Multiple local LLMs, AgentSWARMS, contextual memory, reporting and coding tools inside the customer environment — built to turn plant context into capacity intelligence.
LabSource OnPrem is the contextual AI environment where PHOENIX brings together product demand, asset health, maintenance, operations, logistics, engineering history and prior AI work around the question being asked. It gives reliability, operations, maintenance, planning and engineering teams a controlled workspace for analysis, reporting, coding and decision support focused on protecting reliable capacity.
LabSource OnPrem is not just a chatbot. It can reason across machine evidence and the wider plant context.
PHOENIX CIP governs what agents can access. LabSource OnPrem selects the right local model, assembles the relevant context, retains the reasoning history, verifies important results and turns that intelligence into explanations, reports, code, applications and capacity decisions.
Instead of sending an isolated prompt to one LLM, LabSource OnPrem organizes the work around the domain, project, asset, requirement and history, retrieves the approved data that matters, and then uses the appropriate model or agent for the task.
What is scheduled, what throughput is required, which product or grade is running, and where capacity is constrained.
Condition evidence, operating history and reliability risk from PHOENIX and other approved sources.
Planned maintenance, work orders, backlog, inspections, repair history and recommended work.
Parts, inventory, labor, contractors, access, outage windows and execution dependencies.
Requirements, documents, code, calculations, prior decisions, conversations and previous AI work.
Use the model or specialist agent best suited to the task, then route critical conclusions to an independent model or agent for verification.
Provides a controlled platform for building new internal AI applications, agents and modules — allowing domain experts to embed their real-world experience, operational insight and tribal knowledge into reusable intelligence that can be applied across the organization.
Teams can create Python / HTML applications, agents, drag-and-drop reports, dashboards, calculations and workflows while retaining the production requirement, asset context, expert knowledge, prior conversations and approved plant data around the work.
