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: 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.
- Case study: Predicting ESP failures with variable data qualityPredict electric submersible pump (ESP) failures to decrease well downtime, reduce costly maintenance, and increase production. Learn how one major oil and gas company used normal behavior modeling (NBM) to identify unhealthy pump assets, identified 5 of 7 historical ESP failures with 13-35 days advance notice (potential savings of $1.35M in deferred production), and employed sensor data cluster analysis to classify potential ESP failures.
- Visual AI improves oil & gas safetyThe International Association of Oil and Gas Producers created a set of rules designed to minimize the number of fatal accidents happening at oil & gas work sites. The IOGP asserted that more than 375 lives would have been saved over the previous decade had these rules been followed. Visual AI, in combination with Avathon Industrial AI platform, plays a large role in keeping oil & gas operations safe. Health, Safety, and Environmental (HSE) management programs utilizing Industrial AI solutions are critical to making sure oil and gas operations adhere closely to the IOGP’s rules.
- Avathon partners with CP PLUS, largest CCTV manufacturer in India, to enhance public safety while strengthening community bondsAvathon, provider of the leading AI platform for industrial operations, has partnered with CP PLUS, one of the largest manufacturers of CCTV cameras, to create safer, more connected societies by bundling Avathon’s computer vision technology with each camera. The companies are bringing Avathon’s computer vision AI capabilities to small and medium-sized businesses (SMBs) across India, turning their cameras into intelligent assets that enable more secure workplaces, factories and facilities.
- BAE Systems selects Avathon’s Industrial AI Platform to improve commercial aviation service timeThe Avathon Industrial AI platform has been selected by BAE Systems, a leading aerospace and defense technology company, to ramp up throughput and improve turn-around-time of its maintenance, repair, and overhaul operations. Avathon’s platform offering leverages proven AI innovation to alleviate the increasing strain caused from supply disruptions, maintenance complexity, and staffing challenges.
- How can AI optimize supply chain performance?Unexpected spikes in demand, a lack of workers in factories, and out-of-balance shipping operations can all lead to compromised supply chain performance. The increasing variety of goods offered to consumers also require shippers to operate with as much agility as possible in the face of countless day-to-day challenges. Artificial intelligence (AI) and machine learning (ML)
- Avathon aims to triple workforce in India within 24 monthsAvathon, formerly known as SparkCognition, has announced its rebranding alongside ambitious plans to expand its workforce in India by threefold over the next 24 months. This strategic initiative underscores Avathon’s commitment to revolutionizing Industrial AI across sectors like Energy, Aviation, and Supply Chain Management. This rebranding milestone reflects Avathon’s dedication to integrating advanced AI into legacy infrastructure, transforming traditional systems into autonomous, sustainable, and resilient ecosystems.
