ROYC Makes AI the Operating Layer of Private Markets
At an event in Stockholm today, ROYC shared an update on its AI strategy, with AI now embedded across both its internal operating model and its platform serving fund administrators, general partners, limited partners, and distribution partners.
Private markets continue to grow across both institutional and wealth channels. But as activity increases, a different constraint becomes more visible. Core processes such as fund onboarding, document handling, capital events, and reporting are complex and rely heavily on manual coordination and analogue processes.
ROYC has focused on addressing this by embedding AI into the workflows themselves, rather than applying it as a separate layer on top. The aim is simple: connect processes end-to-end and allow more of the work to be handled within the system, instead of being coordinated across people and tools.
“We made an early decision to treat AI as embedded into how the platform works, not something added afterwards,” said Peter Bergenwald, CTO of ROYC. “Private markets depend on workflows across multiple systems and people. What we are doing is building logic into the platform, so those processes can run in a more consistent and controlled way.”
AI capabilities are now applied across the platform, including amongst other things:
- extracting and structuring data from fund documents,
- supporting onboarding and operational workflows,
- assisting reporting processes for GPs and LPs,
- identifying inconsistencies in fund operations, and
- enabling structured access to fund data through natural language interfaces.
These capabilities are designed to work within the realities of private markets, where workflows are connected, decisions depend on context, and accuracy is critical.
Internally, the same approach is applied across engineering, product, fund operations, and legal functions. This has improved execution speed and consistency, with what is learned internally feeding directly into how the platform evolves.
“The objective has not been to automate individual tasks, but to improve how processes run from start to finish,” said Jonas Lundberg, Chief Architect and AI Lead at ROYC. “That means connecting how data is interpreted with how workflows are structured and controlled.”
ROYC’s AI strategy is implemented within a regulated framework. All use cases are designed to comply with GDPR, ISO 27001, and fund-specific data requirements. Human oversight remains in place for client-impacting decisions, and client data is not used for model training.
The platform is built on a serverless architecture on AWS and follows an AI model-agnostic approach, allowing ROYC to integrate external AI models while developing proprietary capabilities where needed.
“The focus has been on staying in control of how AI is applied, rather than relying on a single AI model or provider,” said Bergenwald. “That flexibility matters in a space where both the technology and the requirements are evolving quickly.”
ROYC is embedding AI into its platform to execute core workflows across fund structuring, operations and distribution. This reduces manual processes to review and approvals which allows clients to scale private markets activities without increasing operational complexity.
About ROYC
ROYC's mission is to accelerate private market distribution and revenue growth across EMEA and APAC. We are the leading AI-driven private markets infrastructure platform making it easy, scalable, and revenue-generating for Wealth Managers and Asset Managers to launch, market, and operate funds across all key markets.
Where others offer point solutions, ROYC delivers the full stack: fund structuring, distribution infrastructure, and digital operations purpose-built for scale. Firms use ROYC to launch faster, distribute wider, and grow revenues. Without building it themselves.