MAIT unifies real-time monitoring, analytics, and AI for DecisionMaker3500 fleets.
The Modular Analytics & Intelligence Toolkit collects edge telemetry, stores it in your InfluxDB, enriches it with AI-driven diagnostics, and delivers dashboards that crews and fleet managers actually use.
What MAIT delivers out of the box.
MAIT is an end-to-end stack that starts at the Modbus registers and ends with actionable insights. Each component is modular, so you can adopt the full suite or integrate the pieces you need most.
Live dashboards made for generator crews
Instantly see RPM, voltage, load, fuel, alarms, and environmentals. Switch between generators, compare port and starboard, and view status from any device on your network.
Historical context without the spreadsheet work
InfluxDB stores months of history. Trends tab overlays seasons, run hours, and load bands so maintenance teams can plan instead of react.
PowertrainAgent finds issues before alarms trip
Machine intelligence reviews every run, correlates subsystems, and delivers plain-language reports with recommended actions for engineers and supervisors.
Self-hosted, managed, or community edition
Run everything on your hardware, tap into the hosted gateway for premium analytics, or start with the community release to evaluate the workflow.
Core modules that make up MAIT.
Each module can stand alone, but together they form a comprehensive generator intelligence platform.
Python Modbus TCP poller with retry logic, unit conversion, and logging tailored to DecisionMaker3500 controllers.
FastAPI service that serves dashboards, aggregates metrics, manages alerts, and brokers AI requests.
React dashboard with tabs for live monitoring, historical trends, AI reports, console logs, and maintenance views.
AI analysis engine with memory, baseline modeling, and GPT-4 integration available via hosted gateway or licensed on-prem package.
Data journey from generator to decision.
MAIT respects your network boundaries while giving stakeholders visibility from the engine room to the boardroom.
Moxa NPort gateway bridges RS485 to TCP. MAIT poller validates registers, normalizes units, and stores clean streams in InfluxDB.
The backend applies thresholds, cross-checks trends, and can optionally send snapshots to the PowertrainAgent AI service for deeper diagnostics.
Dashboards, notifications, and daily summaries keep engineers informed. Export reports for compliance or share with maintenance partners.
See MAIT in action.
Snapshots from live deployments monitoring sea-going twin generators and standby power systems.
Deployment options that grow with your program.
Start where you are and add capabilities as operations mature.
- Docker-compose stack for poller, backend, InfluxDB, and MAIT Front
- Run entirely on your hardware with your network policies
- Perfect for operators with in-house IT or OT support
- Optional upgrade to connect with our remote AI services
- Keep data onsite while MAIT Services manage PowertrainAgent intelligence
- Health monitoring, alert tuning, and report delivery handled by experts
- Includes onboarding, training, and access to our support engineers
- Usage-based billing aligned to generator count
- Open-source release of poller, backend, and dashboard
- Ideal for labs, proof-of-concept, or DIY integrators
- Same architecture; plug in hosted analytics when ready
- Active roadmap shaped by real-world deployments
Trusted by crews who keep power running.
"Before MAIT, our trend reviews were manual. Now the dashboard flags exactly when cylinder temps deviate and the AI summary tells us what changed since last voyage."
"Maintenance meetings start with MAIT. The reports cover alarms, run hours, and recommended checks. We rolled it out across three standby generators in a weekend."
Ready to explore MAIT for your generators?
Share a few details and we will follow up with the right package, timeline, and pricing guidance.
Prefer direct contact? Email ys@mait.tool.