We’re pleased to announce that Hudson Labs now supports querying up to six 10-Ks or twenty press releases at once, making true multi-year analysis possible.

As you’ve likely experienced, generalist AI models (ChatGPT, Claude, etc.) routinely miss information when asked to analyze a single long 10-K—let alone multiple filings. This makes accurate 10-K redlines and multi-year comparisons effectively impossible with a generalist architecture.

Hudson Labs takes a different approach. Our technical team has built industry-leading multi-year 10-K functionality that preserves accuracy and precision across deep filing histories. This capability remains unique in the market.

With Hudson Labs’ multi-year timing extension, you can now:

1. Get up to speed on new names faster

Review multi-year trends and strategic shifts in a single, structured output.

2. Track material accounting policy updates over time

Identify material updates to accounting estimates—crucial for understanding earnings headwinds and tailwinds.

Server useful life adjustments:

Amazon: Decreased from 6 to 5-year estimate in 2025

Oracle: Increased from 5 to 6 years in 2025

3. Extract customer concentration and related party details from unstructured text in 6+ 10-Ks

Automatically pull these details from six+ years of 10-Ks, even when buried in unstructured text or footnotes.

Try it today. Log in to the Hudson Labs Co-Analyst here.

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