Enterprise AI. Privately Hosted. Fully Controlled. Built to Scale
Secure AI infrastructure powered by open-weight models (Llama 3, Mistral, Gemma 4, DeepSeek) and vLLM or Tensor RT that eliminate variable API costs, guarantee data sovereignty, and run on predictable, fixed cost GPU hardware.
Everything you need to run AI privately — already integrated.
Give every employee a secure AI workspace and every engineer a single API — running on servers you control, at costs you can predict.
Lower & Predictable Costs
Cost-Efficient AI at Scale - eliminate per-token API charges and leverage Inference Engines like vLLM's continuous batching, PagedAttention, and efficient GPU utilization to reduce infrastructure costs per request at sufficient usage volumes.
Developer-Ready AI Infrastructure
Build intelligent AI agents with familiar APIs. Empower developers to build RAG applications, agentic AI workflows, and intelligent automation using LangChain, LlamaIndex, and other frameworks through vLLM's OpenAI-compatible API endpoints
Bring your own Cloud
Run AI models within your own cloud infrastructure such as AWS, GCP or Azure, ensuring sensitive business and customer data stays within your environment without relying on third-party inference APIs.
AI for Every Employee
Give HR, Finance, Sales, Operations, and Analytics teams access to internally hosted AI models through Open WebUI's familiar ChatGPT-style interface, without requiring programming knowledge.
Engineered for AI workloads
Run enterprise-grade LLMs on affordable, consumer-class GPUs by using FP8 quantization to match the performance of hardware triple the price.
The Gateway
LiteLLM - one secure, OpenAI-compatible endpoint for every model. Issue AI API keys per person or team, set budgets, enforce rate limits and see spend in real time.
The Workspace
Open WebUI - a familiar chat interface for every employee, with document Q&A, department knowledge bases and single sign-on. If your team can use ChatGPT, Claude or Gemini, they can use Open WebUI on day one.
The Engine
vLLM or TensorRT - high-throughput inference for open-source models on your own GPUs, so everyday requests never leave your network and never generate a per-token bill.
All-in-one infrastructure solutions
From machine learning (MLOps) & RAG ingestion pipelines (RAG) to AI worflows and Autonomous Agents at scale backed by Open Weight LLMs like Llama, Mistral & Gemma
Cloud / Hybrid integration
Use AWS GCP or Azure resources to power your AI initiatives with Vector Databases like pgVector or Snowflake Cortex Search Service
From private model to real automation
Once an open-weight LLM runs inside your infrastructure, your teams can build on it freely, without data leaving your network or per-token bills growing with every use case.
RAG Pipelines
Turn internal knowledge into accurate, cited answers, indexed and served entirely on your infrastructure.
Tools & MCP
Connect the model to your internal systems and APIs through MCP, with access controls you define.
AI Agents & Workflows
Chain retrieval, tools and reasoning into agents that handle real business processes, end to end and in-house.
Nvidia RTX 4000 ADA or AMD MI GPUs
Run enterprise-grade open-weight LLMs on affordable, consumer-class GPUs by using FP8 quantization to match the performance of hardware triple the price.
Performance results
Real benchmarks from our self-hosted vLLM stack, measured continuously and published openly on our live Grafana dashboard.
Time to First Token - (ms)
TTFT - How quickly the first word appears after a prompt is sent.
Inter Token Latency - (ms)
ITL/TPOT - The gap between each token, which is how smoothly answers stream.
Token Throughput
toks/s - Total tokens generated per second across all concurrent users.
Your enterprise journey, by numbers
AI startups, businesses and enterprises decouple scaling from skyrocketing API costs using optimized private inference architectures.
Token Cost Elimination
Migrating from proprietary APIs to hosted open-weight models removes variable usage-based billing entirely.
Throughput via vLLM Optimization
Leveraged advanced paged attention and continuous batching to maximize hardware utilization and slash query response times.
Zero-Egress Data Sovereignty
Complete compliance containment. Proprietary corporate intelligence and customer data never leave your secure private cloud perimeter.