AI reasoning agents for reliability and maintenance in heavy industry
UptimeAI builds AI agents that turn industrial operational data into expert-level maintenance and reliability guidance. Its stack pairs SCADA and TimescaleDB time-series storage with Python ML tooling, running across both AWS and Azure with four separate IaC tools, a sign it deploys into customer-chosen cloud environments. Accelerating, senior-heavy hiring across engineering, sales and support, plus UAE recruiting, points to scaling deployments and Middle East expansion.
Notable leadership hires: Customer Success Lead
UptimeAI Inc. is a privately held San Francisco company founded in 2019 with 51–200 employees. It develops AI reasoning software that connects operational data to recommendations for reliability, maintenance, performance and safety in heavy process industries such as oil and gas, power generation, chemicals and cement. Its work spans predictive maintenance, process optimization and hybrid first-principles ML models deployed into customer environments. The company recruits in the United States and the United Arab Emirates and runs customer implementation projects alongside its software platform.
UptimeAI uses Python with Pandas, Polars and scikit-learn, PostgreSQL and TimescaleDB, SCADA integrations, AWS and Azure, Kubernetes (EKS and AKS), Terraform, Pulumi, GitLab CI/CD, and Prometheus, Grafana and Datadog.
UptimeAI is headquartered in San Francisco, California, and also hires in the United Arab Emirates.
Yes. Engineering is UptimeAI's largest hiring area, alongside sales, data and support, with hiring velocity accelerating and a strong tilt toward senior roles.
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UptimeAI Inc.'s technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.