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How Orbion Compares

Protein-software options fall into a handful of categories, and the words mean different things across vendors. Here is a plain map of the landscape — by the job you're actually trying to do — and an honest read on where Orbion fits in each, including where another category is the better call.

The Landscape

Six Categories, One Honest Map

Most of these are adjacent to Orbion, not head-to-head. Design creates new proteins; stability tools improve one property; Orbion characterizes and de-risks the candidates you already have. Pick the comparison that matches how you framed the problem.

Build it yourself

Orbion vs In-House

Standing it up takes infrastructure, GPUs and a multi-model pipeline — then a team to keep every prediction trustworthy.

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Open-source models

Orbion vs Open-Source Models

Open weights return a number. Orbion adds which model to trust, when, and how confident to be.

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Model platforms

Orbion vs Model Platforms

A platform gives you access to models. Orbion makes the judgment about them the product.

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General-purpose LLMs

Orbion vs General-Purpose LLMs

General assistants explain biology and draft protocols well — but can't predict yield, stability or structure from a sequence.

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De novo platforms

Orbion vs De Novo Platforms

Different jobs. Design invents new proteins; Orbion characterizes and de-risks the ones you have.

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Stability tools

Orbion vs Stability Tools

Stability is one property. Orbion predicts it as one read within full characterization.

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Stop Guessing. Start Deciding.

Run your hardest target through Orbion and see how close the predictions land to your own lab data — before you commit a single experiment.

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