Bri.ai is DLBD’s own AI, end to end: a custom-tuned model and a bespoke harness, both designed for the DLBD platform and for regulated work. Not a general-purpose chatbot with a lab-shaped skin, and not someone else’s model behind our logo. It runs on dedicated infrastructure with zero data retention. Your data never leaves the wire, is never used for training, and is never seen by a third party.
Most “AI assistants” in this industry are a general model behind a chat window, prompted to sound like it knows your work. That design is unpredictable by construction, and the vendor usually cannot tell you where your data went. Bri.ai is the opposite: a model tuned for this domain, inside a purpose-built harness, narrow by design, that does a small number of domain-specific jobs the same way every time, inside your deployment.
One custom-tuned model, engineered for the two places in the platform where intelligence earns its keep, and for nothing else.
The intelligence that lets Covalent read the system you are leaving and make the first pass at bringing it across, so your experts review instead of rebuild. It is designed to take a migration from months to weeks, and from a statement of work to a review.
See CovalentThe intelligence that sits under the DLBD applications and offers the next right step from the work in front of you — quietly, inline, with undo. No prompt to write, no window to open. It knows the record you are on and nothing it should not.
On the roadmapNothing you send Bri.ai is stored by a model provider. Zero data retention is the operating rule, not a plan tier or a checkbox.
Your data stays inside your DLBD deployment. There is no path from your records to a public model, a shared index, or a third party.
Your records, your methods, and your formulations are not used to train anything. Adding AI to your workflow should not require sharing your secret sauce.
Bri.ai runs on infrastructure dedicated to DLBD customers, not a shared public endpoint.
Bri.ai proposes; a person decides and signs. Nothing an AI produces becomes a record without a human action on it.
Every suggestion, and every human decision on it, is recorded with the record it touched, so an inspector can see the whole chain.
Bri.ai knows samples, lots, batches, deviations, and specifications because that is all it was built to know. It has no opinion about anything else.
The same situation gets the same kind of answer. It is engineered to be boring in exactly the way a regulated system should be.
It can only suggest from a fixed set of things the platform already knows how to do. It cannot invent an action, a field, or a record.
Suggestions appear in the flow of the work, sized to the page you are on, with one-click undo. Nothing to type, nothing to chat with.
Every decision your team makes is kept inside your deployment and reused the next time the same situation comes up. That is memory, not training: the model’s weights never change on your data, and nothing leaves your deployment to make it better at your work.
The model behind Bri.ai is custom-tuned for regulated lab, quality, and manufacturing work. It is not a general model rented by the token and pointed at your data.
Model and harness are designed together around Nucleus, the compliance core, and the DLBD data model, and ship with the platform. Neither is a plug-in to someone else’s product.
Ask about Bri.ai in your evaluation. We will show you where it appears in the product, what it will and will not do, and put the privacy terms in writing.