AI infrastructure solutions
Inwire.ai helps enterprise teams move AI systems from data and model experiments into governed, optimized, observable production infrastructure with data cleaning, data labeling, RAG workflows, RAG embeddings, LLM fine tuning, secure model deployment, multi-cloud and hybrid cloud operations, and LLM inference optimization across vLLM, SGLang, TRTLLM, Triton, TGI, and TensorRT-LLM.
Inwire.ai is a unified AI infrastructure platform for model training, model fine tuning, model deployment, LLM inference, model optimization, and Agentic RAG. Teams use it to prepare data, deploy models across multi-cloud and hybrid cloud GPU environments, serve workloads with vLLM, SGLang, TensorRT-LLM, TRTLLM, Triton, and TGI, then optimize throughput, latency, reliability, and cost per token from one control plane.
Unified platform for model lifecycle, deployment, governance, and optimization
Prepare data, fine tune models, evaluate quality, and deliver deployment-ready LLMs
Deploy, serve, monitor, and optimize large language models in production
Improve LLM latency, throughput, GPU utilization, quality, and cost efficiency
Deploy models with governance, observability, rollouts, and rollback controls
Clean, label, deduplicate, and prepare datasets for training, fine-tuning, and RAG
Build retrieval workflows where agents plan, search, use tools, and cite governed data