Agus Tech Engine 2.0
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 latencyOptimized runtimes
Privacy-firstOn-device by design
Cost-effectiveEfficient 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 todayReady to upgrade when you need a backend.
Architecture
Core Technology Stacks
Empowering next-generation AI applications with state-of-the-art on-device capabilities.
Edge Runtime
Optimized inference stacks for real-world devices: CPU/GPU/NPU, maximizing hardware utilization.
Multimodal Pipeline
Vision-language-audio inputs natively supported with unified routing and dynamic batching.
Deployment Tooling
Seamless packaging, versioning, A/B testing, and telemetry-friendly integration for prod.
Build an AI experience
users can trust
Keep data local, reduce cloud cost, and deliver instant responses without compromising privacy or performance.