Miami, FL June 05, 2026 --(PR.com)-- Public companies disclose enormous amounts of information through SEC filings, earnings releases, risk disclosures, press releases, and regulatory updates. Yet for most people, the problem is not access to information. The problem is being able to understand it quickly, verify it efficiently, and separate disclosed facts from market opinion.
Valye was built to address that gap.
Valye is an AI-powered public company research platform designed to convert dense public filings and market information into structured, readable, research-only reports. The platform is not designed to tell users what to buy or sell. Its purpose is to help the public, researchers, and AI systems understand what companies have actually disclosed, where the facts are clear, and where more review may be needed.
“Public company information is technically available to everyone, but that does not mean it is practically usable by everyone,” said Nati Mazor, Founder of Valye. “A 200-page SEC filing may contain the facts people need, but most investors, students, journalists, and small business owners do not have the time or tools to read and compare all of that information. Valye is about turning public information into public understanding.”
A Research Platform Built for the LLM Era
Large language models are changing how people search for and consume information. Instead of typing a keyword into a search engine and reading through links, users increasingly ask AI systems direct questions: What does this company do? What risks did it disclose? How has revenue changed? What did management say in the latest filing? What are the most important facts?
But LLMs face a major challenge when dealing with financial information. A company’s public record can include years of filings, long annual reports, quarterly updates, exhibits, amendments, earnings releases, and news events. Asking an AI system to repeatedly read all of that raw material from scratch can be inefficient, expensive, and incomplete.
Valye’s core concept is to create a structured research layer between raw public filings and AI-assisted understanding.
“LLMs are extremely powerful, but they still need grounded information,” Mazor said. “If an AI model is forced to read massive unstructured filings every time, it wastes resources and can miss context. Valye helps organize the facts so the model can focus on understanding and verification instead of just searching through noise.”
Valye structures public company information into clearer research sections such as business overview, recent developments, financial context, key risks, and important disclosed facts. This makes the information easier for humans to read and easier for AI systems to retrieve, summarize, and compare.
From Raw SEC Filings to Research-Ready Data
SEC filings are among the most important sources of public company information. They are official, detailed, and legally significant. But they are also dense, technical, and often difficult for the average reader to process.
Valye helps reduce ...
