Go from zero to a production-ready, privacy-first AI assistant in 4–12 weeks. We select the right platform, handle architecture, configuration, integration, and training so your team can focus on using it.
Why Private AI
Private AI lets you run powerful AI assistants on infrastructure you control. No vendor lock-in. No data leaving your network. Full control over models, prompts, and integrations.
The challenge? Choosing the right platform and configuring it for real business use takes deep technical knowledge. That's where we come in.
Platforms We Deploy
The self-hosted AI space is moving fast. We stay current so you don't have to. Here are the platforms we work with:
The hottest open-source AI platform right now with 145,000+ GitHub stars. Ideal for teams that want a personal AI agent with broad model support and an active community. Great for technical teams and rapid experimentation.
A polished, enterprise-ready AI chat interface with 120,000+ GitHub stars. Excellent for teams migrating from ChatGPT who need a familiar experience with full data privacy and robust admin controls.
A powerful AI workflow platform with 100,000+ GitHub stars. Best for businesses that need custom AI workflows, RAG pipelines, and agent-based automation — not just chat.
We also work with LibreChat, Azure OpenAI, AWS Bedrock, and other platforms depending on your requirements. During discovery, we'll recommend the best fit for your team size, use cases, compliance needs, and budget.
Who This Is For
Consolidate ChatGPT, Notion AI, and other scattered tools into one unified assistant that understands your business context.
Legal, financial, healthcare, and any business that can't afford to send proprietary data to third-party AI providers.
You've experimented with AI. Now you need it embedded into workflows — reliably, securely, and at scale.
Our Process
We map your workflows, data sources, and use cases. Then we recommend the right platform — OpenClaw, Open WebUI, Dify, or another option — based on your specific needs.
Week 1–2Infrastructure provisioning, model selection, security configuration, and platform installation on your chosen environment.
Week 2–4Knowledge base ingestion, workflow integrations, custom prompts, role-based access, and thorough testing with your real data.
Week 4–8Go live with hands-on team training, full documentation, and 30 days of post-launch support to ensure adoption.
Week 8–12Investment
Pricing depends on your platform choice, infrastructure requirements, number of integrations, data volume, and team size. Every deployment includes a fixed-price proposal — no surprises.
Free 30-minute consultation. No obligation.
FAQ
It depends on your use case and regulatory requirements. For general business use, OpenClaw is a strong choice for personal AI agents, Open WebUI for team chat, and Dify for custom workflows. For regulated industries (banking, legal, financial advisory), we deploy a fully custom on-premise stack with open-weight models like Llama 3 and Mistral — no third-party platforms, no external APIs, no data leaving your premises. We evaluate your needs during discovery.
For general business deployments, these platforms run on a dedicated server or private cloud instance (AWS, GCP, Azure, DigitalOcean) starting around $24–$200/month in hosting. For regulated clients (banks, law firms, RIAs), we deploy on your own hardware or private cloud with GPU servers — fully air-gapped from the public internet. No data ever leaves your infrastructure.
Yes. We build integrations with your CRM, document management system, email, Slack, databases, and other business tools. All platforms we deploy support REST APIs, webhooks, and direct database connections.
ChatGPT is a general-purpose tool that knows nothing about your business — and sends your data to OpenAI's servers. A private deployment is trained on your data, connected to your tools, configured for your workflows, and runs on your infrastructure. For regulated industries, this isn't just a preference — it's a compliance requirement. Your data never leaves your control.
Every deployment includes 30 days of post-launch support. For ongoing management, model tuning, and feature expansion, we offer Managed AI Operations retainers starting at $3,000/month.
Book a free consultation. We'll assess your use case and recommend the right platform and architecture for your needs.