SLM360

On-device NLU engine with 98-100% accuracy, 39ms latency, 50MB footprint. Solves the NLU trilemma.

Client problem

Language models are too large for deployment on constrained devices, and server round-trips break the offline, private-by-default posture that on-device AI is supposed to provide.

Our solution & architecture

A sub-50MB model that runs entirely on-device, answering at 39ms with no connectivity and no server. Quantised and distilled for device-class hardware, SLM360 delivers interactive responses fully offline: no data ever leaves the device.

Why it matters

Nothing leaves the device: No server, no connectivity in the path
Private by default: On-device inference is inherently private
India's first: Sub-50MB on-device language model

Benefits realised

<50MB: Model footprint
39ms: On-device latency
100%: Offline, zero data egress