# PHOENIX Industrial Capacity Intelligence | Asset Health to Revenue

Canonical: https://phoenix-unifiedsystems.com/

PHOENIX connects asset health, maintenance, operations, logistics, local AI and domain knowledge to reliable production capacity, delivery confidence and revenue protection.

PHOENIX Industrial Capacity Intelligence | Asset Health to Revenue PHOENIX AI Server PHOENIX CIP LabSource Why On Prem Architecture PHOENIX UI Asset Sensors Build Intelligence Industries Examples of Excellence Request a Demo TURN ASSET HEALTH INTO RELIABLE CAPACITY. TURN CAPACITY INTO REVENUE CONFIDENCE. PHOENIX connects product demand, machine condition, maintenance, operations, logistics and local AI so teams can see what is limiting production, which work protects throughput, and where capacity or revenue is at risk. See the Deployment Your Data. Your Models. Your Industrial Intelligence. Bring your people, plant data, machine evidence and local AI into one coordinated knowledge experience. Run multiple local LLMs against approved context, retain conversations and expert knowledge on-prem, and let agents select and cross-check the model best suited to each engineering, reporting or coding task. Explore PHOENIX AI Server Deployment PHOENIX CIP LabSource Why On Prem Architecture Industries What PHOENIX Delivers A Secure Industrial Intelligence Environment PHOENIX creates a private industrial intelligence environment that connects physical asset evidence to production demand, maintenance execution and capacity. Local models, AgentSWARMS, CIP, contextual memory, reporting and app-building tools turn that context into decisions that protect throughput and revenue. GPU AI SERVER Enterprise GPU compute, memory and fast local storage sized for private model inference and engineering workloads. CIP PHOENIX CIP Critical Infrastructure Protection — the plant security and access layer controlling what AI can read, which tools it can use and what can leave the site. LAB LABSOURCE The on-prem intelligence workspace where multiple local models, agents, contextual memory, reports, coding tools and domain knowledge work together. DATA PLANT CONNECTIONS Approved connectivity to DCS, PLC, historians, CMMS, ERP, databases, engineering files, Git and APIs. FTE DEPLOYMENT SUPPORT Initial on-site support for configuration, model/RAG setup, agent creation, testing, optimization and user training. Back to Top ↑ Why Put AI On Prem? Keep your industrial intelligence where it belongs. Your competitive advantage is not just a motor waveform. It is the combination of operations, maintenance, engineering knowledge, production context, recipes, work history and machine data. On-prem AI lets you use that combined knowledge without making the public cloud your plant's primary intelligence layer. 01 KEEP DATA LOCAL Sensitive plant information, documents, embeddings, RAG indexes and model workloads can remain inside the customer's own network. 02 BUILD CAPACITY CONTEXT AI can connect asset condition, maintenance, production, engineering, logistics and commercial priorities to understand what actually limits reliable capacity. 03 CONTROL ACCESS Models do not receive unrestricted network access. CIP controls the identities, tools, credentials, sources and actions permitted for each agent. 04 GROW YOUR OWN INTELLIGENCE Domain experts can create reusable agents, Python or HTML apps, reports, analytics and decision logic while the knowledge and history remain on-prem. On-Prem AI Server Deployment The hardware and software arrive as one industrial AI environment. PHOENIX works with the customer to size and deploy the on-prem compute platform required for local model inference, plant data access, RAG, engineering agents, coding and analytics. What the local AI server does Runs multiple private/local LLMs for engineering, analysis, coding and reporting without ongoing external per-token inference charges when local models are used Uses agents to select the model best suited to each task and, where required, hand results to a second model or specialist agent for verification Hosts LabSource, PHOENIX CIP, local RAG indexes, contextual memory and approved agent services Connects through CIP to approved internal databases, historians, DCS/PLC data, CMMS, ERP, files and APIs Retains chats, prompts, retrieved context, model requests, results and expert corrections against the relevant domain, project, asset and requirement Supports local reporting, contextual prompts, AI suggestions and controlled Python / HTML application development Entry-level deployment scope A typical starting deployment combines enterprise GPU compute, ECC memory, mirrored NVMe storage, Linux, containerized inference services, LabSource and PHOENIX CIP. Customer infrastructure: customer provides the approved rack/location, network connection, UPS/power and suitable cooling/environment. Facility electrical work, rack changes and dedicated HVAC/cooling are excluded unless separately scoped. Launch support: LabSource / PHOENIX can provide an on-site FTE for the first month, renewable monthly, to configure the environment, set up models/RAG/agents, optimize performance, test workflows and train users. Back to Top ↑ PHOENIX Asset Health Network High-Resolution Sensing That Gives AI Better Evidence The PHOENIX AI stack is strongest when it has access to high-quality physical data from the assets themselves. PHOENIX combines autonomous sensing, long-range wireless connectivity and high-resolution vibration analytics to create a continuously available asset-health data layer. VIBE High-Resolution Vibration Analytics Capture machine behavior at the level required for real rotating-equipment diagnostics, not just simple threshold alarms. High-resolution time waveform capture FFT analysis across X / Y / Z axes RMS, peak and trend analytics RPM / tachometer correlation Gearmesh, harmonics and sideband analysis AI-assisted fault interpretation and evidence-based recommendations AHN Asset Health Sensor Network Create a persistent digital health layer across critical assets so condition data becomes part of the wider operational and maintenance context. Vibration, pressure, airflow, oil quality, temperature and other condition sensors Autonomous collection across distributed assets Asset / component / sensor hierarchy Local edge collection with PHOENIX integration Condition history available to reliability and AI agents Supports mining, manufacturing, utilities and remote industrial environments BLE Long-Range Bluetooth Extend low-power wireless sensing across industrial facilities without the cost and complexity of wiring every monitored point. Long-range BLE gateways for industrial coverage Multi-gateway visibility and intelligent collection paths RSSI-based gateway selection and fallback logic Supports distributed mobile and fixed sensors Reduced installation effort versus traditional wired networks Practical for hard-to-reach and geographically spread assets Asset Sensors High-quality physical evidence Long-Range BLE Industrial wireless transport PHOENIX CIP Governed access and context LabSource Local LLM reasoning, coding and agents PHOENIX UI Operating and capital decisions Back to Top ↑ From Sensor to Intelligence AI That Understands What the Machine Is Doing — and Why The value is not the sensor alone and it is not the LLM alone. The advantage comes from binding physical asset evidence to maintenance, operations, production and engineering context, then letting local AI reason across the combined picture. 01 · Sense Capture Physical Evidence High-resolution vibration, airflow, pressure, oil quality, temperature, speed and other asset-health signals create a trusted machine-state record. 02 · Context Connect the Plant Reality PHOENIX CIP securely connects approved maintenance, process, production, historian, controls, CMMS, ERP and engineering sources to that asset evidence. 03 · Reason Use Local LLMs LabSource runs local models and specialized agents that can correlate machine behavior with operating state, work history, procedures, drawings and other approved context. 04 · Build Create Your Own Intelligence Engineers can turn recurring analysis into reusable agents, dashboards, calculations, reports, alerts and local applicatio