Private by construction. Nothing leaves your device.
FallForge runs on your machine, offline. Your task, your examples and your model never leave your device — so there is nothing to leak, nothing to breach, and nothing for us to process. Privacy and accountability are not policies bolted on afterward. They are the architecture.
Your data never reaches us.
The tool processes your task, your examples and the minted model entirely in your own browser and on your own hardware. AI-Native Solutions does not receive, store or transmit any of it. That makes data minimisation (Art 5) and privacy by design (Art 25) structural, not aspirational — there is no dataset to breach because there is no dataset.
You keep every right under UK GDPR — access, rectification, erasure, restriction, portability and objection — exercised any time at sjgant80@gmail.com. We set no tracking or advertising cookies. The only personal data we ever hold is what you choose to send us directly, handled under legitimate interest and kept no longer than needed.
Narrow by design, with the accountability higher-risk systems are asked for.
FallForge builds narrow, task-specific models. It is not a general-purpose (GPAI) model provider; you are not training a foundation model.
Even so, every mint, shelf listing and hub receipt is content-hashed and re-verifiable offline — the provenance chain walks it end to end and names any break, live, in your browser. A signed, tamper-evident record of custody, built in from day one.
Straight about what it is: FallForge creates and evaluates small, task-specific AI models. Outputs are AI-generated — keep a human in the loop for anything that matters. The signed scorecard receipt is evidence your model beat a baseline on your own held-out data — proof of measured performance, not a promise of truth. Once minted, the model is yours, on your machine, under your control.