Parakh
परखdiscernment — Field-Adaptive Threat Recognition
On-device recognition that runs on a handheld, a vehicle computer or a UAV with no datacentre behind it. When the theatre changes — new terrain, new adversary, new kit — it re-tunes itself in the field in seconds instead of waiting weeks for a cloud retrain.
Why it matters
Conventional vision AI needs cloud GPUs and a long retraining cycle for every new environment. Built on Aitele's training-free synthesis (the RSN line), Parakh rebuilds its classifier at the edge — so recognition keeps working when the link is jammed and the enemy looks nothing like the training set.
- ▸Runs on edge hardware — no datacentre
- ▸Re-learns a new theatre in seconds
- ▸Operates fully offline / link-denied
- ▸Every call is explainable, not a black box