Governed AI · on your own stack
Your business already runs AI — across SAP and Salesforce, Snowflake and Shopify, tools old and new. We wrap proof around it: every action checked before it runs, on your own stack, nothing leaving your walls.
the quiet problem
Shadow models. Ungoverned calls. Data you can't trace. When the auditor asks how you know it's safe, "we think so" isn't an answer — and it's your name on it.
Why checkLLM
SAP and Oracle. Salesforce and Shopify. Snowflake and Databricks. Decades of legacy and a pile of new SaaS — and now AI is touching all of it. We don't ask you to replace any of it. We put proof around the AI that already runs on it.
The systems that run your business are too critical to replace. We govern the AI touching them instead.
We're the layer above the tools you already have — rules, safety and a clear record. Not another pile to manage.
Private, regulated, high-sensitivity work — run inside your own walls, where a general chatbot is never allowed to go.
From the founder
The gap between what AI can do and what people actually get never closed. I built checkLLM to close it — you adopt AI on the track you're already on, no big revamp.
portraitHow we do it · Inspectors
An Inspector sits between your systems and the model. Before anything reaches — or leaves — the AI, it does three simple things.
Blocks or scrubs anything that breaks your rules, before it ever reaches the model.
Fixes and normalizes malformed data so it meets the rules — no silent bad input.
Flags data problems and governance mismatches in your systems — logged, and on record.
Where an Inspector fits, it's the fastest path to value. Where your need is bigger or different, we build custom on the same standard.
The trust ladder
You don't hand autonomy to an AI on day one. An Inspector starts by watching, and only moves up as it proves itself.
It only observes and reports. Touches nothing — just shows what it would have caught.
It proposes each fix and a person signs off before anything runs.
Once trust is earned, it acts on its own — still logged, still inside your walls.
Where it runs
Same controls, same record. The only question is how close to your walls it runs.
Runs in our cloud. Fastest to start, lowest cost — the governed baseline, hosted for you.
A dedicated, isolated setup we operate on your behalf — without you running it.
Built and run inside your own environment — cloud or on-prem. Data never leaves your walls.
Proven building blocks — or built for you
Inspectors are our flagship way to govern AI on your stack — the fastest path where they fit. Where they don't, we build custom on the same provable standard. You get proven speed where it helps, and a bespoke fit where it matters.
Greenfield instead of legacy? Our sibling woodle.cloud packages the same standard for small, regulated teams.
On your stack · stated honestly
We describe our posture in facts, not badges.
Proof, not promises
We're early, and we'd rather show than tell. In Watch mode, an Inspector observes your real environment at zero risk and shows you exactly what it would have caught — the proof writes itself.
A Watch-mode record — quiet, on your infrastructure, nothing run.
Design partner program
Shape the product, get early access on your own stack, become our first named reference.
Part of a standard, not a one-off
Trusted by Stringify AI, checkLLM inherits the same provable standard — sourced, governed, on record. We build the layer that lets you move at AI's speed and still sleep, on your own terms, wherever you run.
Tell us what you're running and what's on your mind. We'll point you to the right next move — an intro, a demo, or just an honest answer. No wasted time, yours or ours.
or email checkllm@stringifyai.com