Edge Model Inferencing
Deploy quantized LLMs directly onto NPUs, mobile SoCs, and embedded devices with guaranteed sub-10ms latency and zero cloud dependency.
TensorRTCoreMLONNXOpenVINO
From silicon to orchestration — we design, build, and operate the full vertical of production AI infrastructure so your team can ship faster and cheaper.
Deploy quantized LLMs directly onto NPUs, mobile SoCs, and embedded devices with guaranteed sub-10ms latency and zero cloud dependency.
Build autonomous multi-agent systems with tool-use, persistent memory, planning loops, and sub-agent orchestration at enterprise scale.
Slash inference costs 40–75% using prompt compression, speculative decoding, KV-cache tuning, and intelligent request batching.
End-to-end ML pipelines with automated training, evaluation gating, canary deployment, and drift detection — GitOps native.
Achieve frontier-model accuracy in 10× smaller packages through QLoRA, GPTQ, knowledge distillation, and domain fine-tuning.
Production-grade retrieval-augmented generation with hybrid dense-sparse search, GraphRAG, and long-term agent memory architectures.
Production AI infrastructure for sectors where performance, security, and compliance requirements leave no room for error.
Book a free 48-hour inference audit. We'll map your stack and show you exactly which solution moves the needle.