AI-enabled applications
Interfaces that classify, draft, recommend, or prepare a defined task.
PRODUCT UIAI development
Applications, agents, internal tools, and workflow software with intelligence inside them. The model is a component. The product is everything around it.
Product surfaces
These are example interfaces, not client projects. They show the kind of product Vlyntro builds: a queue, an agent that stops for approval, and a board that replaces the spreadsheet.
Incoming files become a queue a person can finish. The model drafts the summary. It does not send the work.
Nothing leaves the queue until someone confirms the route.
What we engineer
Outcomes
We start from the job the software has to do, then place the model where it helps.
Interfaces that classify, draft, recommend, or prepare a defined task.
PRODUCT UIBounded workers across approved tools, with a person at the decision.
SUPERVISEDModel behavior inside a workflow the team already understands.
IN THE PRODUCTRouting, review, exceptions, and the next action in one system.
OPERATIONSEmployee software for work that still lives in spreadsheets and inboxes.
TEAM SURFACEThe application connected to mail, files, CRM, and the system of record.
LIVE DATAExample / document work
A model can pull fields from a file. The product also needs the file, a confidence cue, a person on the exception, and a destination.
Vendor contract
Designed example. No customer data is shown.
Production
AI shortens the build. It does not replace architecture, security, evaluation, or release.
The structure fits the product, the data, and the life of the system.
Access is limited, secrets stay out of prompts, and model output is untrusted.
Useful behavior is tested against messy inputs and failure, not a demo script.
Deployment, monitoring, and an owner are part of the build.
Start a build
Start with a real workflowDescribe the product, the users, and the system it has to join. We will help shape a first version that can actually run.
Start a Build