Stop Guessing. Start Simulating Your Maintenance Strategy.

Industrial companies lose billions to unplanned downtime because multi-million dollar maintenance decisions are based on guesswork. Traditional tools simulate performance but fail to answer: "What is the true financial risk and lifecycle cost of our current maintenance strategy?"

Ratotecki's Jingongo platform is a Financial Optimization Engine for Asset Management that transforms engineering designs into powerful, data-driven forecasts. By simulating thousands of operational lifetimes, we help you move from reactive repairs to a financially optimized maintenance program.

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Jingongo Platform

Asset Maintenance ROI Analysis

FPSO-001 • Comprehensive Analysis

Projected Savings
$8.2M
↑ 42% vs current
Optimal Strategy
6-Month
Preventive cycle
Numbers are estimates only.
Identified Weakest Links:
Circuit Breaker CB-1273% failure risk
30-50%
Reduction in maintenance costs through optimized strategies
90%
Of failures caused by 10% of components - We find the weakest link
Data-Driven
Quantified ROI on every maintenance decision
Lifecycle Cost Forecasting
De-risk multi-million dollar capital projects

Industries We Transform

De-risk maintenance budgets and maximize asset ROI across mission-critical sectors

Numbers are estimates only.

Oil & Gas (FPSO)
Typical savings: $5-10M per asset/year

Oil & Gas (FPSO)

Prevent multi-million dollar downtime on critical offshore assets. Quantify ROI of preventive vs reactive maintenance strategies and optimize inspection schedules to de-risk capital-intensive operations.

The Multi-Million Dollar Problem

Traditional maintenance strategies are forcing companies to make critical decisions worth millions based on guesswork.

Replace Too Early = Budget Waste

Generic preventive schedules lead to unnecessary component replacements, draining maintenance budgets on equipment that still has useful life remaining.

Replace Too Late = Catastrophic Failure

Reactive maintenance strategies wait for failures to happen, resulting in unplanned downtime that costs millions and puts safety at risk.

The Question Traditional Tools Can't Answer:

"What is the true financial risk and lifecycle cost of our current maintenance strategy?"

✓ We Have The Answer

Ratotecki's Jingongo platform transforms maintenance decisions from costly guesswork into data-driven financial optimization.

Financial Optimization Capabilities

Transform maintenance decisions from costly guesswork into data-driven financial optimization. Our platform links engineering choices directly to business results.

Financial ROI Quantification

Quantify and compare the ROI of different maintenance strategies (run-to-failure vs. preventive schedules) before implementation.

Weakest Link Identification

Identify the critical components driving your downtime and operational costs—focus on the 10% causing 90% of failures.

Lifecycle Cost Forecasting

De-risk capital projects by forecasting the long-term operational costs and availability of equipment before purchase.

Maintenance Budget Optimization

Focus maintenance resources where they matter most—optimize inspection and replacement schedules based on data-driven insights.

Advanced Predictive Analytics

Move from guesswork to data-driven forecasting with comprehensive scenario analysis for your critical assets.

Asset Management Decision Platform

Link engineering choices directly to business results. We're not just a simulation tool—we're a financial decision-making platform.

We're Not Just Another Simulation Tool

We're a decision-making platform that links engineering choices directly to business results for asset management.

Traditional Approach vs Jingongo Platform

Guesswork & Generic Schedules
Data-Driven Forecasting
Reactive Maintenance
Predictive & Optimized
Unknown Financial Risk
Quantified ROI & Lifecycle Costs
Replace Too Early or Too Late
Optimal Replacement Timing
Hidden Weakest Links
Identify Critical Components

Transform Costly Guesswork into Financial Optimization

The Problem: Maintenance Decisions Worth Millions Based on Guesswork

Unplanned downtime on critical assets like FPSOs, substations, or manufacturing plants isn't just inconvenient—it's a multi-million dollar crisis. Yet most maintenance strategies rely on generic schedules or reactive guesswork. Replacing components too early wastes budget. Replacing them too late causes catastrophic failures.

The Solution: Data-Driven Financial Forecasting

Jingongo is a cloud-native digital twin and simulation engine that transforms engineering designs into powerful, predictive financial forecasts. By simulating thousands of possible operational lifetimes for your critical assets, we answer the question traditional tools can't: "What is the true financial risk and lifecycle cost of our current maintenance strategy?"

Stop flying blind. De-risk your maintenance budget, maximize asset availability, and move from reactive repairs to a financially optimized maintenance program.

Asset ManagementFinancial OptimizationDigital TwinsROI QuantificationData-Driven Forecasting

Ready to Quantify Your Maintenance ROI?

Stop making multi-million dollar maintenance decisions based on guesswork. Let's show you how Jingongo transforms your asset management strategy into data-driven financial optimization.

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