warehouse.
4. Go Live
- Launch trusted dashboards, validate outputs, and support adoption across the business.
- Establish a scalable data foundation for sharper decisions today and AI capability tomorrow.