FLock.io Unveils Edge Decision Model, Built on Qwen, for Enhanced Data Privacy
LONDON, October 14, 2026– As AI is implemented into workflows, the widespread reliance on centralised cloud-hosted LLMs has introduced significant data privacy vulnerabilities, regulatory exposure and cloud data collection risks. This is coupled with standard high-cost LLMs taking seconds to return an output, generating unnecessary text and demanding large computing power.
FLock.io, a developer of privacy-preserving AI infrastructure, has launched THIS/THAT Model: an open-source, lightweight decision model developed on Alibaba Cloud’s Qwen3.5-2B edge-friendly architecture. Designed to quickly handle high-volume classification tasks at a low cost locally on edge devices, the system eliminates the need to send sensitive data through external cloud APIs.
The rise of System One/decision models
A new wave of System One models, also known as decision-models, such as TypeSafe’s Jev, has been disrupting enterprise AI since September. Unlike standard LLMs, which generate open-ended natural language prose, they are for queries that have a predefined set...
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