Filing research for listed companies. Enter a ticker — get a 3-year deep dive across annual, quarterly, current, and proxy reports, with every finding, number, and narrative shift traceable to the exact line in the original document.
New risk-factor language added in the FY25 annual report referencing AI-related regulatory exposure — not present in the FY24 filing. [C4]
"...emerging AI-related regulation may impose additional compliance obligations and could materially affect our operations..."
No PDF scavenger hunts. No spreadsheets stitched together by hand. Enter a ticker and let the research come to you.
Search any listed company in our coverage. DISCLOSEiq pulls the last 3 years of public filings — annual, quarterly, current, and proxy reports — and parses them into structured sections.
Financial trends, risk flags, narrative-change alerts, and material events appear as a structured memo — each with an inline citation back to the exact filing, section, and span.
Grounded Q&A over the filings. Every answer ships with clickable citations — no hallucinated claims, no made-up numbers. If the filings don't say it, the app won't either.
Every surface is designed around one non-negotiable: if you can't cite it, we don't show it.
Each finding is linked to a precise location in the source filing — down to the character range. Click a citation to see the exact excerpt, highlighted in context. No black-box conclusions; no "trust me" outputs.
"substantial doubt" phrase detected in FY24 annual report — Risk Factors [C1]
Revenue −2.8% FY24 → +4.6% FY25 · sourced from XBRL [C2]
Sentence added to FY25 annual report not present in FY24 [C3]
A curated set of signal-bearing phrases and structural cues are flagged automatically across the 3-year window, with the exact span surfaced so you can judge whether it's material or boilerplate.
Issuers use dozens of different concepts for "revenue" across filings and years. DISCLOSEiq resolves those into a canonical set of metrics — so you get consistent trends, not a patchwork of labels.
Ask a question about any company. Answers come with clickable citations into the filings themselves. If the source material can't support an answer, the app says so — it doesn't guess.
Services share rose 22% → 24% → 26% across the 3-year window. [C1] [C2]
Two candidate passages support different conclusions — both surfaced for review rather than a confident guess.
Honest no-answer when the source material doesn't cover the question.
Same evidence. Same citations. Two different audiences. Switch between an analyst-grade research partner and a patient teacher with a single toggle.
A research partner built for analysts. Ask a question across any ingested company and get back a cited answer — or a markdown table, or a multi-ticker comparison — with an evidence trail you can open and inspect.
[C#] citations · clickable excerpts · provider badge under each answer
A patient teacher for beginners and students. Sage rewrites the same analyst findings in plain English at the reader's level — then checks understanding with Socratic follow-ups and short quizzes drawn straight from the filings.
One evidence spine, two voices. Atlas and Sage read from the same ingested filings, the same normalized financials, the same risk-detection layer — so an answer in learner mode and an answer in analyst mode point to exactly the same cited spans.
Smaller features that add up — the details that separate a demo from a research tool.
Section-level diffs across consecutive filings surface new sentences added to Risk Factors or management commentary — the real signal buried in thousands of boilerplate words.
Every current report in the 3-year window categorized (material agreement · leadership change · cyber incident · restructuring · acquisition) and plotted on a filterable timeline.
Amended filings are linked to their originals. The analysis pipeline prefers amended content — your memo reflects the company's own corrections.
Export a firm-ready memo with executive summary, findings, citations, and financial trends — formatted for distribution, with citations preserved as footnotes.
Open any filing in a split-pane reader: normalized section list on one side, raw HTML with highlighted spans on the other. Verify any finding directly against the filed document.
Every analysis is stamped as a run. Re-run at any time as new filings arrive — older runs stay intact for reproducibility and audit.
Public filings are the source of truth. We treat them — and the systems that publish them — accordingly.
Every finding carries a citation to a specific filing, section, and character range — or to an underlying XBRL fact. Uncited model output is filtered out before persistence.
Downloads run through a rate-limited client with descriptive user-agent and backoff — we stay well within the fair-access ceiling for our public-filing sources and cache aggressively so we don't re-hit what we already have.
Every memo is a stamped run — rerunnable, versioned, and auditable. Compare today's output to last quarter's to see exactly what changed and why.
Important. Information provided by DISCLOSEiq is for informational and educational purposes only and is derived from publicly available filings. Findings, risk flags, narrative-change alerts, and Q&A answers are algorithmic estimates — not financial, investment, legal, accounting, or other professional advice. While data-integrity and citation checks are applied, users are responsible for independently verifying all information and determining its suitability for their use. MtKingdom.io and its affiliates make no representations or warranties and disclaim all liability for decisions made based on this information.
DISCLOSEiq is in beta. Access is invite-only while we expand coverage and refine the evidence pipeline — email support@mtkingdom.io to request an account.
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