By: Dmitri Sedov
Chief Data & Analytics Officer
September 30, 2025
Private capital is scaling faster than ever. More funds, more strategies, and rising demands from LPs and regulators are putting unprecedented pressure on how firms operate. At the SuperReturn CFO/COO conference in Amsterdam, I was joined for a fireside discussion by Alter Domus’ Head of Cloud Platforms Remi Minnebo, and MEP Capital CEO Andrew Kotliar. The conversation focused on how private capital firms can scale effectively, unlock the value of data, and adopt AI in a practical and trustworthy way.
Scaling Up: The Pressure to Grow Smarter
As private markets expand, firms face the challenge of scaling without losing control. Too often, fund managers default to adding headcount or tools when growth accelerates. But the real unlock lies in refining processes and mastering data first, then layering in technology.
Fund administrators like Alter Domus see firsthand how operational pain points accumulate when data, reporting, and compliance demands rise in parallel. General Partners, like MEP Capital, share a similar view: sustainable scale comes not from patching gaps, but from aligning teams, processes, and systems so the back office can keep pace with investment and fundraising activity.
Across the industry, the common bottleneck is fragmented data spread across front, middle, and back office systems and processes. Without a unified, governed layer, it’s challenging to meet reporting deadlines, communicate consistently with LPs, or prepare for the AI-enabled workflows already reshaping operations.
Data as the Foundation for Decision Making
Data’s role in private capital extends beyond efficiency. It is now a strategic asset. Firms that treat fund accounting records and administrative workflows as living data outputs rather than static documents are building a foundation for smarter reporting, faster closes, and more confident investment decisions.
When operational data is structured and unified, it becomes far more powerful: enabling portfolio health monitoring, benchmarking against peers, and covenant analytics across the lifecycle. This is no longer optional. With investor scrutiny rising, managers must prove that their reporting is consistent and their decision-making anchored in trusted information.
Technology and data solutions like Allvue’s Nexius Data Platform and Nexius Intelligence are helping firms meet this need by creating a single source of truth and embedding market benchmarks directly into workflows. This enables managers to speed negotiations, support LP reporting, and reduce duplication across teams.
AI in Private Capital: Real Today, Transformational Tomorrow
AI remains top of mind across the industry, but hype is giving way to a more measured, pragmatic adoption curve. The consensus: AI is already useful in deterministic, rules-based tasks such as reconciliations, exception handling, and report drafting. These applications deliver efficiency gains without compromising accuracy.
For front-office workflows, AI is beginning to augment, rather than replace, human judgment. Many firms liken it to an “enthusiastic intern”: capable of accelerating screening or monitoring, but still reliant on human oversight, transparency, and strong audit trails. Over time, as explainability tools improve and data governance matures, AI will move deeper into forecasting, covenant monitoring, and deal analysis.
Balancing Boldness with Discipline
The message from across the panel was clear: AI is not a panacea, but it is too important to ignore. Firms that succeed will combine controlled experimentation with disciplined data readiness and governance. This means running pilots, creating “safe playgrounds” for innovation, and ensuring compliance guardrails are in place.
For technology providers like Allvue, the path forward is to make AI adoption incremental and low-risk, for example by embedding assistants like Allvue’s Andi AI into existing workflows and ensuring they operate on a foundation of trusted data. This approach fosters adoption, builds confidence, and avoids the disruption that comes with “rip and replace” systems.
The Road Ahead
The takeaway from Amsterdam: private capital’s future will be shaped not by AI alone, but by the intersection of process discipline, data readiness, and responsible technology adoption.
Fund administrators must turn documentation into structured data to accelerate closes and enhance reporting.
GPs must refine processes and master data before layering in new technology, ensuring operations and portfolio teams “speak the same language”.
Technology partners must deliver the governed data and AI-enabled workflows that allow firms to scale confidently.
Together, these elements set a new performance standard for private markets: one where firms can grow without losing control, make decisions based on consistent intelligence, and adopt AI with clarity and trust.
Reshaping Private Capital Operations: Nexius Data Platform, Nexius Intelligence and Andi AI
Allvue is leading the way in enabling private capital firms to drive efficiency, scale, and better investment decision making using advanced data analytics and artificial intelligence.
- Allvue’s Nexius Data Platform unlocks high impact, data-driven insights for private capital markets, with API-driven data management, automated workflows and consolidated reporting.
- Allvue Nexius Intelligence provides private credit data, analytics, and benchmarks that enable stronger credit modeling, sharper comparisons, earlier risk detection, and more efficient oversight.
- Andi AI is a browser-based AI assistant powered by Allvue’s Agentic AI Platform, providing real-time, in-platform support for its Credit Front Office and Fund Accounting solutions.
More About The Author
Dmitri Sedov
Chief Data & Analytics Officer
Dmitri Sedov is an accomplished data and product executive with a long-standing track record of driving innovation across financial technology and capital markets. His expertise includes AI strategy, data platform development, and leading analytics transformation at scale. Most recently, Dmitri was SVP and Group Head of Product at LSEG, where he partnered with Microsoft to launch an AI-enabled cloud platform that redefined data access for financial professionals. Prior to LSEG, he held senior leadership roles at Nasdaq, Preqin, and S&P Global, where he led global teams across product, data, and analytics functions. Dmitri is responsible for expanding Allvue’s workflow ecosystem with AI-powered data platforms, real-time analytics, and trusted insights to support smarter, faster decision-making for private capital markets. He holds an MBA from Pace University’s Lubin School of Business and degrees from NYU, University at Albany, and Moscow State University.
