Modular Analytics and Intelligence Toolkit

MAIT unifies real-time monitoring, data storage, analytics, and AI for your fleet.

The Modular Analytics & Intelligence Toolkit collects edge telemetry, stores it in your Database, enriches it with Local Statistical Analysis, AI-driven diagnostics, and delivers dashboards that crews and fleet managers actually use.

Installations Marine & industrial sites Built from field deployments on vessels and standby power systems.
Data cadence Modbus polling Edge collectors normalize Modbus data, track baselines, and stream to Database.
Intelligence PowertrainAgent AI Predictive diagnostics, anomaly detection, baseline analysis and narrative reports.

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.

Real-time operations

Live dashboards made for generator crews

Instantly see RPM, voltage, load, fuel, alarms, and environmentals. Switch between generators, compare values, and view status from any device on your network.

Analytics & trends

Historical context without the spreadsheet work

Database stores months of history. Trends tab overlays seasons, run hours, and load bands so maintenance teams can plan instead of react.

AI diagnostics

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.

Flexible deployment

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.

Data Collector

Python Modbus TCP poller with retry logic, unit conversion, and logging.

MAIT Backend

FastAPI service that serves dashboards, aggregates metrics, manages alerts, and brokers AI requests.

MAIT Front

React dashboard with tabs for live monitoring, historical trends, baseline, AI reports, console logs, and maintenance views.

PowertrainAgent

AI analysis engine with memory, baseline modeling, and LLM 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.

Step 01 Collect & clean

Hardware gateway bridges RS485 to TCP. MAIT poller validates registers, normalizes units, and stores clean streams in your Database.

Step 02 Analyze & learn

The backend applies thresholds, cross-checks trends & runs local analysis, and can optionally send snapshots to the PowertrainAgent AI service for deeper diagnostics.

Step 03 Visualize & act

Dashboards, notifications, and daily summaries keep engineers informed.

Deployment options that grow with your program

Start where you are and add capabilities as operations mature.

Self-hosted Suite
  • 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
Managed Analytics
  • 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
Community Edition
  • 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

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.tech