Enterprise AI Services: Secure, Local, and Built for Your Business
Petronella Technology Group builds and deploys custom AI solutions that stay on your premises, protect your data, and meet the strictest compliance requirements. From local AI clusters powered by NVIDIA Blackwell GPUs to fine-tuned language models trained on your business data, we deliver artificial intelligence that works the way your organization needs it to — securely, privately, and under your full control. Serving businesses in Raleigh-Durham, across North Carolina, and nationwide since 2002.
On-Premises AI • Data Sovereignty • CMMC / HIPAA / SOC 2 Compliant • BBB Accredited Since 2003
Secure AI Solutions for Modern Business
Every AI solution we deliver is built with security, compliance, and data privacy at its foundation. We do not cut corners because in regulated industries, cutting corners costs you your contracts, your certifications, and your reputation. Our approach to artificial intelligence starts with understanding your specific business requirements and regulatory obligations, then engineering solutions that exceed those standards while delivering measurable operational improvements.
Custom AI Development
Building bespoke AI agents, chatbots, and automation workflows tailored to your specific business needs. We design, develop, and deploy intelligent systems that integrate with your existing technology stack and processes. Whether you need a customer-facing conversational AI, an internal knowledge assistant, or a multi-step automation pipeline, our development team architects solutions from the ground up using best-of-breed open-source and enterprise AI frameworks. Each solution undergoes rigorous testing before deployment, with ongoing monitoring and iteration to ensure peak performance. We specialize in natural language processing, computer vision, predictive analytics, and agentic AI workflows that can reason, plan, and execute complex multi-step tasks autonomously.
Explore AI Services →Secure AI Infrastructure
Enterprise-grade security for every AI deployment we build. This means encrypted data pipelines, role-based access controls, comprehensive audit logging, model governance frameworks, and air-gapped deployment options for the most sensitive environments. We implement defense-in-depth security architectures around your AI systems, including input validation to prevent prompt injection attacks, output filtering to prevent data leakage, and network segmentation to isolate AI workloads from other critical systems. Our infrastructure designs follow zero-trust principles, ensuring that every component of your AI stack authenticates and authorizes before granting access. Data at rest and in transit is encrypted using industry-standard protocols, and all model artifacts are versioned, signed, and stored in secure repositories with full provenance tracking.
See Cybersecurity Services →AI Compliance
Ensuring your AI implementations meet CMMC, HIPAA, SOC 2, PCI-DSS, and other regulatory requirements from day one. CEO Craig Petronella is a CMMC Certified Registered Practitioner (RP) and Licensed Digital Forensic Examiner, which means our compliance approach is informed by real-world audit and forensic experience, not just theoretical frameworks. We build AI solutions that generate their own compliance artifacts, maintain audit trails, and produce the documentation regulators require. When an auditor asks how your AI system handles controlled unclassified information (CUI), protected health information (PHI), or payment card data, you will have the evidence ready. Every AI project includes a compliance impact assessment, data flow mapping, and privacy impact analysis before a single line of code is written.
CMMC Compliance →Local AI Clusters: Your Data Never Leaves Your Building
For businesses that require absolute data sovereignty, PTG builds and deploys local, on-premises AI clusters. No cloud dependency. No data leaving your premises. No third-party access to your proprietary information, trade secrets, or regulated data. You maintain full physical and logical control over every model, every dataset, and every inference your AI systems produce. This is not a theoretical advantage — for defense contractors working with CUI under CMMC, healthcare organizations handling PHI under HIPAA, and financial institutions subject to PCI-DSS and SOX, on-premises AI is not optional. It is a requirement. PTG has the hardware expertise, the AI engineering depth, and the compliance knowledge to deliver local AI that performs at the level of cloud-hosted solutions while keeping your data exactly where it belongs: under your roof and under your control.
NVIDIA Blackwell GPU Clusters
PTG deploys the latest-generation NVIDIA Blackwell B200 and GB200 NVL architecture for enterprise AI inference and training workloads. These are the most powerful AI accelerators available, delivering massive parallelism for large language model (LLM) hosting, model fine-tuning, and real-time inference at scale. Blackwell GPUs feature second-generation Transformer Engine with FP4 precision support, enabling up to double the compute performance of the previous generation while maintaining the accuracy your business-critical applications demand. For organizations running inference-heavy workloads such as document processing, code generation, customer interaction analysis, or security threat detection, Blackwell architecture provides the throughput necessary to serve thousands of concurrent requests with sub-second latency. We design custom cluster configurations tailored to your specific workload requirements, from single-GPU inference servers to multi-node training clusters interconnected with NVLink and NVSwitch for maximum bandwidth. Every cluster includes redundant power, cooling, and network connectivity engineered for continuous production operation.
AMD Strix Halo Machines
For cost-effective edge AI deployment, PTG utilizes AMD's flagship Strix Halo processors with integrated AI accelerators. These systems deliver powerful local AI capabilities without requiring the space, power, and cooling infrastructure of a full datacenter GPU cluster. Strix Halo machines are ideal for businesses that need robust on-premises AI for tasks like document analysis, conversational AI, automated reporting, and compliance monitoring, but do not require the raw training throughput of dedicated GPU clusters. The integrated NPU (Neural Processing Unit) in Strix Halo handles AI inference workloads with exceptional energy efficiency, making these systems practical for office deployments where power and noise constraints matter. PTG configures Strix Halo workstations with high-speed NVMe storage, ECC memory, and enterprise networking for reliable, always-on AI service delivery. These machines can run quantized versions of leading open-source models locally, providing your team with powerful AI assistants that never send a single byte of data to the cloud.
Your data NEVER leaves your premises. No cloud dependency. Full control. Complete data sovereignty for defense, healthcare, finance, and legal organizations.
Custom Model Fine-Tuning with Unsloth
Generic AI models give generic answers. Your business is not generic. That is why PTG fine-tunes open-source language models specifically on your business data, creating AI systems that understand your industry terminology, your compliance requirements, your internal workflows, and the nuances that make your organization unique. A fine-tuned model does not just answer questions — it answers them the way your best employees would, with the institutional knowledge that took years to accumulate.
Why Unsloth for Fine-Tuning
PTG uses Unsloth as our primary fine-tuning framework because it delivers measurable advantages over alternative approaches. Unsloth achieves approximately 2x faster training speeds compared to standard fine-tuning methods, which means your custom model is ready for production deployment in days instead of weeks. It also reduces GPU memory consumption by approximately 60%, allowing us to fine-tune larger, more capable models on the same hardware — or fine-tune on more cost-effective hardware without sacrificing model quality. This efficiency translates directly to lower costs for your organization, because GPU compute time is the most expensive component of any model customization project.
We fine-tune leading open-source models including Llama, Mistral, Qwen, and DeepSeek for specific business use cases. Whether you need a model that can parse complex legal contracts and extract key terms, a model that understands healthcare billing codes and compliance terminology, a model that can generate engineering documentation in your organization's specific format, or a model that serves as a knowledgeable assistant for your sales team, we train it on your data and validate it against your quality standards before deployment.
Our fine-tuning approach uses LoRA (Low-Rank Adaptation) and QLoRA adapters, which enable cost-effective model customization without full model retraining. Instead of modifying every parameter in a multi-billion-parameter model, LoRA and QLoRA train lightweight adapter layers that capture your domain-specific knowledge while preserving the general capabilities of the base model. This means faster iteration cycles, lower compute costs, and the ability to maintain multiple specialized adapters for different departments or use cases within your organization, all sharing the same base model. When your data changes or your requirements evolve, we can update the adapter without retraining from scratch.
All fine-tuning work can be performed entirely on your on-premises hardware, ensuring that your proprietary training data — which may include sensitive documents, internal communications, financial records, or regulated information — never leaves your controlled environment. The resulting custom model runs locally on your infrastructure, providing fast inference without any external API calls or cloud dependencies.
RAG Databases: AI Grounded in Your Actual Data
Retrieval-Augmented Generation (RAG) is how PTG ensures your AI systems give accurate, verifiable answers instead of making things up. A RAG pipeline connects your AI model to a structured knowledge base built from your own internal documents, policies, procedures, and institutional knowledge. When your AI answers a question, it retrieves the relevant source documents first, then generates its response based on that verified information. The result is an AI system you can trust because every answer is traceable back to its source material.
Custom Knowledge Bases
We build comprehensive knowledge bases from your internal documents, policies, standard operating procedures, training materials, product documentation, and institutional knowledge. Every document is ingested, chunked intelligently, embedded into vector representations, and indexed for fast semantic retrieval. The system understands meaning, not just keywords, so when an employee asks a question using different terminology than the source document, the AI still finds and presents the right answer. We support ingestion of PDFs, Word documents, spreadsheets, email archives, SharePoint libraries, Confluence wikis, and virtually any structured or unstructured data source your organization uses. This is perfect for compliance documentation, IT runbooks, HR policies, and legal documents that your team needs to reference quickly and accurately.
Vector Database Infrastructure
PTG deploys production-grade vector databases including ChromaDB, Milvus, and Pinecone for semantic search that scales with your data. Vector databases store mathematical representations of your documents that capture meaning and context, enabling AI-powered search that understands concepts rather than just matching text strings. We select the right vector database for your specific requirements: ChromaDB for lightweight, on-premises deployments; Milvus for high-performance, distributed workloads handling millions of documents; and Pinecone for managed cloud scenarios where permitted by your compliance framework. Each deployment includes optimized indexing strategies, metadata filtering, and hybrid search capabilities that combine semantic similarity with traditional keyword matching for maximum retrieval accuracy.
Secure, On-Premises RAG Pipelines
For organizations handling sensitive data, PTG builds complete RAG pipelines that operate entirely on your premises. Your compliance documentation, IT runbooks, HR policies, legal documents, financial records, and proprietary business intelligence stay within your physical and network perimeter at all times. No document content is ever transmitted to external APIs, cloud services, or third-party embedding providers. We deploy local embedding models that convert your documents into vector representations on your own hardware, and local inference models that generate responses without any external dependencies. The entire pipeline — from document ingestion to vector storage to query processing to response generation — runs within your controlled environment, fully air-gappable for the most sensitive deployments.
Purpose-Built AI Agents for Every Business Function
PTG's AI agents are not generic chatbots. Each agent is purpose-built for a specific business function, trained on domain-specific knowledge, and integrated with the systems and workflows it needs to be effective. These agents handle real work — answering calls, triaging security incidents, guiding compliance processes, and resolving IT support tickets — so your human team can focus on the strategic, high-judgment work that drives your business forward.
Penny
LiveFront-Desk & Sales AI
Penny answers incoming calls and website inquiries 24 hours a day, 7 days a week, 365 days a year. She qualifies leads, answers frequently asked questions about PTG's services, schedules appointments, and routes complex inquiries to the appropriate human team member with full context. Penny never puts callers on hold, never takes a day off, and never forgets to follow up. She handles the high-volume, repetitive front-desk interactions that consume hours of staff time every day, ensuring that every prospect and client receives an immediate, professional response regardless of when they reach out.
Eve
LiveSecurity Emergency Triage
Eve handles immediate security incident intake and triage. When a client reports a potential breach, ransomware attack, or suspicious activity, Eve initiates the incident response workflow: classifying the threat, gathering critical initial information, starting containment protocol recommendations, and escalating to PTG's Security Operations Center (SOC) team with a structured incident report. Eve ensures that the critical first minutes of any security event are handled with precision, reducing response time and improving containment outcomes.
ComplyBot
LiveCMMC Compliance Assistant
ComplyBot guides defense contractors through the CMMC compliance process with AI-powered assistance grounded in NIST 800-171 requirements. It performs gap analysis against CMMC Level 2 controls, provides System Security Plan (SSP) guidance, helps track SPRS scores, and answers detailed audit preparation questions. ComplyBot draws from PTG's extensive compliance knowledge base, built from years of helping defense contractors achieve and maintain their certifications. It reduces the time and confusion involved in navigating complex compliance frameworks while ensuring accuracy.
Joe
LiveIT Help Desk Agent
Joe handles Tier 1 IT support ticket triage and resolution. He walks users through common troubleshooting steps, assists with password resets, provides guided solutions for frequently reported issues, and escalates complex problems to human technicians with full context and diagnostic information already gathered. Joe reduces the burden on your IT support team by resolving routine issues immediately, ensuring that human expertise is reserved for the problems that genuinely require it.
Custom Agents
Your BusinessBuilt for Your Specific Processes
Beyond our standard agent fleet, PTG builds custom AI agents tailored to your organization's unique processes. Whether you need an agent that handles patient intake for a medical practice, processes insurance claims for a financial services firm, manages vendor onboarding for a manufacturing company, or automates any other domain-specific workflow, we design, train, and deploy agents built around your exact requirements, your data, and your compliance obligations. Every custom agent is tested against your real-world scenarios before going live.
See How PTG Delivers AI Solutions
Learn how Petronella Technology Group approaches secure AI development, deployment, and ongoing management for businesses that cannot afford to get it wrong. Craig Petronella walks through the methodology, the technology stack, and the security-first philosophy that distinguishes PTG's AI services from generic providers.
Books by Craig Petronella
Craig Petronella is an Amazon #1 Best-Selling Author, Licensed Digital Forensic Examiner, CMMC Certified Registered Practitioner (RP), and MIT Certified Professional in AI, Blockchain, Cybersecurity, and Compliance. His books offer insights into the intersection of technology, security, and what it means to be human in an age of artificial intelligence.
Beautifully Inefficient
Human Flaws, Our Greatest Feature
AI is fast, efficient, and relentless. You are slow, messy, and gloriously human — which might be exactly what saves your career. In a world obsessed with speed and optimization, Craig Petronella reveals a counterintuitive truth: your human flaws, your inefficiencies, your messy humanity are not weaknesses to overcome. They are your most valuable assets. Drawing on research from Goldman Sachs, Stanford, McKinsey, and leading technology institutions, this book exposes the efficiency myth and offers two powerful paths: the Analog Path (careers AI cannot touch) and the Digital Path (becoming a centaur — combining human intuition with machine precision). Essential reading for professionals, entrepreneurs, parents, and students navigating the AI revolution.
View on AmazonEncrypted Ambition
Where Ambition Meets Encryption
A deep dive into the convergence of cybersecurity, privacy, and business ambition. Craig Petronella draws on over two decades of experience protecting businesses and individuals from digital threats to explore how organizations can pursue aggressive growth and innovation without compromising the security and privacy of their customers, their employees, and their data. Essential reading for entrepreneurs, executives, and technology professionals who understand that security is not a cost center — it is a competitive advantage.
View on AmazonAI Services FAQ
Security is not an afterthought at PTG — it is the foundation of every AI solution we build. We implement defense-in-depth architectures including encrypted data pipelines, role-based access controls, comprehensive audit logging, input validation to prevent prompt injection attacks, and output filtering to prevent data leakage. For organizations with strict data residency requirements, we deploy fully on-premises AI systems where your data never leaves your physical control. Every AI project includes a security assessment, data flow mapping, and privacy impact analysis. CEO Craig Petronella is a Licensed Digital Forensic Examiner and CMMC Certified Registered Practitioner (RP), bringing real-world forensic and compliance expertise to every engagement.
Model fine-tuning takes a general-purpose AI model and trains it on your specific business data so it understands your industry terminology, your compliance requirements, and your workflows. Think of it as the difference between hiring a generic temp worker and training a dedicated employee who understands your business inside and out. PTG uses Unsloth for efficient fine-tuning, achieving approximately 2x faster training with approximately 60% less memory usage compared to standard methods. We fine-tune open-source models like Llama, Mistral, Qwen, and DeepSeek using LoRA/QLoRA adapters, keeping costs reasonable while delivering models that give answers relevant to your specific operations. All fine-tuning can be performed on your local hardware for complete data privacy.
A local AI cluster is on-premises computing hardware specifically configured to run AI workloads within your facility. PTG builds clusters using NVIDIA Blackwell GPUs for high-performance training and inference, and AMD Strix Halo machines for cost-effective edge AI deployments. You need a local AI cluster if your organization handles regulated data (CUI under CMMC, PHI under HIPAA, payment card data under PCI-DSS), if you have strict data sovereignty requirements, if you need guaranteed low-latency AI inference without internet dependency, or if you simply want full physical and logical control over your AI systems. Local clusters eliminate cloud dependency, subscription costs, and the risk of third-party data access.
RAG stands for Retrieval-Augmented Generation. It is a technique that connects your AI model to a knowledge base built from your actual documents, so the AI retrieves verified information before generating a response. Without RAG, an AI model can only draw from its training data, which may be outdated, incomplete, or irrelevant to your specific context — leading to confident but incorrect answers (hallucinations). With RAG, the AI searches your document database, finds the most relevant passages, and generates its answer based on that verified source material. Every response can be traced back to its source documents. PTG builds RAG pipelines using vector databases like ChromaDB, Milvus, and Pinecone, and can deploy the entire pipeline on your premises for maximum data security.
PTG builds AI solutions that comply with CMMC (Cybersecurity Maturity Model Certification), HIPAA (Health Insurance Portability and Accountability Act), SOC 2, PCI-DSS (Payment Card Industry Data Security Standard), ITAR, and other federal and industry regulatory frameworks. Our CEO Craig Petronella is a CMMC Certified Registered Practitioner (RP), giving our team firsthand knowledge of what auditors look for and how to build AI systems that generate their own compliance evidence. Every AI project at PTG includes a compliance impact assessment before development begins, data flow mapping to track how information moves through the system, and audit-ready documentation that satisfies examiners.
AI service costs depend on the scope and complexity of your project. A single-purpose AI agent or chatbot deployment has different requirements than a multi-node GPU cluster with custom fine-tuned models and enterprise RAG pipelines. PTG provides detailed, transparent proposals after an initial consultation where we understand your specific requirements, compliance obligations, and existing technology infrastructure. We do not charge for the initial consultation. Contact us at (919) 348-4912 or through our contact page to schedule a conversation about your AI needs and receive a tailored assessment and proposal.
As featured in major media outlets across North Carolina and nationally
Ready to Deploy Secure AI for Your Business?
Whether you need a local AI cluster for data sovereignty, a fine-tuned model trained on your business data, a RAG knowledge base built from your internal documents, or a custom AI agent to automate a specific workflow, PTG has the expertise, the hardware, and the security credentials to deliver it. Schedule a consultation with our team in Raleigh to discuss your AI requirements. We will assess your needs, identify the right approach, and provide a transparent proposal. No pressure, no obligation, no generic sales pitch — just a technical conversation about how AI can work for your organization.
5540 Centerview Dr., Suite 200, Raleigh, NC 27606
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