Enterprise AI & Agentic Engineering: Cloud & On-Premises (Local) LLMs
Transform enterprise workflows with custom tool-calling agents and secure Large Language Models deployed on Cloud or On-Premises (Local) infrastructure.
Unlock Enterprise Generative AI without compromising data privacy. Revolic Tech specializes in developing autonomous tool-calling AI Agents, Retrieval-Augmented Generation (RAG), and deploying both Frontier Cloud LLMs (Google Vertex AI, Gemini, Azure OpenAI, Anthropic) and private On-Premises (Local) LLMs (Gemma, Qwen, Deepseek, GLM, self-hosted GPU clusters) grounded directly in your ERP, CRM, and internal document knowledge bases.
Technical Architecture & Protocol Blueprints
Comprehensive structural diagrams illustrating verified enterprise protocols, message exchange flows, and system integration patterns.
Enterprise AI & Agentic LLM Orchestration Architecture
5-Tier enterprise AI architecture spanning Strategy & Governance, Business Applications Layer, Orchestration & APIs (Agentic AI & Prompt Management), AI/ML Platform & RAG, and Shared Central Data Foundations.
Key Modules & Functional Subsystems
Autonomous Task-Executing AI Agents
Multi-step reasoning agents that interact with APIs, generate ERP purchase orders, query telemetry, and resolve client tickets.
Enterprise Retrieval-Augmented Generation (RAG)
High-accuracy semantic search over millions of internal PDFs, contracts, SOPs, and database tables with zero hallucination.
Hybrid Cloud & On-Premises (Local) LLM Deployment
Deploy frontier Cloud LLMs (Google Vertex AI, Azure OpenAI) for heavy multimodal reasoning alongside private On-Premises / Local LLMs (Gemma, Llama) for sensitive, air-gapped data sovereignty.
Enterprise LLM Guardrails & Sovereign Privacy
Zero data leakage guarantees, tenant-isolated vector memory, PII redaction filters, on-premises containment, and strict role-based access controls.
Enterprise Capabilities
- Autonomous multi-step reasoning agents equipped with custom API tools
- Hybrid search RAG pipelines connecting structured ERP data with unstructured documents
- Multi-modal prompt engineering using Google Gemini 1.5/2.0 Pro and OpenAI GPT-4o
- Deterministic evaluation frameworks ensuring high response accuracy and low latency
- Hybrid deployment across Cloud LLMs (Azure OpenAI, Google Vertex AI) and On-Premises (Local) LLMs (Gemma, Llama on local GPU infrastructure)
Hybrid Cloud & On-Premises LLM Execution
Intelligent query router directs sensitive regulated internal queries to zero-leakage On-Premises (Local) LLMs while offloading public or high-throughput tasks to elastic Cloud LLM endpoints.
Tool-Calling Agent Orchestration
Agents interact directly with back-office REST APIs to verify stock, calculate discounts, and trigger workflows safely.
Tenant-Isolated Vector Databases
High-speed semantic search indexed in dedicated vector clusters ensuring no cross-organization data contamination.
Proven Real-World Deployments
Production-grade enterprise solutions, healthcare integrations, and automated pipelines.
Faculty of Medicine Ramathibodi Hospital
Mahidol University
Heterogeneous telemetry and multi-vendor device formats created manual logging overhead and fragmented data access across departments.
Engineered an automated real-time data pipeline and unified telemetry dashboard on Google Cloud Platform, delivering centralized reporting, device interoperability, and fast operational insights.
Dentsu
Dentsu Soken / Dentsu Group (Thailand)
Manual enterprise production planning across complex shipment demands and component inventories created operational bottlenecks and repetitive planning workload.
Engineered on-premises Auto Plan System (APS) Web App powered by Google Cloud Platform (GCP) and Agentic Engineering, generating weekly Base Plans (PSI) from real-time shipment, inventory, and master data.
Frequently Asked Questions
Ready to implement Enterprise AI & Agentic Engineering: Cloud & On-Premises (Local) LLMs?
Schedule an architectural scoping workshop with our lead Microsoft & Google Cloud certified experts.