Built by people who’ve done the hard part.
OpenSymbolic exists because making AI reliable enough for real work isn’t a prompting problem, it’s an architecture problem. So we built the architecture.
Why this exists.
Rajkumar and Chase met inside Dropbox’s incubator, building enterprise AI products together, and kept hitting the same wall: models that demoed brilliantly but couldn’t be trusted at scale. The workflows that mattered most, the high-stakes and high-volume ones, were exactly where comprehension, accuracy, and reliability broke down. They left to fix it at the root, by moving reliability into the architecture instead of tuning prompts forever. OpenSymbolic is the result: AI you can put on the work you can’t afford to get wrong.
The founders.
Just the two of us, and that’s the point. You work directly with the people who built it.
What we believe.
Early by design.
We work with a small number of design partners on paid pilots. That means founding partners get direct access to the people who built this and a real say in the roadmap, the kind of attention you don’t get from an established vendor. The framework is open source, so there’s no black box and no lock-in: you can read every line, run it yourself, and keep what we build together.
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