Independent research that cuts through consensus.
Answers to the critical questions in finance, investing, and the economy. Every claim traced to a primary source.
Across 485 S&P 500 earnings calls, Google leads at 42, over 2x Microsoft (21) and nearly 3x AWS (15). OpenAI (39) edges Anthropic (38) by one for the model-provider lead; NVIDIA (38) tied with Anthropic for third.
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New findings, the data behind them, and the methodology behind every claim. Free.
Deep, evidence-based research, delivered as interactive data.
WireSift is independent research for sophisticated investors and finance professionals. We do the rigorous work consensus skips, and we render every finding as a click-through visual that traces back to the source evidence.
Investigations into the questions consensus glosses over. Not takes, not summaries. Original analysis with primary sources.
Every claim linked to a source. 10-K filings, earnings transcripts, regulatory documents. If we can't source it, we don't say it.
Findings rendered as interactive visuals you can click through to the underlying quote, transcript, or filing. Not static charts. Auditable evidence.
Sophisticated investors and finance professionals who make or advise on capital decisions and want better inputs, not retail tip-sheet content.
Datasets and reports.
Each one traced to primary sources and dated to the data behind it. The video research lives on YouTube.
How the research gets done.
Four principles that govern every project. Public, auditable, versioned.
Tier-rated sourcing
Every claim anchored to a primary source. Tier 1 is under-oath disclosure (10-K filings, earnings calls, regulatory documents). Lower-tier sources are explicitly labeled.
Dated, versioned data
Every dataset carries the date of the data behind it. Schemas are versioned and old records are kept, so a published finding can be reproduced.
Cross-validation
Quantitative work cross-validated against independent models. A stratified sample of every extraction is independently re-validated by a second frontier model.
Documented methodology
Source tiers, extraction schema, validation layers, and editorial choices are documented in public. Audit requests are welcome.
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