About
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.
01
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: the control plane for AI agents, and the deterministic engine underneath it.
02
The founders
Rajkumar Janakiraman
Tech
14 years engineering at Microsoft before co-founding the internal incubator at Dropbox that became Dropbox Dash, one of the first enterprise AI products to ship at scale on GPT-3.
Chase Croft
Product / GTM
Built seven products from zero to one, twice as a founder and inside Dropbox's and Walmart's incubators. Turns OpenSymbolic's technical edge into workflows enterprises can adopt and trust.
03
What we believe
01
Reliability is an architecture problem, not a model problem.
Better models don't fix nondeterminism. Better architecture does.
02
Use the right engine for the risk.
Not every workflow needs to be bulletproof, but the ones touching contracts, compliance, and money do.
03
Open by default.
The framework is MIT-licensed and inspectable. We earn trust by letting you read the code, not by asking for it.
04
How we work
We work with a small number of founding partners on paid pilots. Founding partners get direct access to the people who built this and a real say in the roadmap. 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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