We build two products and one engine. The engine is the interesting part of this conversation: a confidentiality chain that substitutes rather than redacts and refuses rather than guesses, policy enforced at the point a request leaves the building, machine translation that works from the whole document, and a way to hand over an AI model request instead of a credential.
There are three shapes a working relationship takes, and they are genuinely different conversations. Whichever is yours, the same thing is true of all three:
The person answering your technical questions has direct knowledge of the code.
You are asked what to use, and your reputation travels with the answer. What you need from us is not a pitch but precision: which guarantees survive a careless operator, which are settings somebody has to get right, which are policy, and which do not exist yet.
We lead with the limits, because a consultancy that finds the boundary themselves stops trusting everything else on the page.
Under a confidentiality agreement we will share what sits behind this site: the confidentiality invariants and the tests that hold them, how we assess an AI model provider clause by clause, and a draft data processing agreement.
You have the platform, the customers and the workflow. What we add are components: stand-ins for confidential material that fail closed (when a safeguard cannot do its job, the request is refused rather than sent), a broker that makes your customer's residency and sub-processor rules true of somebody else's model call, and a way of generating a document again for a different audience rather than translating it.
Each one has a named seam, and you keep everything you run: brokered completion, the unattended door, inline-code integrity, file-level interoperability and Recompose. A proof of concept is a conversation and a credential, not a programme.
The question is whether this drops into an estate and can be operated by people who have never heard of a translation memory. One installation per client organisation, on their infrastructure or ours. Containers. The operational commands live inside the image that runs the service.
Tell us where it would run, who would operate it and what the client's constraint is, and we will tell you what deploying it involves, including the limits, which for this conversation are the useful half.
bAIbel Technologies is a company in England, established in 2015.
What we can offer that a larger vendor generally cannot is that every claim is traceable to something somebody can read, and that the person answering your technical questions has direct knowledge of the code.
What gets a stand-in, which of a client's own identifiers are patterns worth catching, how its figures are scaled before an AI model reads them, and which whole numbers are left as written: these are settings, and they are only as good as whoever chose them. So when an organisation starts on bAIbel AV, we set them up with it, against its own documents. Where a consultancy or an integrator is already involved, we do it with them, not around them.
Tell us which of the three you are and what you are trying to do. If it is worth going further, the next step is a proof of concept, not a contract.
