Open-Source AI Hosting
Stop sending your confidential data to OpenAI. We deploy and scale open-source AI models securely on your own cloud infrastructure.
You want to implement AI, but your legal and compliance teams forbid sending proprietary company data or PII to third-party APIs like OpenAI or Anthropic.
Impact
Your enterprise is falling behind competitors in AI adoption because of strict data privacy and compliance blockers.
Self-hosted AI. We take powerful open-source models (like Meta's Llama 3 or Mistral) and deploy them entirely within your Virtual Private Cloud (VPC).
Technical Approach
Deploying quantized models via vLLM, TensorRT-LLM, or Ollama on AWS EC2 (GPU instances) or Google Cloud. Complete isolation with zero outbound internet access required.
Employees blocked from using AI tools, or engaging in 'Shadow IT' by secretly pasting confidential code into public ChatGPT.
Employees use an internal, company-branded AI chat portal that is hosted 100% on your secure servers. Zero data leaves your network.
Strict adherence to global data privacy laws. We never train public AI models on your proprietary data.
Architecture designed to meet rigorous healthcare and enterprise security compliance standards natively.
Scalable cloud-native deployments via AWS and Vercel Edge networks ensuring 99.99% uptime.
Everything you need to know about our Open-Source AI Hosting process.
GPU cloud instances (like AWS p4d) can be costly. However, we use 'Quantization' and high-throughput servers like vLLM to dramatically reduce VRAM requirements, often making self-hosting cheaper than OpenAI APIs at enterprise scale.
Yes, we deploy modern, sleek chat interfaces (like LibreChat or custom Next.js apps) that connect to your private model, giving your team the exact same user experience as ChatGPT.
Deploy a private AI on your own servers.
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