Edge intelligence that still works when the cloud cannot.

Datasets, TinyML, computer vision, and on-device inference for constrained, mission-critical environments.

TinyML Computer vision On-device inference Dataset pipelines

What we build

Vishwatronix designs AI systems that still perform when compute, power, and latency are limited - typical of defence, industrial, and fielded electronics. Work spans dataset creation through on-device firmware integration.

Dataset creation and curation for domain-specific models
Keyword spotting and language translation pipelines
LLM fine-tuning for specialised workflows
TinyML and on-device inference
Computer vision, model optimisation, and edge deployment

Computer vision

Vision work includes object detection, quality inspection, video analytics, tracking, optical flow, and low-light detection -often paired with robotics or aerial platforms.

Who this is for

Teams that need models on embedded hardware, not only in the cloud: operators, industrial inspection, and defence programmes that require deterministic, edge-resident intelligence.