SEC EDGAR
US public company filings, including 10-K, 10-Q, 8-K, XBRL financials, MD&A sections, and filing search.
Data & Tooling for Financial Work.
Sibel is built around the data sources, specialist agents, and operational tools finance teams actually need. The point is not just access. It is keeping that entire surface area inside one controlled workspace.
Current data coverage.
The current product layer combines primary sources, market and macro coverage, and current web context so analysts do not have to reconstruct the research surface manually.
European filings
ESEF and IFRS annual reports across 26+ European markets, structured for cross-market disclosure work.
FRED and macro series
Inflation, growth, labour, rates, and macro indicators used to connect releases to market moves.
S&P Global datasets
Market, company, and sector context used in public-market and investment workflows.
Market data coverage
Quotes, OHLCV series, fundamentals, insider activity, FX, Treasury yields, and related financial series.
Commodities coverage
Futures coverage across energy, metals, agriculture, softs, and emissions for commodities workflows.
Current web context
Web research extends the platform when the answer depends on what changed recently, not just model memory.
Specialist agents.
Sibel does not treat financial work as one generic search problem. The orchestrator delegates to specialist agents with their own data surface and execution role.
Stock Market agent
Handles quotes, OHLCV, fundamentals, insider activity, FX, Treasury yields, and macro series.
SEC EDGAR agent
Works across US filings, XBRL financials, MD&A sections, and filing retrieval.
EU Filings agent
Covers European annual reports and disclosure retrieval across the ESEF and IFRS surface.
Commodities agent
Retrieves commodity-market context and futures coverage for cross-contract and curve work.
Web Search agent
Pulls public web context and current-event information when the question depends on recency.
Code Interpreter agent
Runs sandboxed Python for analysis, transformations, charts, tables, and file generation.
Tooling inside the loop.
The data layer matters because it feeds directly into execution. Research, compute, artifact generation, and Office delivery stay attached to the same workflow.
Sandbox compute
Model work, charting, and data transformation run inside the same controlled workflow as the research.
Artifact generation
Outputs land as spreadsheets, Word documents, PowerPoint decks, CSVs, charts, and code files.
Office add-ins
The same workflow extends into Excel, Word, and PowerPoint rather than stopping at the chat interface.
Approval controls
Plans, tool calls, and staged actions stay visible before execution so the user stays in control.
Transform your analytical workflow
Join institutions using Sibel to explore more scenarios, test more hypotheses, and arrive at decisions with greater conviction.