Industry Resources

A portfolio manager at a private capital firm needs to answer a series of questions that span investment decisions, LP reporting, and fund strategy. Most of those questions today get answered through manual aggregation across fund administrator statements, general ledger entries, asset-level performance tools, and Excel models built over years. By the time the answer arrives, the underlying data is 60 to 90 days old. The question is whether the right architecture can change that, and what the architecture actually needs to be.

Parallel vehicles, co-invest, AIVs, side letters — the structural complexity that defines modern private funds is also the operational burden that defines them. The funds that treat complexity as a strategic advantage — saying yes to bespoke LP terms others decline — share one thing in common: they manage the obligations in code, not in spreadsheets.

Maybern's white-glove implementation handles 75-95% of the work so your finance team stays focused on fund operations - not software rollouts.

In the world of private debt and private equity, every basis point counts. Fund managers are constantly seeking ways to optimize returns for their limited partners (LPs). One often overlooked component that can significantly impact investor internal rate of return (IRR) is the timing of management fee break rebate distributions. In this post, we'll explore how more frequent fee break distributions can maximize returns for those investors with fee breaks, and how Maybern's integrated platform makes this process operationally feasible.

One of the most significant risks General Partners (GPs) face is the potential for clawback — the obligation to return previously distributed carried interest due to subsequent underperformance. Advanced waterfall tools and comprehensive data management systems (like Maybern) can help mitigate this risk.

Cashless contributions let GPs reallocate management fee income into a profits interest — tax-efficient on paper, operationally brutal in practice. How the structure works, where it breaks, and what changes when allocations track in code.

Sophie Mester, Director of Product at Maybern, has seven years of product experience building B2B software across different industries. Previously, she led the Platform Product team at Orchard (a real estate technology company) and worked on SeatGeek's Enterprise Product team building product solutions for large sport franchises.

COSO's 2026 generative-AI guidance and PCAOB AS 2201 raised the audit bar for AI in fund accounting. Internally-built AI cannot answer the two questions every auditor will now ask: can you prove what the AI saw, and can you prove it's the same system that ran last quarter. Audit-ready AI in fund accounting is an architecture decision: AI used at build time to generate validated logic, deterministic code at run time, tamper-evident audit trails, and platform-level maker/checker.