Instant access to all filings, calls, presentations, and other primary financial content. Ingested, transcribed, and ready to query within seconds of publication.
Table Stakes, Done Properly
Ingesting filings, calls, and presentations is table stakes for any serious AI tool for institutional investors. This page is here so you know we do it, not because we think it sets us apart. The differentiation is in what the rest of the platform does with the data once it lands.
Filings, earnings calls, press releases, slide decks, investor day footage, and conference transcripts (JPM Healthcare, WWDC, GTC) are tracked at the source, ingested within seconds of publication, normalized, and quality-checked. The data is in place by the time you go looking for it.
Every Format, In One Place
Filings, PDFs, slide decks, Word documents, and spreadsheets land in the same pipeline. So do earnings calls, investor day videos, webcasts, and interviews. Audio and video are transcribed with speaker identification and sit alongside the rest, so the same quarter's commentary, numbers, and visuals are all queryable from one place.
Global From the Start
Any company that communicates with investors in English is supported, regardless of domicile or listing location. A name on the LSE, the TSX, the ASX, or a German Mittelstand listing is ingested to the same standard as a name on the NYSE: filings tracked, calls transcribed, decks parsed, all in the same pipeline.
The exchange a company is listed on is not a coverage decision. See global company coverage for how non-US companies are added.
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Related Documents Linked Around the Event They Belong To
This is where the work behind the pipeline starts to matter. An earnings release is not one document. The press release hits first, the call follows hours or days later, the 10-Q filing drops after that. Marvin links them as a single event, so all disclosures from one quarter sit in one place rather than scattered across folders. M&A transactions get the same treatment: acquirer and target documents are connected automatically.
Every source is enriched with metadata (publication date, format, speaker identification, event classification). That structure is what lets a Deep Research Agent focus on what is new and material across multiple document types at once, and what lets AI Analyst Chat answer "what changed this quarter" as a query rather than a fresh read.
The Foundation Beneath Every Other Feature
Every answer on the platform traces back to a primary source ingested through this pipeline. The same question asked in AI Analyst Chat or run through a Deep Research Agent returns the same answer, cited to the same passage, because both read from the same normalized data with the same audit trail.
Any company, any format, AI-ready. Sentiment scores, guidance tracking, earnings season automation, coverage expansion: every workflow on top reads from this pipeline, and you arrive at each one with the data already in place.
