Technology
Today's AI fixes a model in advance, then spends enormous sums training and retraining it. We think the data already implies the model, and that learning should never have to start over.
Six properties
Patterns come straight from the data as it arrives, including data no formula has ever described.
There is no fixed corpus to collect first. Learning begins with the first piece of data you have.
New data adds to what the system knows. There is no retraining cycle.
What the system has learned stays learned. You never wait for a new version to catch up.
Every result carries a confidence level, and the system asks when information is missing instead of guessing.
When information is missing, the system says so and asks. A confident guess is never presented as a finding.
Private information can shape an answer without leaving its owner's control.
Your information stays under your control while it helps answer your question.
Built to do specific work efficiently, not to be the largest model in the room.
Focused work needs less to run, so you can put it where the work is.
Hyuge's systems support human judgment. They never replace it.
Every result is a recommendation. The decision, and the record of it, stays with a person.
The architecture
Hyuge's privacy architecture
Status: ProductionLets private information be used with AI tools without being handed over. In production today as a desktop app that removes private details before a request reaches an AI tool, then restores them in the answer.
What this means for you: Available today.
the learning engine
Status: AlphaLearns progressively from each new piece of data. It starts from nothing, grows with experience, needs no pre-training and no retraining cycle, and answers with a confidence level. The core engine is complete and in internal testing.
What this means for you: In internal testing; not yet released.
persistent meaning
Status: Pre-alphaRepresents information so its meaning persists and builds up over time, instead of being thrown away every time a model is replaced. Private details stay with their owner.
What this means for you: In active development; not yet feature-complete.
Hyuge's learning architecture
Status: Pre-alphaThe unified system that will bring QuSFLA, PALM and PIE together. "Veritas" means truth: every result will come with how sure the system is.
What this means for you: In active development; not yet feature-complete.
Status
Production: released and in use today. Alpha: core functionality complete and in internal testing; not yet released. Pre-alpha: in active development; not yet feature-complete.