Estimate your annual savings across maintenance, quality and energy in under a minute — based on documented industrial benchmarks and your own numbers.
Six quick inputs. Nothing leaves your browser until you ask for the full breakdown.
Enter your work email and we’ll reveal your personalized breakdown across maintenance, quality and energy.
Transparent and deliberately conservative — we use the low end of documented industry ranges.
30% reduction in unplanned downtime. Structured condition-monitoring programs are documented to cut downtime 30–50% and maintenance cost 20–40%.
25% scrap reduction. Correlating hundreds of process variables isolates the few drivers of defects; poor quality typically costs 15–20% of revenue.
15% lower energy cost. Energy-management systems that correlate consumption with output are documented to save 10–30%.
It is a directional estimate from your inputs and conservative, published benchmarks — not a quote. In a 30-minute demo we replace the benchmarks with your own data for a precise figure.
Rough numbers are fine: downtime hours and cost, scrap rate, monthly production value and energy spend. You can refine them later.
No. Jemba is built for plant and process teams and returns ranked, apply-ready recommendations in plain language. Setup takes about 48 hours.
Around 70% of predictive-maintenance projects fail from alarm fatigue. Jemba delivers prioritized decisions, not more alerts.
A 30-minute session with a product specialist. No data scientist required, 48-hour setup.
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