Know what's going to break before it breaks.
PAMKIT's AI analyzes every appliance in your home, calculates failure probabilities, and tells you exactly what to budget for.
What gets in the way
- Surprise $8,000 HVAC replacement you didn't budget for
- No idea how old half your appliances are or when they'll fail
- Reactive repairs cost 2-5x more than planned replacements
- Selling a home with no maintenance history reduces value
How Pamkit helps
PAMKIT calculates a health score for every appliance based on age, condition, maintenance history, and industry lifespan data. It predicts failure probabilities and recommends monthly savings amounts so you're never caught off guard.
What you get
- Health Score (0-100): Each appliance gets a health score based on age vs. expected lifespan, condition, maintenance history, and warranty status.
- Failure Predictions: 1-year and 3-year failure probability for every appliance. Know which ones are at risk.
- Budget Planner: AI suggests monthly savings amounts: "Save $75/month to replace your water heater by March 2028."
- Risk Dashboard: Portfolio-wide risk view: how many assets are low, medium, high, or critical risk.
- Smart Recommendations: Prioritized action items: "Service your HVAC before winter" or "Your dishwasher is more expensive to repair than replace."
- Replacement Timeline: Visual timeline showing when each major appliance will likely need replacement.
Benefits
- Budget for replacements instead of emergency spending
- Extend appliance lifespans with proactive maintenance
- Complete maintenance documentation increases home value
- Know your home's true condition before selling or refinancing
- Prioritize spending on the highest-risk items first
- Sleep better knowing what's coming and when
Common questions
How accurate are the failure predictions?
PAMKIT uses industry-standard lifespan data (e.g., HVAC 15-20 years, water heaters 8-12 years) combined with your appliance's specific age, condition, and maintenance history. While no prediction is perfect, the system identifies high-risk items well in advance.
What data does PAMKIT use?
Your appliance's brand, model, purchase date, condition rating, maintenance history, and warranty status — cross-referenced against industry lifespan averages and manufacturer specifications.
How are budget suggestions calculated?
Based on the estimated replacement cost, predicted failure date, and current date. If your water heater ($1,200 replacement) has 16 months of expected life remaining, PAMKIT suggests saving ~$75/month.
Can I use this when selling my home?
Absolutely. A documented estate health report with maintenance records can increase buyer confidence and justify your asking price. Many sellers include it in their disclosure package.