About
AI-Buzz is building a public reference for AI company research.
The AI industry produces a lot of claims. Some are simple facts: a funding round, a model release, a GitHub repo, a package, a benchmark, a customer announcement. Others are interpretations: adoption, leadership, quality, durability.
AI-Buzz keeps those apart.
Each company page brings together dated public data, research cards, metrics, source links, and category context. The point is not to decide who is winning. The point is to make the public record easier to inspect.
A good research card says one thing plainly. It says what changed, when it was observed, the as-of date, which source supports it, and what would be too much to infer from it. If the public record is thin, stale, or narrow, the finding stays narrow too.
AI-Buzz is not a hype ranking, a news feed, a sponsored profile directory, an opinion column, or a substitute for diligence.
Over time, the product gets more useful as the record gets deeper: clearer company data, better metric histories, fresher source links, visible corrections, and research that can still be checked months later.
The goal is simple: make AI company claims easier to check before they get repeated.
