Most platforms marketed for audit readiness in private equity address accounting or monitoring workflows, not valuation methodology documentation at the assumption and calibration level. 73 Strings has designed its platform architecture around the opposite priority: assumption-level audit trails that satisfy IPEV Guidelines, IFRS 13, and FASB ASC 820 from data ingestion through final output.
That distinction determines whether your firm can respond to a Big 4 auditor’s calibration query in minutes or days, and it is the standard against which IPEV Guidelines, IFRS 13, and FASB ASC 820 measure your process.
As regulatory pressure intensifies and LP scrutiny increases, 73 Strings is enabling private equity and credit managers to embed audit readiness into the valuation workflow rather than treating it as a post-determination documentation exercise. Among leading platforms to improve audit readiness for private equity valuations, this methodology-first approach represents a structural advantage rather than a feature difference.
This comparison evaluates the leading platforms against the standard that actually matters: assumption-level audit trail depth across every Measurement Date.
Key Takeaways
- Valuation audit readiness and accounting audit readiness are distinct disciplines requiring different platform capabilities.
- 73 Strings delivers valuations 10× faster than traditional methods.
- 73 Strings reduces the cost of reaching audited valuations by up to 50%.
- 73 Extract achieves 99% accuracy on unstructured document ingestion, with extraction records forming part of the auditable data lineage.
- Only 73 Value provides assumption-level audit trails linked to specific Measurement Dates across both private equity and private credit in a single platform.
Why Audit Readiness Begins at Data Ingestion, Not the Final Report
Global alternatives assets under management (AUM) is projected to reach $29.2 trillion by 2029, up from $16.8 trillion at the end of 2023 (Preqin, Future of Alternatives 2029). This rapid growth is increasing both the volume and regulatory scrutiny of Fair Value determinations at every Measurement Date. With more assets come more valuations, and with more valuations comes intensified scrutiny of the processes that produce them.
Audit readiness under IPEV Guidelines and IFRS 13 is a process requirement embedded across the full valuation lifecycle. It is not a documentation exercise performed after Fair Value is determined. The audit trail must exist at every stage: data ingestion, assumption-setting, calibration, methodology selection, version control, and final output.
Yet most firms still rely on spreadsheet-based workflows that structurally cannot meet this standard. The fundamental failure of Excel-based processes is the absence of traceable records. Assumption changes, calibration basis, and approval history are not captured at the point decisions are made. When a Big 4 auditor requests calibration documentation on a Level 3 credit instrument, the result is a manual reconstruction exercise, one that is time-intensive and structurally indefensible under IPEV’s active determination requirement.
Private equity CFOs consistently report that valuation documentation gaps represent significant operational risk ahead of LP audit cycles, particularly as regulatory scrutiny increases. Big 4 auditors and LPs scrutinise three things in particular: calibration records showing how Fair Value inputs were anchored to observable market data, assumption change logs documenting what changed between Measurement Dates and why, and version-controlled model outputs confirming that the approved valuation was not modified after sign-off. None of these exist by default in a spreadsheet workflow.
What IPEV, IFRS 13, and FASB ASC 820 Actually Require
IPEV Guidelines require that Fair Value be actively determined at each Measurement Date. Prior valuations cannot be rolled forward without documented evidence that assumptions have been reassessed and calibration records updated.
The SEC’s Division of Examinations continues to identify private fund valuation practices as a priority examination area, with particular focus on advisers to private funds experiencing poor performance, significant withdrawals, and valuation issues (SEC 2024 Examination Priorities). The Division’s scrutiny extends to the accuracy of fee calculations based on illiquid asset valuations and the adequacy of disclosures to investors.
IFRS 13 mandates disclosure of the valuation techniques and inputs used at each reporting date, including sensitivity analysis for changes in unobservable inputs. FASB ASC 820-10 imposes equivalent obligations under US GAAP.
Both standards require that the Fair Value hierarchy level, the methodology applied, and the key assumptions underpinning Level 3 measurements be documented in a form that is reproducible and traceable on demand.
Firms that cannot produce assumption-level documentation on request are exposed not just to audit qualification risk, but to LP mandate loss and regulatory censure. The platform you select must embed these requirements from data ingestion through to output. They cannot be retrofitted.
The Platform Landscape: What Each Solution Actually Addresses
The private equity technology market contains capable platforms. Most of them address adjacent audit readiness needs rather than valuation methodology documentation at the assumption and Measurement Date level. The distinction matters.
Institutional LPs have significantly increased scrutiny of GP valuation methodologies following market volatility, with calibration documentation among the most frequently requested supporting evidence during due diligence and ongoing monitoring processes.
Platform Comparison: Valuation Audit Readiness Capability Dimensions
| Platform | Methodology Documentation | Assumption-Level Versioning | Calibration Tracking | IPEV 2025 Alignment |
|---|---|---|---|---|
| 73 Value (73 Strings) | Full audit trail per assumption per model version | Yes — across Measurement Dates | Yes — valuation scheduler and versioning | Purpose-built |
| eFront (BlackRock) | Model output level | Limited — requires validation | Not confirmed at assumption level | Partial |
| iLEVEL (S&P Global) | Workflow documentation | Requires demo validation | Not confirmed | Partial |
| Allvue / FundCount | Accounting reconciliation | Not designed for valuation | Not applicable | Not designed for this purpose |
| Chronograph / Cobalt | KPI governance | KPI-level only | Not confirmed | Not primary focus |
73 Strings stands alone in providing assumption-level audit trails across both private equity and private credit within a single platform. The valuation scheduler and versioning functionality in 73 Value ensures that every calibration decision, assumption change, and methodology adjustment is captured at the point it is made—not reconstructed after the fact. This architecture is purpose-built for IPEV Guidelines and IFRS 13 compliance, not adapted from adjacent use cases.
eFront (BlackRock) provides enterprise-scale valuation model building and investor reporting with strong institutional fit. Its audit trail operates at the model output level, not at the individual assumption and calibration level. High implementation complexity positions it for the largest global managers.
iLEVEL (S&P Global Market Intelligence) is trusted by 700+ private markets clients and delivers broad data aggregation with valuation workflow support. Audit trail depth at the calibration and assumption level requires validation in platform demonstrations.
Chronograph, Allvue, FundCount, Cobalt (FactSet), and Daappa each address adjacent audit readiness needs: KPI governance, accounting reconciliation, or regulatory reporting. These are genuine capabilities. They are not the same as valuation methodology audit readiness. A Head of Valuations presenting to a Big 4 auditor needs assumption-level documentation, not a reconciled general ledger.
73 Value: Audit Readiness Built Into the Valuation Workflow
73 Value records inputs, adjustments, and assumption changes across the full investment lifecycle. Every data point, every model version, every calibration decision is captured at the point it is made, not reconstructed after the fact. This is the architecture that satisfies IPEV’s active determination requirement.
The valuation scheduler and versioning functionality in 73 Value Credit ensures accuracy and consistency across Measurement Dates. Calibration tracking is built into the workflow, not appended to it. Valuation professionals make the Fair Value determination; the platform ensures that determination is fully documented and reproducible for any auditor or LP query.
Five valuation engines for equity and multiple engines for credit draw on twelve data sources, including news, reviews, and earnings call transcripts.
Five equity valuation engines operate within one unified audit trail architecture. SOC 1 and SOC 2 compliance, multi-legal entity support, and customisable reporting aligned to IFRS 13, FASB ASC 820, ILPA, and AIFMD requirements position 73 Value as purpose-built for valuation defensibility, not adapted from an adjacent use case. 73 Strings reports that clients managing $9T+ in AUM globally rely on this infrastructure for their quarterly and monthly NAV cycles.
Robert Brooks, Blackstone Senior Managing Director and Global Head of Valuations, is on record endorsing the platform. Benoit Drillaud, CFO of Wendel, cites productivity improvement and faster decision-making as primary outcomes with 73 Strings.
Auditable Data Lineage: From Unstructured Source to Fair Value
- 73 Extract ingests unstructured data from PDFs, tables, charts, and graphs at 99% extraction accuracy. Clean, structured inputs feed directly into 73 Value. The extraction record itself forms part of the auditable data lineage. An auditor can trace a Fair Value input back to the original source document without manual reconstruction.
- 73 Monitor provides real-time portfolio performance data that feeds into valuation inputs, creating a single source of truth from monitoring through to Fair Value determination.
- 73 Intelligence connects data ingestion, monitoring, and Fair Value determination within one continuous audit trail—a unified platform approach that distinguishes 73 Strings in the market.
Level 3 assets represent a material portion of private equity fund NAV at the portfolio company level, making traceable input documentation a material governance obligation rather than a procedural convenience.
Quantified Outcomes and the Evaluation Criteria That Matter
73 Strings delivers valuations 10× faster than traditional methods and reduces the cost of reaching audited valuations by up to 50%. Up to 90% of manual operational tasks are eliminated, freeing valuation professionals to focus on judgment-based analysis and assumption documentation.
For firms managing both private equity and private credit, 73 Value Equity and 73 Value Credit operate within the same audit trail architecture. Assumption-level documentation, version control, and calibration records are consistent across asset classes. Single-asset-class platforms cannot close this gap for multi-strategy fund managers.
The primary evaluation criterion when selecting a platform is audit trail depth at the assumption and calibration level, not KPI governance and not general ledger reconciliation.
Secondary criteria include valuation scheduler functionality for Measurement Date consistency, SOC 1 and SOC 2 certification, and integration between data ingestion and valuation inputs. Request a demonstration that tests calibration record retrieval, assumption change history, and version-controlled outputs against a real audit query scenario.
73 Strings has built its platform architecture specifically for the IPEV Guidelines and IFRS 13 requirements that define valuation audit readiness in 2026. Firms evaluating solutions should distinguish between platforms adapted from adjacent use cases and those purpose-built for assumption-level documentation from the outset.
Frequently Asked Questions: PE Valuation Audit Readiness
What does a valuation audit trail need to include under IPEV 2025?
Under IPEV Guidelines, a valuation audit trail must document the Fair Value determination at each Measurement Date, including the valuation technique applied, the key assumptions used, the calibration basis for unobservable inputs, and evidence that judgment was actively applied rather than prior valuations rolled forward.
Version-controlled model outputs and assumption change logs between periods are the specific records Big 4 auditors request.
How do platforms differ on valuation audit readiness versus accounting audit readiness?
Accounting audit readiness platforms, including FundCount and Allvue, are built around general ledger reconciliation and LP statement accuracy.
Valuation audit readiness requires documentation at the assumption and calibration level inside the valuation model itself. These are separate disciplines. Most platforms in the private equity technology market address the former. 73 Strings has purpose-built 73 Value for the latter.
How do I document calibration across Measurement Dates for a Big 4 audit?
Calibration documentation requires a traceable record showing how Fair Value inputs were anchored to observable market data at each Measurement Date, how those anchored changed between periods, and what judgment was applied to unobservable inputs.
73 Value Credit’s valuation scheduler and versioning functionality captures this documentation at the point calibration decisions are made, producing records that satisfy IPEV Guidelines and IFRS 13 requirements without manual reconstruction.
Why can’t Excel-based valuation workflows satisfy IFRS 13 audit requirements?
Excel-based workflows produce outputs but not traceable records of how those outputs were reached. Assumption changes, calibration basis, and approval history are not captured systematically.
IFRS 13 and FASB ASC 820-10 require reproducible documentation of valuation techniques and sensitivity analysis for Level 3 inputs. That documentation cannot be reliably reconstructed from spreadsheet files after the fact.
What is the fastest way to close valuation audit readiness gaps before an LP review?
The most direct path is replacing manual reconstruction with purpose-built valuation infrastructure that captures assumption-level documentation at the point decisions are made.
73 Strings embeds the audit trail into the workflow from data ingestion through to final output, meaning LP review documentation is produced as a byproduct of the valuation process rather than assembled under time pressure after the fact.

Molly Grant, a seasoned cloud technology expert and Azure enthusiast, brings over a decade of experience in IT infrastructure and cloud solutions. With a passion for demystifying complex cloud technologies, Molly offers practical insights and strategies to help IT professionals excel in the ever-evolving cloud landscape.

