Resources
What we have learned, in the field
Case studies, white papers and use cases from operations running on Avathon, plus company news and where to find us next.
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- Use case: Anticipate and mitigate safety hazards with NLPEffective HSE management programs are not only critical for the health and well-being of employees, but also to ensure productivity and overall performance. Learn how Natural Language Processing (NLP) provides a solution that can extract actionable insights from unstructured data found in incident reports, observation cards, etc., identifying safety risks and minimizing incidents.
- Avathon AI joins the unicorn community at 2025 World Economic Forum annual meeting in DavosAvathon, the provider of the leading AI platform for industrial operations, has joined the World Economic Forum’s Unicorn Community, a designation reserved for private hyper-growth companies at the forefront of disruption and innovation in their industries valued at more than $1 billion USD. Avathon CEO Pervinder Johar will attend the 2025 Annual Meeting taking place at Davos-Klosters from 20-24 January.
- Industrial AI streamlines oil and gas operationsOver the past decade, the oil and gas industry has made major investments in artificial intelligence, identifying a wide range of opportunities for operational improvement as a result.
- How can warfighters use AI to improve military supply chain management?“In today’s rapidly evolving defense manufacturing and operations landscape, maintaining an agile and resilient supply chain is more important than ever. Leveraging cutting-edge artificial intelligence (AI) and machine learning (ML) technology, our team empowers the DoD and Defense Primes to mitigate disruptions by proactively identifying risks and optimizing logistics and supply chain operations.”
- Avathon Industrial AI Platform to maximize efficiency, revenue for Texas battery storage projectsAvathon, provider of an AI platform for industrial operations, has deployed its Industrial AI platform to optimize four projects that collectively represent 730 MW of capacity in a battery energy storage-focused investment strategy at UBS Asset Management. In 2022, UBS Asset Management acquired four Electric Reliability Council of Texas (ERCOT) energy storage projects. The projects, which will become operational in 2024 and early 2025, provide flexibility, responsiveness, and dispatchability to the grid.
- Use case: Maximize solar power production using AI to detect DC field faultsOn large solar sites with thousands of panels, fuses, and strings in a DC array, the task of finding and fixing DC faults becomes especially challenging and costly. An AI-powered solution not only pinpoints where failures have occurred through real-time monitoring and analysis, it also quantifies the resulting energy loss from each occurrence. Learn how.
- Use case: Increase solar energy production with AI-powered soiling detectionSoiling—the natural accumulation of dust, pollen, dirt, bird droppings, and other debris—reduces current global solar power production by at least 3-4% annually, creating multi-billion dollar revenue losses. Learn how Avathon leverages AI to restore photovoltaic performance, extend asset lifespan, and much more.
- Use case: Maximize energy production by using AI to detect solar tracker misalignmentSolar tracking system misalignment leads to hidden energy losses. Current detection methods are imprecise or impractical. Avathon uses machine learning to analyze tracker actuator motor data and inverter DC inputs. Learn more about our AI-powered solution.
- Case study: Optimizing production via AI-powered transparencyIn this case study, learn how a global beverage manufacturer improved plant efficiency across multiple locations with quantified granular performance insights.
- Case study: Accurately accounting energy lossMaximize the value of operation and management contracts with improved monitoring of energy losses. Learn how one company learned to identify sources of their energy loss and implemented a system that conducts maintenance steps with the highest ROI.
- Use case: Automated power curve monitoring for optimal turbine performanceLearn how Avathon helps you identify underperforming turbines more quickly and cost-effectively—so you can maximize profitability. Discover how Avathon’s platform automatically detects performance issues for large numbers of turbines at once, and see why continually monitoring turbine performance with machine learning models is more efficient and accurate.
- Use case: Predicting pitch bearing failure with AIIn this use case, discover how Avathon minimizes costly turbine downtime by predicting pitch bearing failure remotely and accurately. Learn why traditional approaches for evaluating pitch-bearing wear and tear are inefficient, how AI optimizes repair scheduling, and more.
- Case study: Identifying yaw misalignmentLearn how Avathon’s AI platform detects performance-impacting yaw misalignments with high accuracy—and faster than traditional methods. Discover why our machine learning-based solution is not only a much faster method, but a more accurate one.
- Case study: Predict rare failures in hydro turbinesUtility companies that operate hydro turbines have a vested interest in performing regular maintenance to decrease asset downtime and prevent unexpected failures or catastrophic events. In this case study, learn how one leading hydropower utility company applied machine learning to better analyze problematic turbine behavior and predict uncommon failures.
- Use case: Improving grid reliability and resiliency using machine learningOptimize actionable insights that drive operational efficiency on the grid with an automated machine learning platform. In this use case, analyze physical operations in real time and identify areas of improvement, uncover equipment, utilization, and capacity issues, and more.
- Industrial AI boosts CPG sustainabilityFew industries adapt as quickly to consumer wants and needs as manufacturing. As goods like food, beverages, and household products require routine replacement or replenishment, consumer-packaged-goods (CPG) manufacturers must be at the top of their game throughout the entire supply chain process to meet and exceed those needs while also maintaining product quality.
- Use case: BESS optimization with AI-powered asset performance managementBattery Energy Storage Systems (BESS) assets are critical enablers of reliable renewable energy, but optimizing their performance requires advanced monitoring and predictive analytics. Avathon Industrial AI for Renewables is an asset performance management (APM) solution that leverages artificial intelligence to detect anomalies and recommend maintenance actions for BESS owners and operators.
- Case study: Improve workplace safety in manufacturing with visual AIManufacturing plants have to ensure the safety of their workers and promote the proper use of personal protective equipment. Avathon Visual AI offers real-time detection of safety and security issues, allowing corrective action to be taken.
- Case study: Improve filling station performance with visual AIFueling station operators need to maximize their ability to gain insights that lead to satisfactory visits and repeat business. Avathon Visual AI Advisor offers more than 40 use cases for gas stations and convenience stores to improve operations and profitability.
- Use case: Preventing forklift accidents with visual AIForklift incidents are costly, and far too common, with 7,290 accidents in 2020 alone, resulting in a median of 17 lost days of work per incident.
- Case study: Enhancing quality control with visual AI inspectionOne of India’s leading potato chip producers was discarding up to 7% of its finished product due to defective quality issues. When manual inspection results did not generate the desired quality improvement outcome, they turned to Avathon Visual AI—taking advantage of computer vision-enabled efficiencies that quickly delivered significant quality control gains.
- Case study: Delivering real-time fire safety with AI-powered CCTVClosed-circuit television (CCTV) cameras have primarily been thought of as security systems, not fire safety systems. But if you combine those same CCTV cameras with leading-edge AI capabilities, you transform them into proactive analytical assets that provide actionable insights and automated alerts to better manage risk, increase worker safety, and improve security.
- Case study: Improving offshore oil production with AIMaximize offshore oil production, increase efficiency, and improve safety by deploying AI-powered predictive analytics. Learn how one company improved annual production by up to $30M per platform, avoided maintenance actions that would have caused two days of deferred production worth at least $10M, and predicted 75% of historical failures with an average of 9 days advance warning.
- Case study: Identifying non-productive time on oil rigsLearn how a leading contract manufacturer of specialty petrochemicals leveraged our machine learning-based predictive analytics to improve refinery safety and productivity, starting with industrial pumps.
