What Predict Hub is built to do
Operate predictive-maintenance fleet risk, alerts, work orders, model baselines, and an LLM chat workspace.
Predict Hub
Predictive-maintenance fleet risk, alerts, work orders, baselines, models, and LLM chat operations.
Data & AI
FAIS Hub Product
Purpose and problem
A focused product for a defined operating job.
Operate predictive-maintenance fleet risk, alerts, work orders, model baselines, and an LLM chat workspace.
The operational gap it resolves
Reliability teams need sensor evidence, prediction results, notification state, maintenance action, and model performance connected in one reviewable workflow.
Core capabilities
Capabilities designed around the product boundary.
PDM fleet risk
Alerts and notifications
Work orders and CMMS sync
LLM chat
Use cases
Where teams put Predict Hub to work.
Designed for: Process engineers, reliability teams, and AI application teams
Register equipment and sensors, ingest vibration windows and feature snapshots, and record predictions
Train baselines, activate models, review fleet risk, and acknowledge or resolve alerts
Create work orders, capture maintenance feedback, track CMMS synchronization, and use streaming AI chat
Platforms, protocols, and technology
Built for the environments that industrial teams already operate.
The exact deployment profile is selected during discovery and validated against the target equipment, network, security, and lifecycle requirements.
WebRESTSignalRgRPCSQLiteOllama-compatible LLM backendBlazor ServerASP.NET CoreOllama-compatible backend.NET 10
Platforms, protocols, and technology
Protocols and technology ecosystem
Choose the adapters and services for your equipment and deployment profile.
Databases (1)
Web and communication (4)
Logos identify their respective technologies or vendors. Trademarks belong to their owners; no endorsement or certification is implied.
Product composition
A clear architecture from source to operational outcome.
- 01
Inputs and boundary
PDM domain API and durable equipment, sensor, model, alert, and work-order stores
- 02
Core product services
LLM backend, model-browser, chat-session, and streaming endpoints
- 03
Experience and outcomes
Blazor reliability dashboard with real-time status gateways
Product advantages
Why teams choose the FAIS product approach.
Connected prediction-to-maintenance workflow
Traceable alert disposition
Visible model and ingestion health
Plan the next step
Evaluate Predict Hub for your operation.
Share the equipment, workflow, data, security, and deployment constraints. FAIS will help define a focused discovery or pilot path.