Deal activity is back, and so is the reporting bottleneck
Private equity transaction volumes have picked up, and much of that recovery is running through continuation vehicles. For general partners, these structures solve a real problem: they extend the holding period of quality assets while offering existing investors an exit route. For limited partners, they create a different one. A single position can now sit across an original fund, a continuation vehicle and, in some cases, a secondary interest, each with its own reporting cycle, its own valuation basis and its own document format.
The consequence shows up in LP sentiment. Recent investor surveys indicate that more than a third of limited partners rank insufficient transparency and late GP reporting as their primary source of friction with managers, ahead of fee levels and ahead of performance itself. That ordering matters. It suggests the issue is not what GPs are delivering, but when it arrives and in what form.
It also cuts across investor types. Pension schemes, insurers, sovereign wealth funds, funds of funds, endowments and family offices operate under very different mandates and governance frameworks, but they sit on the same side of the same pipe. Each of them receives private markets data as documents rather than as data.
The transparency gap is operational, not relational
It is tempting to read LP frustration as a governance question, resolved through better side letters or stronger reporting clauses. In practice, most of the gap is mechanical.
A pension scheme running delegated multi-mandate allocations may hold 150 funds spread across 45 asset managers, alongside dedicated funds and direct lines. An insurer subject to Solvency II may need several hundred funds looked through on a fixed regulatory calendar. A fund of funds cannot report anything meaningful to its own investors without seeing through to the underlying holdings. A single family office with 40 GP relationships faces a smaller version of the same problem, with a smaller team to absorb it.
In every case, capital call notices, distribution statements, quarterly reports and valuation schedules arrive as PDF files and Excel workbooks, each structured differently. Someone has to open every document, locate the relevant figures, retype them into a spreadsheet, reconcile them against the previous quarter and investigate any discrepancy before a consolidated view can be produced.
That workload scales linearly with every new commitment, and institutional teams are rarely reinforced in proportion. In one representative pension scheme engagement covering roughly 35 billion euros in assets, consolidated portfolio reporting was produced manually by a team of four and consumed 35 per cent of their total workload.
Teams respond in the only way available to them: they reduce frequency. Quarterly reporting becomes semi-annual, and semi-annual becomes annual. The transparency the LP asked for is lost not because the GP withheld it, but because the receiving organisation cannot process it fast enough.
Three consequences follow. Aggregate exposure by issuer, sector and geography is never truly known, because it can only be assembled manually. Performance ratios are calculated on approximations rather than on actual banking flows. And liquidity planning becomes guesswork, precisely when unfunded commitments and slower distributions make it most consequential.
Step one: automated extraction from GP documents
The starting point is to remove manual data entry from the chain entirely.
Quantilia connects directly to the sources: GP investor portals, SFTP transfers, dedicated mailboxes and Excel templates sent to managers. Structured and unstructured content is extracted automatically, combining code-based parsing with AI for the document formats that resist rule-based approaches. Capital call notices, distribution statements, NAV releases, portfolio company factsheets, prospectuses and sustainability reports all enter the same pipeline.
Two points distinguish this from generic document processing.
The first is validation. Up to 550 automated quality controls are applied to incoming data: NAV cross-checks, reconciliation between sources, variance detection against prior periods and automatic alerts when a figure falls outside expected tolerances. Errors are identified before the data reaches your reporting layer, not after a trustee board, an investment committee or a regulator has queried a report.
The second is traceability. Every valuation and every return figure remains clickable back to the source GP document that produced it. Complete historisation and auditable lineage are a baseline requirement for regulated investors, not a convenience.
This is delivered as an operated service rather than a piece of software handed over at go-live. Quantilia’s teams monitor incoming flows, chase GPs when documents are late, run the controls and correct proactively. Where a manager requires it, we sign tripartite agreements to collect inventories on your behalf.
Step two: lookthrough to the portfolio company level
Extraction produces clean data. Lookthrough is what makes it useful.
Quantilia identifies holdings line by line within each fund and consolidates them into a single view across your entire private book. In a representative client engagement covering 180 PE funds, this meant automatically extracting around 80 data points per underlying company, then running consistency tests and validation within one platform.
What that unlocks is genuine aggregate exposure monitoring. Not the exposure your funds report at fund level, but the exposure you actually hold at the level of the operating companies: by country, by sector, by investment strategy, by vintage. Overlap and concentration between funds become visible, including the case that continuation vehicles make increasingly common, where the same asset is held through two or three different structures at two different valuation marks.
For institutional investors, this is frequently where the strongest internal pressure sits. The inability to determine a position at issuer, country or sector level across multiple funds is a recurring finding in pension and insurance portfolios, and it blocks concentration analysis, limit monitoring and regulatory production at the same time. Lookthrough is applied to 100 per cent of funds, displayed at portfolio, sub-portfolio and fund level, so that risk, compliance and reporting teams work from one dataset rather than three reconstructions of it.
Step three: ratios built on actual cash flows
Performance measurement in private markets is only as sound as the flow data underneath it. Quantilia categorises every movement precisely: investment, fees, interest, return of capital, capital gain, recallable distribution. Commitments are tracked in aggregate, showing what has been called and what remains outstanding by fund, by manager and by date.
TVPI, DPI, RVPI and investor IRR are then calculated on the real flows recorded in the bank account, not on averages, proxies or manager-reported figures. The distinction is not academic. Recallable distributions treated as final distributions inflate DPI. Fees netted inconsistently distort TVPI. When these ratios support an investment committee decision on re-upping with a manager, or feed a manager review presented to a trustee board, the categorisation of each flow is the analysis.
Step four: liquidity forecasting and commitment pacing
Knowing where you stand is necessary. Knowing what is coming is what allows you to act.
Quantilia projects future capital calls and distributions fund by fund, applying either the Yale model or proprietary models depending on the characteristics of each fund and its underlying assets. Individual projections are then aggregated into a consolidated portfolio view usable for treasury management.
The practical output is a pacing tool. It supports the decision on how much to commit next, and when, in order to maintain a target allocation without holding excessive cash or facing an uncomfortable call at the wrong moment in the cycle. For a pension scheme with defined benefit obligations, or an insurer managing asset and liability matching, that projection is not an optimisation exercise, it is part of the mandate. In a market where distributions have slowed and secondary pricing moves quickly, forward visibility has direct value for every investor type.
The same chain, different mandates
The processing chain is identical. What differs is the output each organisation needs from it.
Pension schemes and delegated multi-mandate allocators. The challenge is breadth: many managers, many mandates, a mix of pooled funds, dedicated funds and direct lines. In the representative engagement referenced above, one platform was deployed in 14 weeks with no IT system replacement, lookthrough was automated on 100 per cent of funds line by line, and consolidated reporting production fell to two days per month. Reporting that had been annual on certain topics became monthly.
Insurers under Solvency II. Private vehicles held by regulated insurers fall into the same prudential perimeter as the listed book. Quantilia computes market risk sub-modules and aggregates them up to the overall SCR, generates the quantitative templates in EIOPA format, and maintains full traceability of data, assumptions and calculations to meet supervisory expectations. In one representative insurer engagement covering 250 looked-through funds plus direct lines, QRT production and SCR computation were automated on a D+12 cycle, with the platform integrated into the insurer’s own risk system by API.
Funds of funds and delegated managers reporting to multiple investors. Lookthrough is not an analytical refinement here, it is the product. The 180-fund engagement referenced earlier was precisely this configuration: delegated management with multi-investor reporting, complex validation workflows, and data produced by Quantilia integrated into the client’s main system so that intermediate spreadsheets could be retired.
Endowments, foundations and family offices. The constraint is usually team size rather than portfolio size, and the private book sits next to listed positions, real estate, direct participations, art and other non-bankable assets held across many custodians. Here the private equity modules typically arrive alongside multi-bank consolidation, so that the whole balance sheet appears in one consolidated view.
Sovereign wealth funds and large asset owners. Multiple teams with different needs consume the same underlying dataset: front office, risk, compliance, finance and external reporting. Modules are activated selectively for each, without duplicating the data layer.
What changes for the receiving organisation
The measurable effect is capacity. In the 180-fund private equity engagement, report production time fell by 85 per cent, which allowed the client to move from annual and semi-annual reporting to a quarterly cycle. In the pension scheme engagement, monthly consolidated reporting came down to two days of work. More broadly, PE teams working with Quantilia recover up to 70 per cent of the time previously spent on document processing and redirect it to analysis.
The reporting cycle starts with interpretation rather than with collection. And the LP-GP conversation shifts with it. Instead of asking managers to report differently, the investor becomes able to process what managers already send, at the frequency the investment process and the regulatory calendar actually require.
In practice
Quantilia has been building this infrastructure for institutional investors since 2017. The platform now draws on more than 650 connected data partners, including general partners, custodians, asset managers and market reference providers, across 8 countries, with European hosting and ISO 27001 certification. All modules are activated selectively, without system replacement or migration.
If your private markets reporting still begins with opening PDF files, the constraint is not your managers.
