AI-Powered
Domain-specific AI infrastructure for equity research teams. Built on first-party investor relations material from 33,000+ companies in 89 countries. No hallucinations — every answer cited to its source.
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A workspace built for financial research
Chat, workflows, transcripts, and filings — unified in a single research surface, grounded in verified issuer data.
Ask. Verify. Move on.
Every sentence in a chat answer carries a numbered footnote that opens the exact passage in the source report.
Workflows that run your routine.
Earnings recaps, initiation checklists, coverage updates — codified once, run every quarter.
One question, forty companies.
Matrix view puts your entire coverage list on a single screen.
Eagle sight at
Investor Relations
First-party data captured at the source — structured for humans and machines, cited back to the exact page it came from.
Catalog
Dataset catalog
Disclosures
Regulatory Filings
Exchange filings and statutory disclosures, worldwide.
Annual Reports
Complete yearly issuer reporting, structured end-to-end.
Quarterly Reports
Q1–Q4 interim reports, earnings and guidance.
Voice of the company
Transcripts
Earnings calls with management Q&A — playable and searchable.
Calls
Earnings and capital-markets calls as events — schedule, audio, and companion documents.
Live Calls
Calls streamed in progress, with transcript segments arriving live.
Press Releases
Corporate announcements captured in real time.
Slides & Decks
Investor presentations and roadshow material.
Numbers
Financial Actuals
Reported figures, structured by period and metric.
Estimates
Forward expectations, sourced, dated, revision-tracked.
Every datapoint linked back to its source document.
See full coverageBuilt for analysts, platforms, and the AI systems that drive them.
EQL API
REST and SSE endpoints for products that need structured, cited financial data at scale.
Explore the API →
EQL MCP
A Model Context Protocol server that lets AI agents query ground truth with citations, out of the box.
Connect in Claude →
EQL Desktop
A unified research workspace for chat, workflows, transcripts, and filings — built for the analyst.
See Desktop →Built for the agentic era
The same verified data layer, exposed two ways: a REST & SSE API for products, and a Model Context Protocol server for AI agents. EQL is a listed connector in Anthropic's directory — your agents get ground truth, with citations, out of the box.
GET /v1/companies/{isin}/actuals?period=Q3-2025
200 OK
{
"isin": "SE0007491303",
"period": "Q3-2025",
"revenue": 128400000,
"source": "Q3 2025 Report, p.4",
"reported": "2025-10-23"
}One verified source in every workflow
From the moment a filing hits the wire to the reviewed note that leaves the desk — one thread of cited primary sources across every stage.
Explore the platform →
Earnings transcripts, searchable by speaker and synced to every number and statement.
Quarterly reports, annual reports, and regulatory filings parsed into structured data.
Investor decks and earnings calls, parsed page by page and linked back to the source.
Workflows built with agentic structure, and real-time structured data
Compliance is the architecture
MiFID II. GDPR. DORA. The EU AI Act. We didn't build around European regulation — we built on it. Licensed sources, documented provenance, and vendor paperwork your risk team will actually approve.