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[ARTICLE · art-18987] src=dev.to pub= topic=large-language-models verified=true sentiment=↓ negative

I got tired of LLM observability tools getting acquired. So I built one that can't be.

A developer built an open-source LLM observability tool designed to prevent vendor lock-in after two major platforms, Helicone and Langfuse, were acquired within months of each other. The tool targets engineering teams in regulated industries like healthcare, finance, and government that require on-premises data handling.

read1 min publishedMay 31, 2026

Helicone got acquired. Langfuse got acquired.

Two of the most trusted tools in the LLM

observability space, gone within months of

each other.

I don't say this to criticize the founders.

Building and selling is legitimate.

But for engineering teams running AI in

production — especially in healthcare, finance,

and government where data cannot leave your

servers — every acquisition is a crisis.

So I stopped waiting for the next one.

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