We don't pitch AI. We build it.

Ten-plus production AI agents run 24/7 on our enterprise private cluster, doing real threat analysis paired with human experts. This is how Petronella runs - and what we ship for your business.

CMMC-AB RPO #1449 · BBB A+ Since 2003 · MIT-Certified AI
Call Penny → (919) 348-4912 AI Zero-Trust Guide
10+ Production AI Agents Running 24/7
RPO #1449 CMMC-AB Registered Provider Org
A+ BBB Accredited Since 2003
AI Consulting Custom Dev Automation Agents RAG AI Security

Private AI on your hardware, not someone else's API

Most AI agencies bolt their work on top of OpenAI or Anthropic APIs, which means your prompts, your customer data, and your proprietary knowledge leave your environment every time the model runs. Petronella deploys open-source models on dedicated GPU servers, so nothing crosses your firewall. The same approach we use for our own AI cybersecurity stack is what we ship for clients in healthcare, defense, and finance.

What runs in production right now

Our internal cluster runs more than ten AI agents around the clock - threat analysis, log triage, document review, lead qualification, and code review. Every agent is paired with a human reviewer, because unsupervised AI in a regulated environment is malpractice. We bring that same architecture to client engagements through AI agent development and workflow automation.

Built by a cybersecurity firm, not an AI startup

Petronella has been protecting regulated businesses since 2002. Craig Petronella is a CMMC Registered Practitioner; the firm is a CMMC-AB Registered Provider Organization (RPO #1449); and our AI work is informed by an MIT certificate in AI strategy. That foundation is why our custom AI development engagements ship with HIPAA, CMMC, and SOC 2 controls baked in - not patched on after launch.

From assessment to a working prototype in 2 to 4 weeks

Engagements start with a free 15-minute call. If there's a fit, we run a paid AI readiness assessment that produces a prioritized roadmap with cost estimates and ROI math. From there, most prototypes ship in two to four weeks. RAG systems that connect a model to your knowledge base typically take four to eight weeks; private GPU server builds and custom AI hardware deployments run four to eight weeks alongside development.

Where the data and the answers live

Every AI engagement we run answers two questions before a single line of code is written: where does your data live, and where do the model's answers go? For most clients the answer is “both stay inside your network.” That's the whole point of private AI data analytics - you keep the leverage AI gives you without handing your business intelligence to a third-party API.

Explore

Private AI services

Pick the path that matches what you need next. Or call Penny - she'll book your free 15-minute consult.

AI Consulting (Raleigh)

Strategy, readiness assessment, and a prioritized roadmap with ROI math - before you spend a dollar on infrastructure.

Explore AI consulting →

AI Software Development

Custom AI applications, fine-tuned models, and integrations built by engineers who also write your security architecture.

See custom AI development →

AI Automation Services

Replace repetitive manual workflows with AI-driven automation. Document processing, ticket routing, data extraction, and more.

Explore AI automation →

AI Agent Development

Production-grade AI agents that work alongside your team. Same architecture we use for our own 10+ internal agents.

Build AI agents →

RAG Implementation

Retrieval-augmented generation that connects any model to your private knowledge base for grounded, accurate answers.

Implement RAG →

AI Cybersecurity Solutions

AI-powered threat detection, log triage, and incident response, paired with human analysts. The stack we run for ourselves.

See AI security →

Custom AI Servers

Bare-metal GPU servers spec'd, built, and deployed in your environment. No cloud middlemen, no per-token pricing.

Build a private AI server →

Private AI Cluster

Multi-GPU on-prem cluster build for teams that need their own training and inference capacity, sized to the model and the workload.

Build a private cluster →
AI for regulated industries, related pillars, and analytics
AI service areas across North Carolina
FAQ

Common questions about private AI

Will my data be sent to OpenAI or other third-party APIs?
Not unless you specifically choose a cloud API deployment. Our default approach is private AI where your data never leaves your network. We deploy open-source models on dedicated hardware, giving you full data sovereignty with zero third-party exposure. If a cloud API is the right fit for a non-sensitive use case, we can integrate it - but we always design the architecture so sensitive data stays inside your controlled environment.
Can you deploy AI that meets HIPAA and CMMC requirements?
Yes. We deploy private AI on your infrastructure or ours with encryption at rest and in transit, role-based access, audit logging, and BAA execution for HIPAA covered entities. Our CMMC-RP credentials mean we understand CUI handling for defense contractors. We document all AI data flows and map them to the applicable framework before deployment, so the system is audit-ready from day one.
What does a typical AI engagement cost?
Pricing is engagement-specific and depends on scope, data complexity, and whether the deployment is cloud, hybrid, or fully on-prem. Every engagement begins with a free discovery call followed by a fixed-price proposal - no hourly billing surprises. Call (919) 348-4912 for a current quote.
How long until something is running in production?
Most prototypes ship in two to four weeks after the assessment is complete. RAG implementations take four to eight weeks. Custom AI development runs six to sixteen weeks. Private AI server deployments run four to eight weeks in parallel with development. Every project includes 90 days of post-deployment support.
Do you work with small businesses or only enterprises?
Both. Our AI services scale from 5-person practices to 500-employee enterprises. Small businesses usually start with targeted automations that deliver immediate ROI - document processing, customer routing, data extraction. Larger organizations engage us for full strategy consulting, custom model development, and private infrastructure.
What AI models do you actually deploy?
For private deployments we use open-source models: Llama 3.1, Mistral, Qwen, DeepSeek, and Gemma, selected by domain, data volume, and performance requirements. For fine-tuning we pick the base that best fits the use case. We also build RAG systems that connect any model to your proprietary knowledge base for grounded, accurate responses.

Ready to talk?

Call Penny - she answers before the third ring, asks 3 qualifying questions, then books your free 15-minute consult.

Call Penny → (919) 348-4912 Private AI Playbook