Private, Self-Hosted AI Solutions
AHN Consulting builds private AI systems for organizations that need intelligent automation without sending sensitive data to public cloud APIs. Every deployment runs on your infrastructure—on-site or in your private cloud.
Ideal for:
- Healthcare
- Legal
- Finance
- Government
Why Private AI?
- Your documents and data never leave your servers
- No per-query API costs that scale unpredictably
- Compliance-friendly for regulated environments
- Full control over model selection, updates, and behavior
- One-time build cost vs. ongoing SaaS subscriptions
What You Get
We design, build, deploy, and tune your private AI system end-to-end—then hand over a solution your team can confidently operate.
- Secure deployment on your servers or private cloud
- Clear architecture and documentation
- Performance testing and validation
- Post-launch support and tuning options
What you can expect
A private AI program that moves from idea to production quickly—without compromising data control.
2–6
Weeks to first launch
0
Data sent to public APIs
1
Owner: your team
Explore solutions
Pick a service to see a quick overview and jump straight to the right pricing section.
Service 1: RAG Systems (Retrieval-Augmented Generation)
A RAG system lets your staff ask plain-language questions and get answers sourced directly from your own documents—manuals, policies, contracts, reports, and more.
Common use cases
- Internal knowledge base / employee Q&A assistant
- Customer-facing support chatbot trained on product documentation
- Legal and compliance document search
- Procurement and vendor policy lookup
RAG Pricing Tiers (one-time)
| Tier | Price | Best for | Highlights |
|---|---|---|---|
| Basic RAG | $4,500 | Small teams, a single document collection (up to ~500 documents) |
|
| Professional RAG Recommended | $12,000 | Mid-size teams, multiple sources, departmental separation |
|
| Enterprise RAG | $28,000+ | Large organizations, regulated industries, complex environments |
|
Service 2: Private LLM Deployment
Deploy an open-weight large language model (Llama 3, Mistral, Phi-3, and more) on your hardware or private cloud—run AI inference with no external API dependency.
Common use cases
- Internal AI assistant / copilot for staff
- Automated drafting and summarization
- Code assistance for development teams
- Customer service automation
Private LLM Pricing Tiers (one-time)
| Tier | Price | Best for | Highlights |
|---|---|---|---|
| Starter LLM | $6,000 | Small teams evaluating private AI, single-use-case deployment |
|
| Professional LLM Recommended | $18,000 | Multiple use cases, integrations into existing workflows |
|
| Enterprise LLM | $45,000+ | Organization-wide deployment, compliance-sensitive environments |
|
Service 3: AI Training Platforms
We help your staff actually use AI effectively. We build structured internal platforms for teaching prompt engineering, AI workflows, and adoption—tailored to your roles and tools.
What we build
- Internal LMS with AI-focused curriculum
- Hands-on sandboxes connected to your real tools
- Workshops for specific roles (sales, operations, finance, HR)
- Ongoing prompt library maintenance
Training Pricing
| Package | Price | Description |
|---|---|---|
| Workshop (half-day) | $1,500 | On-site or virtual, up to 20 staff, intro to AI + your tools |
| Workshop (full-day) Most popular | $2,500 | Deep dive, role-specific use cases, hands-on exercises |
| Training Platform Build | $8,000–$18,000 | Custom internal LMS with AI curriculum, self-paced + live sessions |
| Ongoing Curriculum Updates | $500/month | New modules, model updates, prompt library additions |
Monthly AI Managed Services (Optional)
After deployment, we can keep your AI systems running smoothly and improving over time.
| Plan | Price / month | Included |
|---|---|---|
| Monitor | $500 | Uptime monitoring, model updates, 1 hour support |
| Maintain Recommended | $1,200 | Everything in Monitor + 4 hours tuning, monthly performance report |
| Evolve | $2,500 | Everything in Maintain + 8 hours development, new features, staff Q&A |
How we deliver (interactive + measurable)
Clear milestones. Visible progress. A system your team can own.
1
Discovery
Data, compliance, and success criteria—so we build the right thing.
2
Build
Ingestion, model + retrieval, and a clean interface—running in your environment.
3
Validate
Accuracy testing, safety checks, and real-user workflows—before launch.
4
Launch + Improve
Monitoring, tuning, and new features—so your system keeps getting better.
FAQ
Click a question to expand—quick answers for buyers and technical teams.
Not always. Many use cases work on CPU, but GPUs help a lot with speed and larger models. We’ll recommend hardware based on your users, latency goals, and budget.
Your data stays on your infrastructure (on-prem or private cloud). We can also set up strict access controls so teams only see what they should.
Yes. We commonly connect to Microsoft 365, Google Drive, and internal file shares. We can also integrate with Slack/Teams and your web apps so people use AI where they already work.
We test against real questions, tune prompts and retrieval, and add guardrails (allowed sources, role permissions, and logging). For RAG, we can require citations so users can verify answers.
Ready to deploy private AI on your infrastructure?
Book a free consultation and we’ll recommend the right approach for your data, compliance needs, and timeline.