Ghost AI SystemsPRIVATE AI DEPLOYMENT
Private AI with deployment
on your terms.
Custom AI models trained on your data, deployed on infrastructure that fits your security and compliance needs. More control, clearer governance, and flexible ownership options.
The Problem
Most AI products optimize for convenience, not control.
Off-the-shelf AI platforms can be excellent, but they often come with shared infrastructure, provider-defined retention policies, and deployment limits that don't fit every organization.
Cloud AI Risk
- Provider-controlled infrastructure and policy changes
- Sensitive documents may be processed outside your preferred environment
- Limited control over retention, access, and audit workflows
- Compliance review can become more complex
- Vendor dependency and recurring API costs
- Generic models may not reflect your domain expertise
Private AI
- Deployment options aligned to your infrastructure strategy
- Model behavior shaped around your domain knowledge
- More control over data, access, retention, and approvals
- Designed for HIPAA, SOC 2, and air-gapped environments
- Lower dependence on per-call API pricing
- A differentiated system tailored to your organization
67% of enterprises cite data privacy as their #1 barrier to AI adoption.
Capabilities
What your private model can do.
Internal Knowledge Base
An AI that knows your organization — policies, SOPs, and historical decisions — with deployment and data-handling choices aligned to your governance requirements.
Document Analysis
Contract review, compliance checks, and research synthesis — powered by a model adapted to your documents, workflows, and domain context.
Private Voice Agents
AI phone agents trained on your services, pricing, and protocols with architecture choices that can prioritize control, auditability, and infrastructure fit.
Competitive Intelligence
Proprietary research, market analysis, and strategic insights generated from models and workflows tuned to your internal data and strategic priorities.
Codebase AI
A model trained on YOUR codebase that understands your architecture, patterns, and conventions. Onboard new developers in minutes.
Customer Automation
Chatbots, email responders, and intake systems that handle customers intelligently with deployment patterns designed around your security, compliance, and integration constraints.
Industries
Built for organizations that can't compromise.
Legal
Attorney-client privilege stays privileged.
Contract analysis, case research, and brief drafting — configured around your firm's precedents, retention requirements, and client-data handling policies.
Healthcare
HIPAA-ready AI with tighter governance controls.
Patient intake automation, clinical decision support, and medical record analysis with architecture choices shaped by HIPAA, audit, and security requirements.
Finance
Trading strategies stay in your vault.
Risk modeling, compliance monitoring, and market research powered by a model aligned to your proprietary data, controls, and review workflows.
Government & Defense
Air-gapped deployment. Veteran-owned.
Classified-grade AI systems deployed on isolated networks. Built by a U.S. Military veteran who understands the stakes.
Real Estate
Client databases competitors can't access.
Lead scoring, market analysis, and client matching — all running on your own infrastructure.
Enterprise
Your proprietary data is your competitive moat.
Custom models that encode institutional knowledge, automate workflows, and give your team more control over how sensitive data is used.
The Process
From your data to your deployed model in 4 weeks.
Data Audit
We inventory your proprietary data assets — documents, conversations, processes, domain knowledge — and determine the optimal model architecture.
Model Architecture
Select and configure the right base model for your use case. We handle model selection, quantization strategy, and training pipeline design.
Private Training
Fine-tune the model on your data in an environment matched to your governance and deployment requirements. You get visibility into the training process and controls.
On-Premise Deploy
Model deployed on infrastructure that fits your requirements — on-premise, isolated cloud, or controlled hybrid. Includes API endpoints, monitoring, and team training.
Under The Hood
Technical specifications.
{
"base_models": [
"google/gemma-4-27b-it",
"meta-llama/Llama-3.1-70B",
"mistralai/Mixtral-8x22B",
"Qwen/Qwen2.5-32B"
],
"training": {
"method": "LoRA / QLoRA",
"precision": "bf16 / int4",
"context_window": "256,000 tokens",
"multimodal": ["text", "image", "audio", "video"]
},
"deployment": {
"targets": ["Apple Silicon", "NVIDIA A100/H100", "Cloud-Isolated"],
"api": "OpenAI-compatible REST endpoint",
"monitoring": "Built-in health checks + alerting"
},
"license": "Apache 2.0 — you own everything",
"data_exposure": "none",
"vendor_lock_in": "none"
}Investment
Choose your security level.
Every tier includes strong ownership terms, lower dependency on recurring API costs, and deployment options tailored to your environment.
Sentinel
$15,000
Single-purpose private AI for one critical workflow.
- 4B parameter model (Gemma 4 E4B)
- LoRA fine-tuning on your data
- Single use-case deployment
- Deployed on your hardware
- Full model ownership
- 14-day support window
Fortress
$40,000
Multi-domain AI system for organizations with complex data.
- 26B MoE model (Gemma 4 / Llama)
- Multi-domain training pipeline
- Up to 3 deployment endpoints
- Full infrastructure setup
- Voice agent integration
- 30-day support + documentation
Sovereign
$100,000+
Enterprise-scale AI infrastructure with ongoing evolution.
- Multiple specialized models
- Custom training pipeline
- Unlimited deployment endpoints
- Air-gap compatible architecture
- Monthly model retraining
- Dedicated support engineer
Common Concerns
We hear these a lot.
"We don't have ML engineers."
You don't need them. We handle the entire pipeline — data preparation, model training, deployment, and maintenance. Your team uses the AI through simple interfaces we build for them.
"How does this compare to ChatGPT or Claude?"
For general knowledge, frontier models are excellent. For your specific domain, a private deployment can be a better fit when you need tighter governance, custom behavior, and more control over where data is processed.
"What hardware do we need?"
Starts at a single Mac Studio or a modest GPU server. We spec the exact hardware for your use case before any work begins. Most clients are surprised at how affordable the infrastructure is.
"Can we update the model with new data?"
Absolutely. We offer monthly retraining packages that keep your model current with new documents, processes, and knowledge. The model gets smarter as your organization grows.
"Is it really as good as GPT?"
For your specific domain, it can be more useful. A model adapted to 10 years of your contracts may produce more relevant reviews than a general-purpose model because it is tuned to your materials, terminology, and workflow.
"What about compliance and auditing?"
Every training run is documented. Data lineage is tracked. The model runs on your infrastructure under your security policies. We provide full documentation for compliance teams and auditors.
You don't need a one-size-fits-all AI stack.
You can choose more control.
Book a private consultation. In 30 minutes, we'll assess your data landscape and show you exactly what a custom model can do for your organization — even if you don't hire us.
Limited to 2 Private AI engagements per quarter · NDA provided on request