About SWAPP

The Missing Middle Tier Between Historian and Computerized Maintenance Management System (CMMS)

SWAPP is the Fleet Reliability & Predictive Maintenance Platform that turns operational data into predictable financial outcomes

Vision

Power plants become autonomous financial assets

SWAPP occupies the critical gap between Operational Technology (OT) historians and enterprise CMMS. Where historians collect data and CMMS manages work orders, SWAPP provides the intelligence layer: detecting anomalies, classifying failure modes, performing Root Cause Analysis (RCA), creating cases, and measuring financial impact.

Closed-loop reliability from detection to Dynamics 365 CMMS execution with financial tracking

Multi-technology fleet coverage across Thermal, Hydro, Wind, Solar, and Pumped-Storage Hydro (PSH)

AI embedded in every workflow from natural language queries to autonomous monitoring agents

Microsoft ecosystem native with Dynamics 365, Dataverse, Power BI, and Microsoft Entra ID

1 Historian
2 SWAPP Intelligence
3 CMMS Execution
4 Financial Impact
Stakeholders

Value for Every Role

SWAPP solves specific problems for each stakeholder in fleet operations

Reliability Engineers

Primary Users

Machine Learning (ML)-assisted anomaly detection replaces manual data trawling. Pattern library and similarity search accelerate RCA from days to hours.

Root Cause Analysis (RCA) time reduced by 60-80%

ROC (Remote Operations Center) Teams

Remote Operations Center

Real-time fleet-wide alerting with prioritized action lists. Cross-plant anomaly correlation and automated escalation workflows.

Fleet visibility in single pane

CMMS Teams

Maintenance Planning

Predictive cases flow directly into Dynamics 365 work orders. Condition-based scheduling replaces calendar-based maintenance.

Auto-generated work requests

Data Scientists

Analytics & ML

pipolars SDK + pifastapi provide governed access to fleet data with industrial transforms. Feature store and model registry for production ML.

From notebook to production in days

Finance & Management

Business Impact

Every predictive action is financially quantified. Avoided outage costs, Capital Expenditure (CAPEX) deferral, and revenue uplift tracked in Power BI (Business Intelligence) dashboards.

Financial impact per action

Executives

Strategic Decision Making

Board-ready reliability dashboards, EBITDA (Earnings Before Interest, Taxes, Depreciation & Amortization) impact tracking, and investor-grade reporting for Independent Power Producer (IPP) finance and M&A readiness.

EBITDA (Earnings Before Interest, Taxes, Depreciation & Amortization) volatility reduction
Positioning

Why SWAPP Is Different

SWAPP fills the category gap between analytics tools, OEM APM, and CMMS

Closed-Loop Execution

Unlike analytics-only tools (Seeq, TrendMiner), SWAPP connects detection to Computerized Maintenance Management System (CMMS) work orders and tracks resolution outcomes.

Multi-Technology

Unlike Original Equipment Manufacturer (OEM) APM (GE APM, Siemens), SWAPP covers all technologies: Thermal, Hydro, Wind, Solar, PSH — regardless of OEM vendor.

Financial Quantification

Every detection is financially valued. Avoided outage cost, CAPEX deferral, and revenue uplift calculated per action.

Fleet-Wide Intelligence

Cross-plant, cross-OEM, cross-technology benchmarking. Pattern library grows with every resolved case across the fleet.

Microsoft Ecosystem Native

Built on Azure with Dynamics 365, Dataverse, Power BI, and Microsoft Entra ID. No additional ecosystem to maintain.

Data Moat

Labeling corpus, CMMS execution results, fleet benchmarks, and closed-loop ML create compounding competitive advantage.

Operating Model

Daily Operating Rhythm

6 operating domains from detection to organizational learning

Detection
Classification
Assessment
Execution
Financialization
Learning

Every resolved case feeds back into detection models, creating a self-improving reliability system

Values

Guiding Principles

The core values that drive platform development

API Contracts First

Everything observable with logs, metrics, and traces. APIs are products with clear contracts and SLAs.

Extension-First UI

Shared navigation, authentication, and data layer. Modules plug in seamlessly without platform changes.

Safety First

AI recommends; write-actions are gated and auditable. Human oversight on all critical operations.

Dual Path

Improve PI now, build open pipeline for tomorrow. Strategic flexibility without disrupting operations.

Metrics

5 KPI Families

How we measure fleet reliability transformation success

Reliability

  • EAF (Equivalent Availability Factor)
  • FOR (Forced Outage Rate)
  • MTBF (Mean Time Between Failures) / MTTR (Mean Time to Repair)
  • Unplanned derating frequency

Financial Impact

  • Avoided outage cost (TL/EUR)
  • CAPEX deferral value
  • OPEX (Operating Expenditure) savings per plant
  • ROI (Return on Investment) per predictive action

Adoption

  • WAU (Weekly Active Users) / MAU (Monthly Active Users) for SWAPP modules
  • Plants onboarded
  • Saved views & shared analyses
  • CMMS (Computerized Maintenance Management System) work requests generated

AI Quality

  • Detection precision / recall
  • False positive rate
  • Agent recommendation acceptance
  • Pattern library coverage

Platform Health

  • API (Application Programming Interface) uptime (target: 99.9%)
  • p95 (95th percentile) latency
  • Data freshness
  • Model training cadence

See the Platform in Action

Explore use cases, review the business case, or dive into the technical architecture