Solutions
Products and patterns that show the approach
Vaxera AI builds products where a problem is common enough to deserve one, and bespoke systems where it is not. FusionLogic is the first product; the patterns below are the kinds of system we build around it.
Flagship product
FusionLogic See the bigger picture.
FusionLogic is an AI-enabled operations platform designed for immigration legal practices. It sits as an AI layer on top of the databases and documents a practice already has, and brings out the meaning in all of that data, so the people running the practice can see every matter, every deadline and every document in one place, and ask questions of it in plain language.
- Matter at a glance
- Operational overview
- Search that understands meaning
- AI assistant with sources
- Trust-account visibility
- Knowledge graph views
Demonstration with fictional data.Available now
Patterns
The kinds of system we build
Described as patterns rather than named case studies: client work is published only with permission.
The operations picture for a professional-services firm
Case, document, correspondence and financial data from separate systems brought into one searchable view, with an assistant that answers from the firm's own records.
See FusionLogic →A knowledge system over years of documents
Thousands of letters, forms and scans processed, indexed and made searchable by meaning, with every answer traced to its source document.
Data & knowledge systems →A private AI deployment
Models, search and the assistant running on the organisation's own server, with a de-identification gateway for anything that leaves it.
Private AI & infrastructure →Replacing a legacy system in stages
A modern record built beside the old application, imported from its data, and switched on when the team is ready, with no big-bang cut-over.
Bespoke AI applications →Need something that is not on this page?
Most of what we build is bespoke. Tell us about the problem and we will say whether FusionLogic fits, or what an engineering engagement would look like.