Full-Service AI Company

AI Services From Strategy to Secure Deployment

Consulting, custom development, private deployment, automation, chatbots, AI hardware, and security governance. The full AI lifecycle under one roof, built on 23+ years of cybersecurity expertise.

CMMC Registered Practitioner Org | BBB A+ Since 2003 | 23+ Years Experience
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Petronella AI

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Private AI Briefing

Private AI Solutions for Business

If you operate under HIPAA, CMMC, DFARS, GLBA, or any contract clause that restricts where regulated data can be processed, a public chatbot is the wrong tool. In this short briefing, Petronella Technology Group walks through what a private AI deployment actually looks like: models that run on our enterprise private AI cluster or your own hardware, retrieval-augmented generation against your own document corpus, per-user access control, complete prompt and response logging for audit, and zero training on your data. You will also see how we build the full stack so your team never ships sensitive information outside a controlled boundary, and how the same architecture supports custom AI agents for intake, triage, document review, and back-office automation. Our Raleigh practice has been delivering regulated-industry technology since 2002 and is the CMMC-AB Registered Provider Organization #1449. If your legal team or compliance officer has flagged AI adoption, this is the starting point.

Click to play: Private AI Solutions for Business
Why Petronella Technology Group

Cybersecurity-First AI Services

We evaluate every AI tool for data exposure risks before recommending it.

Security Built In

  • CMMC Registered Practitioner on every engagement
  • HIPAA, SOC 2, and NIST compliance integrated from day one
  • Own GPU infrastructure in Raleigh for data sovereignty

Full Lifecycle Delivery

  • Strategy through production under one roof
  • No handoff failures between consulting and implementation
  • 90 days of post-deployment support on every project
Process

How We Work

01

Free discovery call to understand your goals

02

AI readiness assessment (2-4 weeks)

03

Prioritized roadmap with ROI projections

04

Build and deploy your AI solution

05

Security audit and compliance validation

06

90-day post-deployment support

Industries

Built for Regulated Industries

Healthcare / HIPAA Defense / CMMC Financial Services Legal Manufacturing State Government Professional Services
Hardware & Models

Recommended AI Hardware and Models

We deploy AI on enterprise-grade NVIDIA hardware with leading open-source models for maximum performance and data sovereignty.

FAQ

Frequently Asked Questions

Do you work with businesses outside Raleigh?

Yes. While our office is in Raleigh, we serve clients throughout the Research Triangle (Durham, Chapel Hill, Cary, RTP) and across North Carolina including Charlotte. We also work with organizations nationally in healthcare, defense, and financial services.

What size businesses do you serve?

Our AI services scale from 5-person medical practices to 500-employee enterprises. Small businesses start with targeted automations for immediate ROI. Mid-market companies engage us for comprehensive strategy, custom development, and private deployment.

How is Petronella different from national AI consulting firms?

Three differences: we are local (operating in Raleigh since 2002), we are a cybersecurity firm first (every AI recommendation evaluated for security), and we build and deploy, not just advise. Strategy and implementation under one roof eliminates handoff failures.

Can you help us with AI if we have no technical staff?

Yes. Many of our clients have no dedicated IT staff. We handle the entire process from assessment through deployment, training, and ongoing support. We can also serve as your outsourced AI department through our managed IT services.

What does a typical AI engagement look like?

Most begin with a free discovery call (30-60 minutes), followed by a 2-4 week assessment producing a prioritized roadmap. Implementation varies: chatbots take 2-4 weeks, custom AI runs 6-16 weeks, private servers take 4-8 weeks. Every project includes 90 days of post-deployment support.

EXPLORE

AI Models, Frameworks & Platforms

ROCm by AMD Unsloth Vulkan for AI BLOOM by BigScience Baichuan 2 Code Llama by Meta Command R+ by Cohere DBRX by Databricks DeepSeek R1 DeepSeek V3 FLUX by Black Forest Labs Falcon 180B by TII GLM-4 by Zhipu AI Gemma 2 by Google InternLM 2 LLaMA 3.1 by Meta LLaVA-NeXT Mistral Large Mixtral 8x22B Nemotron by NVIDIA OLMo 2 by AI2 Phi-4 by Microsoft Qwen 2.5 by Alibaba Qwen 3 by Alibaba SOLAR by Upstage Stable Diffusion 3 StarCoder 2 by BigCode Whisper Large V3 Yi Large by 01.AI Zephyr by Hugging Face Apple AI with M4 Ultra Linux for AI Microsoft AI Platform NixOS for AI ChatGPT Enterprise Deployment Claude by Anthropic Google Gemini Integration Grok by xAI Microsoft Copilot Deployment NVIDIA Grace CPU for AI Intel Xeon 6700 AI Server CPU Intel Core Ultra 9 NPU Apple M4 Ultra AI AMD Instinct MI300X AMD Instinct MI250X AMD Radeon AI PRO R9700
Get Started

Talk to an AI Expert

Free consultation to discuss what AI can do for your business. No obligation, no sales pressure. If you handle regulated data, ask about our enterprise private AI cluster where your data never leaves our infrastructure.

Compare Private AI Approaches

Evaluating vendors? See how Petronella stacks up against popular alternatives: Petronella vs Microsoft Copilot for Business side-by-side on data residency, BAA coverage, and CMMC path. For defense contractors comparing CMMC MSPs, see Petronella vs Summit 7.

Running an MSP that needs private-AI capability without a seven-figure DGX build? We wholesale GPU time, private-LLM deployments, and agent builds to regional MSPs — compare engagement tiers on the pricing for Petronella Operator Council page, and download the MSP AI compliance guide for the profit model.

Latest AI Engineering Insights from Petronella Technology Group

Ship production AI safely. Real-world patterns from the Petronella AI Engineering team on Claude, agent tooling, local models, and enterprise AI strategy.

Claude

Claude Design Principles for Regulated AI Builds

How Anthropic's Claude design and safety-first philosophy translates into production AI tooling for regulated industries.

Enterprise AI

The Claude Mythos: Why Anthropic Is Winning Enterprise AI

Why Claude overtook OpenAI in enterprise AI share and how Petronella built its agent fleet on it.

Claude SDK

Claude SDK: Ship Production AI Agents Safely

Build production AI agents on the Claude SDK with architecture, tool use, prompt caching, and a test harness.

AI Tooling

Cmux: The AI Agent Terminal for Regulated Dev Shops

How Cmux compares to tmux and Zellij, with compliance questions for AI shell access.

Claude

Paperclip for Claude: How to Vet AI Extensions Safely

Paperclip turns Claude Code agents into a coordinated team. What to review before plugins touch client data.

AI Coding

OpenCode, Antigravity, and Gemma 4: Safe AI Coding Tools

Comparing OpenCode, Google Antigravity, and Gemma 4 for CMMC and HIPAA teams.

AI Coding

Pi.dev Review: Terminal Coding Agent for Regulated Teams

A minimal open-source terminal coding agent: install, risks for regulated businesses, and safe adoption.

Open Source AI

Hermes Agent: Open-Source AI for Regulated Businesses

Hermes Agent runs self-hosted AI on your own infrastructure. When it beats Claude and GPT for data sovereignty.

Local AI

Jan AI Review: Local-First LLMs for Regulated Businesses

When Jan AI fits regulated businesses and when you outgrow it for a private AI cluster.

AI Research

Karpathy's Autoresearch: What It Means for Enterprise R and D

Autoresearch runs AI experiments overnight on a single GPU. What it means for regulated businesses.

AI Video

Seedance 2.0 for Business Video: What Owners Need to Know

Seedance 2.0 is ByteDance's new AI video model, compared with Sora 2, Veo 3, Runway, Kling, and Pika.

AI Hardware

AI Workstation 2026: RTX 5090 Deep Learning Build

Full build guide for a 2026 AI workstation around the RTX 5090. Chassis, thermals, CUDA, and workloads.

Infrastructure

Proxmox Backup Server Configuration Guide

Configure Proxmox Backup Server for real-world recovery. Datastores, verification, encryption, and restore drills.

Infrastructure

Proxmox vs Docker: When to Use Each in 2026

When Proxmox belongs in the stack, when Docker wins, and how they compose cleanly for production AI infrastructure.

Virtualization

Migrate VMware ESXi to Proxmox VE: Step by Step

Complete migration runbook for moving production workloads off VMware ESXi, with pre-flight checks and rollback paths.

Managed AI Operations and Readiness

Two entry points for teams that know they need AI help but are not yet sure what shape the engagement should take.

Managed AI

AI Managed Services

Ongoing operations, monitoring, and governance for private AI deployments, with uptime, update cadence, and security patching owned by the Petronella team.

Offer

AI Readiness Assessment Offer

Fixed-scope readiness engagement that benchmarks your data maturity, governance posture, and highest-ROI AI opportunities before any build decision.