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Local AI platform
QVAC (Tether)
On-device intelligence: Workbench, vertical apps — not cloud-only gatekeepers.
Official siteAxes (0–100)
- Local control / custody94
- Open stack (models & tooling)72
- Regulatory posture (curated)48
- Interoperability78
Last reviewed: 2026-04-07
Facts (curated)
- Positioning
- Tether’s answer to centralized AI: models and agents run locally; data stays on the device.
- Public surface
- Workbench (local AI app), Health, Translate — privacy-first; Genesis datasets & mobile tooling on the roadmap.
- Vs hyperscalers
- Vertically integrated Tether AI story: data sovereignty + agents on devices, not only hosted APIs.
- Value between agents
- When fleets of agents coordinate work, closing the loop on liquidity is a planning dimension alongside model delivery and compliance.
Pros
Aligns privacy and ops control: avoids “prompts live in cloud” as the default, useful for enterprise and regulated contexts.
Clear product surface (Workbench + verticals) for roadmaps, dependencies, and adoption metrics.
Cons / risks
Younger ecosystem vs mature cloud platforms: integrations, enterprise support, and time-to-market need explicit planning.
Related links
- QVAC — local AI (official site)
QVAC · 2026-04-01
- Tether — news & announcements
Tether · 2026-03-28