Find what matters
Surface material findings and rank the areas that deserve closer scrutiny.
Uncover what others miss in company filings.
Helmledgers interrogates SEC filings to surface material changes, hidden accounting signals and questions worth asking management, with every finding traceable to the underlying evidence.
CASE STUDY · ICON PLC
The 2024 filing showed where to look.
Point-in-time backtest: analysis of ICON plc's 2024 Form 20-F as filed.
Helmledgers flagged contract balance netting as a key review area and surfaced the questions that later mattered.
Sources:2024 Form 20-F12 Feb 2026 Investigation Disclosure27 May 2026 Investigation Outcome
Illustrative of the analysis. Not investment advice.
THE HIDDEN RISKS
Surface the signals that change the quality of the decision.
Risk
Mitigation
Identify material accounting risks hidden across company filings, before they become obvious in reported results or market reactions.
Challenge
Harder
Turn source-linked filing evidence into sharper questions for management, stronger due diligence and more focused research.
Stronger
Calls
Make higher-conviction decisions with the underlying disclosures, accounting logic and supporting evidence behind each finding.
CASE STUDY · ICON PLC
The 2024 filing showed where to look.
Point-in-time backtest: analysis of ICON plc's 2024 Form 20-F as filed.
Helmledgers flagged contract balance netting as a key review area and surfaced the questions that later mattered.
12 Feb 2026 · Subsequent public disclosure · ICON plc −39.9%
Sources:2024 Form 20-F12 Feb 2026 Investigation Disclosure27 May 2026 Investigation Outcome
Illustrative of the analysis. Not investment advice.
Contract balances (net)
ICON reported unbilled services netted against customer advances in a tag it created itself.
Top of 25 company-created labels
ICON created 25 of its own data labels in the filing. Our screen ranked this one as the first to review.
Gross unbilled vs. gross advances?
Should balances be assessed gross or net, and at contract or portfolio level?
Eligible contract assets and liabilities
ICON later disclosed they had not been fully identified for offset.
THE HIDDEN RISKS
Surface the signals that change the quality of the decision.
Risk
Mitigation
Identify material accounting risks hidden across company filings, before they become obvious in reported results or market reactions.
Challenge
Harder
Turn source-linked filing evidence into sharper questions for management, stronger due diligence and more focused research.
Stronger
Calls
Make higher-conviction decisions with the underlying disclosures, accounting logic and supporting evidence behind each finding.
THE PLATFORM
Preserve the evidence. Apply the intelligence.
Helmledgers turns SEC filings into structured, evidence-linked analysis, applying sector-specific protocols to surface material changes, hidden signals and questions worth investigating.
Trace the evidence
Every finding links to the filing disclosure behind it, so analysts can verify the source.
See what changed
Track new, removed, reworded and materially changed disclosures across periods.
Ask better questions
Turn filing evidence into specific questions for management, lenders and investment teams.
THE METHODOLOGY
From filing evidence to accounting intelligence.
Helmledgers combines structured SEC filing data, sector-specific accounting logic and source-linked evidence to surface the areas that deserve closer investigation.
- 01
Capture the filing
SEC filings and structured XBRL facts are taken at source.
- 02
Apply accounting-aware logic
Sector-specific protocols interrogate disclosures, treatments, estimates and changes.
- 03
Surface what matters
Findings are prioritised by materiality and investigative relevance.
- 04
Trace back to evidence
Every finding is linked back to the underlying filing source.
One SEC filing finding each week. Source-linked. No fluff.
THE FRAMEWORK
A codified accounting-intelligence layer.
Helmledgers is not just searching filings or summarising them with AI. It applies accounting-aware logic to the underlying evidence.
44
Sector Protocols
Accounting logic tailored to sector-specific business models, disclosure patterns and risk structures, so each filing is interrogated in the right operating context.
308
Forensic Triggers
Parameterized signals and cross-references designed to surface unusual treatments, inconsistencies, omissions and patterns that warrant closer scrutiny.
10
Shared Forensic Engines
Reusable analytical engines that sit beneath multiple protocols, helping standardise how evidence is reviewed, linked and interpreted at scale.
19
Interrogation Pillars
Core investigative dimensions covering standards, treatments, estimates, disclosures and recurring forensic patterns, forming the backbone of consistent analysis.
- SEC filing
- Structured evidence
- Accounting protocols
- Forensic findings
- Management questions
Point-in-time analysis. Source-linked evidence. Built to support investigation, not replace judgement.
FOR RESEARCH TEAMS
One intelligence layer. Multiple decisions.
Helmledgers connects filing evidence to the teams making the decisions, helping them surface risk, investigate what matters and act with greater confidence.
BUILT FROM EXPERIENCE
30+ years of forensic accounting, codified.
Helmledgers grew out of Paul Mears’ own work interrogating company filings and repeatedly finding important issues buried in disclosures, accounting treatments and footnotes that conventional review could miss.
Paul Mears
Founder · Forensic Accounting
Paul brings more than 30 years of experience across forensic accounting, financial intelligence and accounting analysis. Helmledgers turns that investigative approach into a systematic intelligence layer designed to interrogate company filings consistently and trace findings back to source.
GET STARTED
See what Helmledgers finds in the filings you already read.
Put Helmledgers to work on real SEC filings and see how it surfaces material changes, source-linked evidence and questions worth investigating.
Source-linked findings · Filing changes · Management questions
FAQ
Frequently asked questions
