Enterprise AI Services: Secure, Local, and Built for Your Business

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.