What does ShadeSoft do?

ShadeSoft helps companies build and own their AI stack. We design and deploy the infrastructure to run your own private LLMs, agentic AI, and RAG pipelines — on your cloud or on-prem — instead of depending on public APIs. Our work spans private model deployment and serving, agentic and RAG infrastructure, and AI infrastructure audits with a concrete build roadmap.

What does it mean to own your AI stack?

It means your AI models run on infrastructure you control — your cloud account, private VPC, or own data center — instead of routing proprietary data through public API endpoints. You get full control over your data, predictable fixed costs instead of per-token billing, and the freedom to fine-tune, version, and optimize your models however you need.

Can ShadeSoft deploy on-prem and in the cloud?

Both. We design around where your data needs to live and what your workloads require — bare metal and on-prem for maximum control and data residency, or your existing cloud (AWS, GCP, Azure) when that's the better fit. We help you make the on-prem-vs-cloud decision as part of the assessment.

What kinds of AI can ShadeSoft help us build?

Private LLMs (deploying and serving open models like Llama, Mistral, and Qwen), agentic AI systems and multi-agent workflows, and RAG pipelines over your own data — all running on infrastructure you own, with the reliability, throughput, and cost control production requires.

What technologies does ShadeSoft work with?

Our core stack includes vLLM and NVIDIA NIM for high-throughput model serving, Kubernetes for GPU cluster orchestration and auto-scaling, LangGraph and Ray for agentic and distributed workloads, and RAG pipelines with vector databases. We deploy across AWS, GCP, Azure, bare metal, and neocloud providers.

How is ShadeSoft different from cloud providers or AI consulting firms?

Cloud providers sell generic compute and managed AI to everyone. Many AI consulting firms just resell cloud credits or wrap public APIs. We architect and deploy dedicated infrastructure you own — private LLMs, agentic AI, and RAG — with principal-level engineers on every engagement and cloud-scale infrastructure experience behind the work.

ShadeSoft | Build and Own Your AI Stack

ShadeSoft is an enterprise AI infrastructure firm based in Richardson, Texas. Founded in 2024, we design and deploy the infrastructure that lets companies run their own private LLMs, agentic AI, and RAG pipelines — on their cloud or on-prem, fully under their control — instead of depending on public AI APIs.

What We Build

Private LLM Deployment & Model Serving: Run your own open models (Llama, Mistral, Qwen) on dedicated infrastructure — your cloud account, VPC, or data center — with high-throughput serving via vLLM and NVIDIA NIM, GPU cluster architecture, and fixed costs instead of per-token billing.
Agentic AI & RAG Infrastructure: The serving, retrieval, and orchestration layer to run your own agents and RAG pipelines reliably in production, with observability and cost controls built in.
AI Infrastructure Audit & Strategy: A deep-dive assessment of your AI workloads with a 90-day roadmap — including the build-vs-buy and on-prem-vs-cloud decisions — to own your stack.

Technologies

vLLM, NVIDIA NIM, Kubernetes, LangGraph, Ray, AWS, Google Cloud Platform, Azure, bare metal, vector databases, Python.

Contact

Phone: +1 (669) 360-7300 | Email: contact@shadesoft.io | Location: Richardson, Texas, USA

We offer a free 30-minute AI infrastructure assessment including a sovereignty and dependency review, a public-API-spend vs. owned-infrastructure analysis, and a 90-day build roadmap.