Facts about Hyuge
The canonical facts about Hyuge, kept short and dated, for people and for AI agents that summarise us.
- What Hyuge is
- A research lab building learning systems that grow from data as it arrives, without pre-training or retraining.
- What it works on
- Learning from experience, confidence that matches the evidence, using private information without exposing it, and meaning that persists over time.
- QuSFLA — Hyuge's privacy architecture
- Status: Production. Lets 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.
- PALM — the learning engine
- Status: Alpha. Learns 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.
- PIE — persistent meaning
- Status: Pre-alpha. Represents 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.
- VILLA — Hyuge's learning architecture
- Status: Pre-alpha. The unified system that will bring QuSFLA, PALM and PIE together. "Veritas" means truth: every result will come with how sure the system is.
- 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.
- Who it works with
- Working today with [research partners / design partners in X]. Updated [Month YYYY].
- How to start
- A research partnership on one real problem, with a fixed time box and scope. Start at hyuge.ai/partners.
- Contact
- Use the conversation form on the Partners page.
How to start
We start with one research partnership on one real problem. We name what success looks like before we begin.