uptime AI
UptimeAI provides an AI-powered predictive maintenance and plant performance optimization platform for process and manufacturing industries, using machine learning on sensor and operational data to detect equipment anomalies, recommend corrective actions, and improve reliability and efficiency. The company sells its software primarily to large industrial enterprises such as power, oil and gas, chemicals, and manufacturing plants on a subscription and project basis.
- Asset Performance Management
- MLOps & ML Platforms
- Revenue
- $6.0M
- Employees
- 120
- Founded
- 2019
- Headquarters
- Palo Alto, United States of America
What 53 Arbolus experts think of uptime AI
NPS scores are predominantly high, with 70% of experts giving scores of 8 or above, and more than half at 9–10, indicating strong promoter sentiment. Renewal intent is overwhelmingly positive among high and mid spend categories, with only a small minority (less than 15%) expressing uncertainty or intent not to renew, often linked to pilot phases or changing requirements. Customers who have fully implemented the product for more than a year show even stronger advocacy and renewal likelihood. Key expert feedback themes emphasize ROI from downtime reduction, ease of integration, scalable deployment, and strong support. Some caution exists around pilot project transitions and integration complexity in highly heterogeneous environments.Overall Customer Sentiment: Positive
Who reviewed uptime AI
- C-Suite 62% (33)
- Director 25% (13)
- Manager 13% (7)
Employer names and spend open in the full report, along with the other 50 customers.
Everything 53 customers told us about uptime AI.
Employer names, spend, renewal intent and every written answer behind the numbers on this page.
Sentiment
33 Net Promoter Score, from 53 scored reviews- Promoters 24
- Passives 23
- Detractors 6
Cumulative NPS by month
+0 over 3 months- Jul 8
- Aug 8
- Sep 8
Net Promoter Score across 3 reviews, accumulated up to each month. Category median 33 across 3 companies.
Praised
- Growing Coverage and Spend
- Broader Asset Integration
- Enterprise Roll-Out
- Operational Value and Proactivity
Criticised
- Integration and Customization Risk
- Switching Barriers and Competition
- Bundling by Large Vendors
- Integration and Model Tuning Gaps
What customers say
Renewal intent
Plan to renew 71%Plan to renew, by seniority
- 68% 22 answers
- 67% 9 answers
- 86% 7 answers
- 8.3/10 Average score from customers who will renew
- 6.9/10 Average score from undecided customers
- 4/10 Average score from customers not renewing
Top alternatives
Most weighed by uptime AI customers
Report
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