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Structured EM USD Credit Fundamental data.
Straight from filings.

Every IS, BS, CFS, Debt schedule, Revenue breakup and EBITDA reconciliation figure pulled directly from EM company filings. Each number traced to its source. Ask in plain English, get auditable data inside your AI workflow. No PDFs. No manual assembly.

100+
EM HY companies covered today
+25
New companies added per week
LIVE QUERY EXAMPLE
What was Petra Foods' net debt to EBITDA in FY2023?
net_debt
$412MAR 2023, p.84
ebitda
$118MAR 2023, p.91
leverage
3.49xvs 4.1x prior year
Integrated with Claude AI. Every data point sourced, every answer auditable.

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We're onboarding EM credit analysts and portfolio managers in the order requests come in. The more we know about your workflow, the better we can prioritise coverage for you.
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What you get

Filing-native Fundamental data.
Nothing reconstructed.

Built specifically for EM credit desks — not a generic data layer with emerging markets bolted on.

Data coverage
IS, BS, Cash Flow Statement, Debt schedule, Revenue breakup and EBITDA reconciliations
Every major financial statement pulled from company filings — not estimated, not adjusted by a third-party data vendor. The figures you see are the figures that appear in the source document.
100+
EM companies covered today
+25/wk
New companies added every week
Source traceability
Every number linked to its source file and page
Know precisely where any data point came from before it goes into your model or memo. Full audit trail from query to filing page.
Structured, Auditable EM credit Fundamental Data — inside your AI workflow.
Connected to Claude AI. Ask the way you'd ask a colleague. Get structured data with source references — no SQL, no pivot tables.
EM focus
Built for the asset class
Covers the filing formats and disclosure structures EM credit analysts actually work with. Coverage is built around what EM desks hold.
Filing library
Direct access to source filings
Every company in our database comes with a link to our filing portal — a cloud-stored library of the original documents we extracted from. If you want to go back to the source, download the filing directly. No hunting across exchange websites or company IR pages.
Ask a question

See it in action.
Get a sourced answer.

Every response includes the filing reference — document name and page number — so you know exactly where the number came from before it goes into your model.

lean-research / query
What was Petra Foods' net debt to EBITDA in FY2023?
net_debt : $412M // AR 2023, p.84
ebitda : $118M // AR 2023, p.91 (adjusted)
leverage : 3.49x // vs 4.1x prior year

Structured, auditable EM credit data — inside your AI workflow.

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100+
EM HY companies covered today
+25
New companies added per week
0
PDFs to download or pages to scrape