Agus Tech
On-device Multimodal LLM Inference
Fast. Private. Efficient. We help teams ship multimodal AI to phones, PCs, edge devices, and embedded hardware—without sacrificing quality.
Low latency
optimized runtimes
Privacy-first
on-device by design
Cost-effective
efficient deployment
What we deliver
- End-to-end on-device inference pipeline
- Quantization / pruning / compilation
- Multimodal: vision + language + audio
- Evaluation: latency, memory, quality, accuracy
Static site today → can upgrade later if you need a backend.
Edge Runtime
Optimized inference stacks for real-world devices: CPU/GPU/NPU.
Multimodal Pipeline
Vision-language-audio inputs, unified routing and batching.
Deployment Tooling
Packaging, versioning, A/B, telemetry-friendly integration.
Build an AI experience users can trust
Keep data local, reduce cloud cost, and deliver instant responses.