More data. More complexity.
Filings, disclosures and hybrid business models are increasing the amount of evidence analysts need to reconcile.
Expert financial
analysis.
At machine scale.
Forensic accounting intelligence that preserves context, surfaces risk and scales expert review.
02 / THE PROBLEM
Financial truth is being diluted.
AI scales both insight and error.
Models can process more information, but weak evidence and missing context can propagate faster too.
Disconnected systems fragment the picture.
Critical evidence often sits across filings, datasets and workflows, making it harder to reconcile a single reliable view.
Legacy data structures waste compute.
Sparse, inefficient datasets increase processing overhead instead of focusing compute on the information that matters.
BUSINESS IMPACTS
- Material risks overlooked
- Poor decisions
- Missed opportunities
- Limited coverage
- Inconsistent conclusions
- Slower analysis
- Higher review costs
- Weak AI outputs
- Repetitive manual work
- Lower confidence
- Cross-sector risks missed
- Higher infrastructure costs
AI is only as useful as the financial evidence it can reliably retrieve.
02 / OUR SOLUTION
Preserve the evidence.
Apply the
intelligence.
Helmledgers expands standard review inputs into a richer, point-in-time view of the filing, then applies accounting-aware logic to surface what matters.
Talk to the team
14
Pillar structured framework for deep analysis
A consistent review model that ensures the most important areas of financial risk are systematically assessed.
40
Sector and protocol overlays that surface non-obvious risk
Industry-aware checks built to catch issues traditional siloed workflows often miss.
100s
Industry signals cross-referenced to sector risk
Sector-specific disclosures and signals are mapped together so emerging issues are easier to identify earlier.
03 / THE IMPACT
What better evidence changes.
Better evidence means less time reconciling data, fewer hidden risks, greater confidence and broader coverage.
FOR ANALYSTS AND DECISION-MAKERS
Faster analysis
Automate the exhaustive first-pass review so analysts spend less time finding and reconciling evidence and more time interpreting it.
Lower risk
Traceable, contextual evidence reduces the chance of decisions being built on the wrong fact.
Higher confidence
Analysts can see the source, treatment and historical context behind each finding.
Broader coverage
Review more filings, periods and cross-sector risks without scaling analyst headcount at the same rate.
ROI CALCULATOR
Estimate your
analyst time savings.
Model your current review workflow and see the potential impact on analyst hours, review cost and filing coverage.
Open ROI CalculatorFilings analysed1,200+4× coverage
Analyst hours reduced320 hrs~70% less time
Key findings increase2.3×More relevant insights
Cumulative analyst hours
Manual reviewWith Helmledgers
~70%fewer analyst hours
05 / INDUSTRIES & APPLICATIONS
Built for different questions.
Grounded in the same evidence.
Institutional Research
Review filings faster, preserve source context and surface the accounting nuance needed for conviction.
Corporate Finance / Strategic Analysis
Trace commitments, disclosures and cross-period changes so emerging risk is easier to spot earlier.
Forensic Accounting & Audit
Surface estimate changes, policy shifts and traceability gaps that standardised datasets can hide.
Financial AI & Data Platforms
Feed models and workflows with evidence-grounded inputs instead of lossy, decontextualised data.
Investment Research
Turn the same filings into faster, more defensible questions, views and diligence workflows.
AI does not improve poor data. It scales it.
Deloitte.
07 / GET STARTED
Message us and see what changes when you analyse the filing, not just the dataset.
Talk to our team about your use case, data coverage or a tailored pilot. We’ll show you what deeper analysis can uncover.
Real use casesSee value in your context
Expert guidanceFrom analysts, not sales
Quick to startGet to insight, faster