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UptimeAI Inc. Tech Stack

AI reasoning agents for industrial operations and predictive maintenance

Software Development San Francisco, California 51–200 employees Founded 2019 Privately Held
uptimeai.com LinkedIn

UptimeAI builds AI reasoning agents that replicate subject-matter expertise for heavy process industries—oil & gas, power generation, chemicals, cement. The stack is cloud-native (Azure, AWS, Kubernetes, Prometheus, Grafana, Datadog) with SCADA and CMMS integrations, suggesting deep operational-technology coupling. Active hiring across engineering, sales, and data teams—with seniority skewed toward senior and mid-level roles—indicates they're scaling both product and customer delivery simultaneously, which aligns with their stated focus on reducing deployment time and ensuring on-time implementation projects.

Tech Stack 46 technologies

Core StackAWS Terraform Pulumi CloudFormation GitLab CI/CD Docker Kubernetes Prometheus Grafana Datadog Elasticsearch Python ClickUp Monday.com Asana Smartsheet Salesforce HubSpot Figma Adobe Photoshop Azure Bicep Azure Pipelines AWS EKS Azure Kubernetes Service Azure Monitor Bash PowerShell SCADA CMMS+15 more

What UptimeAI Inc. Is Building

◆Challenges

  • Reducing downtime for industrial clients
  • Automating repetitive tasks
  • Acquiring new enterprise clients
  • Global expansion
  • Increasing adoption and value capture
  • Process improvements for greater efficiency
  • Reducing deployment time
  • Delivering implementation projects on time
  • Managing cross-functional dependencies
  • Ensuring successful go-live

▲Active Projects

  • Automation of model-building workflow
  • Customer implementation projects
  • Model deployment into customer environments
  • Operational workshops
  • Value stories generation
  • Improve project workflows and templates
  • Developing and launching b2b saas products for industrial environments
  • Predictive maintenance ai models
  • Hybrid first-principles ml modeling
  • Low-latency inference pipeline deployment

Hiring Activity

Accelerating10 roles · 10 in 30d

Department

Engineering
4
Sales
3
Data
2
Support
2
Ops
1

Seniority

Senior
5
Mid
4
Manager
2
Lead
1
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About UptimeAI Inc.

UptimeAI addresses a structural problem in industrial operations: as experienced technicians retire and plants grow more complex, decision-making capacity becomes the bottleneck, not data. The company's reasoning agents synthesize operational data and expert knowledge to deliver real-time, explainable maintenance and reliability guidance. Founded in 2019, the company operates from San Francisco with distributed hiring across the US, India, and the UAE. Their customer base spans global leaders in heavy process industries; they report 90%+ pilot-to-production conversion rates. Core workflows center on model deployment, customer implementation, and operational workshops—moving beyond dashboards into prescriptive decision support.

HeadquartersSan Francisco, California
Company Size51–200 employees
Founded2019
Hiring MarketsUnited States, India, United Arab Emirates

Frequently Asked Questions

What is UptimeAI's technology stack?

UptimeAI uses Azure and AWS for cloud infrastructure, Kubernetes for orchestration, Prometheus and Grafana for monitoring, and Datadog for observability. They integrate with industrial systems via SCADA and CMMS. CI/CD runs on GitLab and Azure Pipelines; core applications are Python-based.

What industries does UptimeAI serve?

UptimeAI serves heavy process industries including oil & gas, power generation, chemicals, and cement. Their AI agents are built specifically for operational decision-making and predictive maintenance in these sectors.

How this profile is built

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.