Vision at the edge
Detection, counting and anomaly analysis on live camera feeds.
Edge & IoT Machine Learning
Intelligence where the data is born.
Many of India's most important AI use cases happen far from a data centre: on roads, farms, factory floors and remote sites. We compress and deploy models directly onto cameras, gateways and embedded devices, so decisions happen on-site, in milliseconds, even without connectivity.
- Cameras & sensorsData is born here
- Edge deviceOn-device inference, offline
- GatewayOnly insights travel
- Command centreAlerts & dashboards
Sensor intelligence
Time-series ML for predictive maintenance and monitoring.
On-device speech
Offline voice commands and transcription in Indian languages.
Models made to fit
Relative weight memory by numeric precision
Hover or tap a bar for a real model size.
From model to device
- Design & trainCompact, task-specific architectures.
- CompressQuantisationStoring model weights with fewer bits (e.g. 8 or 4 instead of 32), cutting memory and speeding up inference with little loss in accuracy., PruningRemoving weights that contribute little, making a model smaller and faster. & DistillationTraining a small “student” model to imitate a large “teacher”, keeping most of the accuracy at a fraction of the size..
- CompileTuned for ARM CPUs, edge GPUs & NPUNeural processing unit: a chip built specifically to run AI models efficiently..
- Deploy & manageOTA updatesOver-the-air: updating models on devices remotely, without a site visit. updates and fleet monitoring.
- Low latencyDecisions on-site in milliseconds, no round-trip to the cloud.
- Works offlineKeeps running in low- or no-connectivity locations.
- Private by designRaw video and audio never leave the device.
- Lower costLess bandwidth, storage and central compute.
Hardware we target
ARM CPUs · Edge GPUs (Jetson-class, incl. NVIDIA Jetson Orin) · NPUs & AI accelerators · x86 gateways · Microcontrollers (TinyMLMachine learning on microcontrollers with only kilobytes of memory.) · Smart cameras
Edge-ready by design.
- OTA model updates
- Fleet health monitoring
- Secure on-device storage
- Works with existing cameras
Where it is used
- Smart cities
- Transport
- Agriculture
- Industrial IoT
- Public safety
- Remote & field sites
See Edge & IoT ML on your own data.
Sovereign · Scalable · Sustainable. Deployed on your infrastructure.