MAIT unifies real-time monitoring, data storage, analytics, and AI.
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.
See MAIT in action
Snapshots from live deployments.
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. Optimized for Kohler® DecisionMaker® controllers, with additional controller support in progress.
FastAPI service that serves dashboards, aggregates metrics, manages alerts, and brokers AI requests.
React dashboard with tabs for live monitoring, historical trends, baseline, AI reports, console logs, and maintenance views.
Long-horizon time-series storage that retains every polled datapoint for analysis, trends, and comparisons across runs.
Runs on your hardware with statistical analysis, baseline modeling, and drift detection to surface issues without leaving your network.
AI-enabled mode with long-term memory and readable reports that account for trends and baselines—available via hosted gateway or licensed on-prem package.
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.
Live dashboards made for generator crews
Instantly see RPM, voltage, load, fuel, alarms, and environmentals. Compare values, and view status from any device on your network.
Historical context without the spreadsheet work
Database stores a deep history, and every polled datapoint stays reachable for insight. Trends surfaces seasons, run hours, and load bands so maintenance teams can plan instead of react.
PowertrainAgent finds issues before alarms trip
Runs in local statistical analysis mode or AI-enabled mode. It reviews each run, correlates subsystems, and produces readable reports that account for long-term trends, baseline drift, and recommended actions.
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.
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 the support engineers
- Usage-based billing tied to generator count when AI gateway is enabled
- 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 learn more about MAIT?
Prefer direct contact? Email ys@mait.tech