who’s behind this · the company
We put our names on AI you can prove.
Stringify AI is a company before it is a standard. We build governed, verifiable AI for regulated work — and we hold ourselves to the same record we ask of the products that carry our name.
founders
The founders.
Two people with one conviction: AI you can’t prove isn’t AI a regulated business can use.
Sets the vision and the standard — the person who decides what “AI you can trust” actually has to mean. A researcher at heart (PhD) who has spent years on one stubborn problem: making AI reliable enough for work someone has to answer for. Direct, exacting, and allergic to hand-waving.
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Owns how it all gets built — turning the standard into technology that holds up in the real world, not just a demo. Years of enterprise data science behind him. Calm under pressure, and a builder for the long run.
LinkedIn ↗the founding team
The people who make the standard real.
A small team of engineers, researchers, and storytellers — building in the open, each responsible for one piece of making AI trustworthy enough to actually turn on.
Builds AI that can take on multi-step jobs and see them through on its own — safely, and only as far as it has earned trust. Curious and dogged; the engineer who keeps asking “but can we actually rely on it to do this?”
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Teaches AI to read through mountains of documents and come back with the exact answer — source attached. Precise and patient, and quietly obsessed with getting it right over getting it fast.
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Builds the product end to end and keeps it quick and dependable in the cloud. Pragmatic and fast — the one who turns an idea into something you can actually click on.
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Makes the product clear and pleasant to use, and helps it reach the people it is for. Craft-driven; sweats the small details a user feels but never notices.
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Tells the story so a real person understands why any of this matters. Warm and human — the translator who turns the technical into plain English.
LinkedIn ↗why “stringify”
The name is the promise.
To stringify is to take something opaque and turn it into a form you can read, check, and pass on. That is the whole idea. We stringify AI — we turn what a model does into a record you can prove: sourced, in‑tenant, on record. Stringify your AI.
the standard we hold ourselves to