Akira’s agentic AI enables energy firms to enhance reliability, predict failures, innovate faster, and drive sustainable, efficient growth
Automate monitoring and compliance, freeing 30% of workforce time for strategic initiatives
AI streamlines 73% of tasks, redirecting talent to high-value strategic activities
Outpace 76% of competitors with AI adoption that transforms operations into advantages
Unite siloed systems into one secure, compliant network built for energy operations
Build AI-powered workflows that scale effortlessly, cut manual processes, and boost decision-making accuracy across energy operations
Say goodbye to manual grid monitoring, compliance bottlenecks, and siloed platforms. Akira syncs seamlessly with your SCADA systems, energy management software, and asset tracking tools—so your teams can focus on strategy, not screens
Continuously monitor assets and operations to detect issues before failure
AI instantly creates audit reports, ensuring compliance and minimizing errors
AI delivers timely insights for faster, smarter operational energy decisions
Intelligently optimize energy systems for sustainable, compliant, scalable operations
Operations Manager
Energy Analyst
Grid Supervisor
Sustainability Officer
Maintenance Engineer
AI system that monitors grid performance in real-time and automatically balances load distribution to prevent outages and optimize energy flow. Reduces transmission losses by up to 15% while maintaining grid stability during peak demand periods
AI system that analyzes equipment sensor data to predict failures before they occur. Schedules optimal maintenance windows that minimize downtime and extend asset lifespan by up to 40% compared to traditional maintenance schedules
AI system that optimizes workforce deployment based on real-time needs, weather conditions, and priority levels. Reduces response times by 30% while ensuring the right specialists are assigned to each task
AI system that combines historical usage patterns with weather predictions, seasonal trends, and economic indicators to forecast energy demand with 95% accuracy up to 7 days in advance
AI system that provides a unified dashboard of all operational metrics with intelligent alerting and automated incident response recommendations. Reduces critical decision time by 65% during emergency situations
AI system that continuously analyzes global energy markets, price fluctuations, and regulatory changes to provide actionable insights for trading and purchasing decisions. Improves profitability margins by identifying optimal buying/selling windows
AI system that determines the optimal balance of energy sources based on current costs, carbon impact, and reliability metrics. Dynamically adjusts recommendations as conditions change throughout the day
AI system that identifies unusual consumption patterns across customer segments, highlights energy efficiency opportunities, and quantifies potential savings with implementation roadmaps
AI system that models multiple financial scenarios based on different energy production strategies, market conditions, and investment options with detailed risk assessments for each pathway
AI system that monitors competitors' activities, pricing strategies, and market positioning to identify strategic opportunities and potential threats in the evolving energy landscape
AI system that provides real-time visualization of the entire grid with automatic detection of potential issues before they escalate. Enables proactive intervention and reduces outage frequency by 38%
AI system that automatically redistributes energy loads during peak demands while considering equipment limitations, transmission constraints, and priority customer needs. Maintains 99.99% reliability during extreme demand events
AI system that seamlessly integrates and optimizes contributions from solar, wind, and other renewable sources into the main grid. Maximizes renewable utilization while maintaining grid stability
AI system that predicts outage impacts, coordinates restoration efforts, and communicates with affected customers with accurate restoration timelines. Reduces average outage duration by 42%
AI system that continuously optimizes transmission parameters to minimize energy losses while ensuring system reliability and maximizing the lifespan of critical grid components
AI system that tracks carbon emissions across all operations, identifies the highest impact reduction opportunities, and provides actionable implementation plans with ROI calculations
AI system that models optimal scenarios for increasing renewable energy penetration while maintaining reliability and managing costs. Creates phased implementation roadmaps with measurable sustainability metrics
AI system that automatically collects environmental, social, and governance data from across the organization to generate comprehensive reports that meet global reporting standards and investor expectations
AI system that evaluates potential sustainability investments based on environmental impact, financial returns, regulatory alignment, and stakeholder expectations. Provides detailed risk/reward profiles for decision-making
AI system that monitors evolving environmental regulations across all operating regions and proactively identifies compliance gaps with recommended action plans before deadlines approach
AI system that processes equipment sensor data to detect subtle patterns that precede failures. Provides specific maintenance recommendations with priority levels based on criticality and business impact
AI system that plans and analyzes automated drone inspections of remote infrastructure. Automatically identifies deterioration, damage, or safety issues with detailed repair recommendations
AI system that ensures optimal spare parts availability based on failure predictions, criticality, lead times, and carrying costs. Reduces inventory costs by 23% while improving part availability by 15%
AI system that creates optimal maintenance schedules considering equipment health, resource availability, weather conditions, and operational impact. Increases maintenance efficiency by 28%
AI system that captures expert knowledge and past maintenance solutions. Provides technicians with equipment-specific repair guidance and troubleshooting support based on historical success patterns
AI-driven anomaly detection for defect prevention
Reduce downtime with early failure detection
Improve efficiency with AI-powered analytics
Smarter, AI-driven industrial automation
AI-driven cost reduction strategies
AI-driven anomaly detection for defect prevention
Reduce downtime with early failure detection
Improve efficiency with AI-powered analytics
Smarter, AI-driven industrial automation
AI-driven cost reduction strategies
AI agents are Digital assistants that streamline complex tasks, process real-time data, and enhance decision-making while effortlessly integrating into existing workflows
Identify potential failures and respond to disruptions to prevent outages in real-time.
Real-time Monitoring: Continuously track grid performance to detect anomalies as they occur
Pattern Recognition: Use AI to flag unusual equipment behaviors and high-risk conditions instantly
Analyze generation mix, demand patterns, and operational efficiency through comprehensive data analysis.
Multi-Dimensional Analysis: Assess renewable integration, demand fluctuations, and operational efficiency using structured and unstructured data
Proactive Resource Allocation: Leverage predictive models to optimize energy distribution and minimize waste
Implement AI-driven systems to handle customer queries and energy management requests autonomously.
24/7 Support: Deploy virtual agents to resolve queries in real-time, anytime
Operational Efficiency: Reduce manual workload and improve first-contact resolution rates
Analyze operations and emissions to ensure regulatory compliance and reduce penalties.
Regulatory Checks: Continuously monitor data and workflows for environmental and safety adherence
Risk Reduction: Identify non-compliant activities early to prevent violations and fines
Identify potential failures and respond to disruptions to prevent outages in real-time
Analyze generation mix, demand patterns, and operational efficiency through comprehensive data analysis
Implement AI-driven systems to handle customer queries and energy management requests autonomously
Analyze operations and emissions to ensure regulatory compliance and reduce penalties