UptimeAI

What UptimeAI does

UptimeAI provides AI reasoning agents that emulate human experts to deliver real-time, expert-level guidance for industrial operations. The platform connects operational data to improve reliability, maintenance, performance, and safety in heavy process industries. It goes beyond traditional dashboards and alerts by offering explainable recommendations that teams can trust and act on, aiming to reduce downtime, improve maintenance economics, and drive measurable operational impact. UptimeAI's architecture is AI-native, software-only, and built for modern industrial operations, providing cross-domain context to connect data, symptoms, root causes, recommendations, and actions.

Products

• AI Reasoning EngineThe core AI platform that orchestrates multiple expert skills like P&ID interpretation, FMEA, criticality assessment, and trend analysis to solve industrial problems. It provides context-aware, explainable decisions and is designed for rapid deployment and ROI.
• Process Optimization AgentDiagnoses bottlenecks and optimizes performance in real-time by pinpointing sources of performance losses and calculating optimal setpoints against complex business constraints. It aims to maximize throughput, yield, and efficiency.
• Root Cause AgentHelps prevent failures and understand their cause by identifying issues early and outlining solutions across complex data systems. It delivers cross-functional diagnoses with optimal recommended actions, reducing investigation cycle times and repeat failures. It uses FMEAs, domain-specific skills, and evidence from time-series data, work orders, and manuals.
• Maintenance Optimization AgentRe-evaluates asset criticality and dynamically adjusts maintenance plans. It continuously optimizes PM strategies based on actual operating conditions, production schedules, and asset risk, integrating recommendations into CMMS/EAM systems.
• HAZOP Analysis AgentDigitizes P&IDs, auto-generates nodes, and systematically analyzes deviations using site standards and incident history. It transforms static HAZOPs into continuously updated, traceable safety intelligence, reducing prep time and increasing refresh cycles.
• Agentic Operations FoundationA foundational platform that reduces decision latency and scales expert decision-making across plants.
• Rooty AIUsed for previously manual edits and to improve follow-through on HAZOP recommendations.

Key capabilities

• AI reasoning agents that think like SMEs
• Real-time, expert-level guidance
• Explainable recommendations
• 90%+ pilot-to-production success rates
• Context-aware decisions
• Decision-ready on day one
• Orchestrates multiple expert skills (P&ID interpretation, FMEA, criticality assessment, trend analysis)
• Grounded in operational context
• User-controllable setups
• Built-in domain-based workflows
• Cross-domain context (data -> symptoms -> root cause -> recommendations -> action)
• Continuously improving reasoning engine
• System-wide diagnoses and optimal recommendations
• CMMS/EAM interoperability
• Automated brainstorming for HAZOPs
• Human-in-the-loop QA/QC for HAZOPs
• Unified "Super P&ID" and connectivity model

Use cases

• Diagnose bottlenecks and optimize performance in real-time
• Re-evaluate asset criticality and dynamically adjust maintenance plans
• Prevent failures and understand their cause
• Eliminate static safety blind spots through dynamic HAZOP analysis
• Maximize throughput, yield, and efficiency in process industries
• Manage operational risk with calculated confidence
• Optimize PM strategies dynamically
• Reduce downtime
• Improve maintenance economics
• Drive measurable operational impact
• Avoid compressor repairs (e.g., $5M outage avoided for ammonia producer)
• Eliminate process fouling causing feed pump failures (e.g., $1M+ saved for petroleum refiner)
• Avoid thrust bearing repairs and production loss (e.g., $500k avoided at coal power plant)
• Reduce decision latency in upstream gas processing facilities
• Identify CM & PM cost savings in upstream oil & gas
• Reduce SME time burden for HAZOP analysis in chemical manufacturing
• Prevent bearing failure due to pump misalignment
• Identify CM & PM cost savings in coal power plants
• Prevent coal mill bag house failure in cement manufacturing
• Prevent kiln main drive motor issues in cement operations
• Prevent NDE bearing failure in wind turbines
• Prevent gearbox failure in Vertical Roller Mill Unit in cement operations
• Improve asset reliability and performance in thermal power plants
• Prevent separator failure in cement plants
• Maximize production and energy efficiency in oil & gas
• Manage risk in oil & gas operations
• Optimize PM strategies in oil & gas
• Avoid efficiency losses and surge risk in gas plants
• Avoid compressor trips in oil & gas
• Optimize reactor performance and eliminate batch quality variability in chemical manufacturing
• Manage process risk in chemical manufacturing
• Optimize PM strategies in chemical manufacturing
• Address unexplainable increase in steam demand in methanol production
• Prevent process fouling in petrochemical plants
• Prevent compressor repairs in fertilizer production

AI approach

UptimeAI uses AI reasoning agents that emulate human experts to analyze operational data and provide real-time, expert-level guidance for reliability, maintenance, performance, and safety in asset-intensive industries. Their agents go beyond dashboards and alerts, offering explainable recommendations grounded in operational context. They claim to be an AI-native, software-only platform built for modern industrial operations, not constrained by legacy vendor stacks or bolt-on AI.

Tech named: Machine Learning, Artificial Intelligence, Predictive Analytics, Deep Learning, Data Science, AI reasoning agents, AI Reasoning Engine, Agentic Operations Foundation, Rooty AI, Generative AI

Industries served

• Heavy process industries
• Oil & Gas
• Power Generation
• Chemicals
• Cement
• Process Industries
• Asset-intensive industries
• Energy industry
• Manufacturing

What it says sets it apart

• AI reasoning agents think like SMEs, going beyond dashboards and alerts
• Focus on decision intelligence rather than just data or detection
• Context-aware decisions grounded in operational context
• Explainable recommendations that teams can trust and act on
• High pilot-to-production success rates (90%+)
• Decision-ready on day one, delivering faster ROI
• AI-native, software-only platform, not constrained by legacy vendor stacks or bolt-on AI
• Orchestrates multiple expert skills (P&ID interpretation, FMEA, criticality assessment, trend analysis)
• Continuously adapts based on feedback
• Built-in domain-based workflows
• Reduces investigation cycle times from weeks to hours for root cause analysis
• Significantly reduces repeat failures by identifying true root causes
• Provides operator-trusted recommendations with traceable evidence and transparent reasoning
• Continuously and automatically optimizes PM intervals based on real operating and failure data
• Calculates clear ROI for all PM interval change recommendations
• Transforms static HAZOPs into living safety systems
• Reduces HAZOP draft prep time from months to days
• Enables more frequent HAZOP refresh/revalidation cycles
• Surfaces more deviation scenarios for review per node than manual methods
• Faster recommendation closure and follow-through for HAZOP outputs
• Team with 200+ years of combined operational experience

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.