Flutura
Smart machines with predictive technology are poised to be game-changers in industries like heavy machinery and oil & gas by reducing downtime.
Anomaly detection Predictive maintenance Performance optimization Industrial IoT (IIoT) data analysis Root cause analysisTool Information
| Primary Task | AI solutions company |
|---|---|
| Category | business-and-finance |
| Sub Categories | predictive-analytics iot-and-hardware manufacturing-and-industrial |
| Country | United States |
| Launch Year | 2012 |
| Website Status | 🟢 Active flutura.com → accenture.com |
| Notice | Aquired by Accenture in 2023 |
Flutura is an AI-powered Industrial IoT (IIoT) platform designed to optimize industrial operations and predict potential equipment failures. It leverages advanced machine learning algorithms to analyze vast amounts of data from various industrial sources, including sensors, SCADA systems, and ERP software. The platform's core functionality centers around anomaly detection, predictive maintenance, and performance optimization. Flutura's AI engine identifies patterns and anomalies in real-time, enabling proactive interventions to prevent costly downtime and improve operational efficiency. This is achieved through a combination of unsupervised and supervised learning techniques, allowing the system to adapt to changing operational conditions and learn from historical data. The platform provides actionable insights through intuitive dashboards and reports, allowing users to monitor key performance indicators (KPIs), identify root causes of problems, and track the effectiveness of implemented solutions. Flutura's target audience includes industrial companies across various sectors, such as manufacturing, energy, and infrastructure, seeking to improve asset reliability, reduce operational costs, and enhance overall productivity. Its unique selling proposition lies in its ability to handle complex, high-volume data streams from diverse sources, providing accurate and timely predictions with minimal human intervention. The platform's modular architecture allows for seamless integration with existing industrial systems, minimizing disruption during implementation. Flutura empowers industrial operators to move from reactive to proactive maintenance strategies, leading to significant cost savings and improved operational performance.
Flutura, founded in 2012 by Krishnan Raman, Derick Jose, and Srikanth Muralidhara, is an AI solutions company that focuses on three major issues in energy and engineering companies: reduction of asset downtime, improvisation of operational efficiency, and increase in asset reliability. Its flagship software platform for Industrial IoT, Cerebra, offers unique diagnostics and prognostics through AI and machine learning, serving the oil & gas, specialty chemicals, and heavy machinery manufacturing industries.
“If you look at the world today, there are more machines connected to the network than human beings. What happened in the consumer world 10 years ago has just begun to happen in the world of machines, on a bigger scale. Everything from nuclear reactors, cars to chairs and tables will be connected to the grid. We see this as a sign of massive potential,” says Jose.
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Frequently Asked Questions
1. What is Flutura and what is its main purpose?
Flutura is an AI-powered Industrial IoT (IIoT) platform designed to optimize industrial operations and predict potential equipment failures. Its main purpose is to improve asset reliability, reduce operational costs, and enhance overall productivity through predictive maintenance and anomaly detection.
2. What are the key features and capabilities of Flutura?
Flutura's core functionalities include anomaly detection, predictive maintenance, and performance optimization. It analyzes data from various sources like sensors and SCADA systems, using machine learning algorithms to identify patterns and anomalies in real-time, providing actionable insights through dashboards and reports.
3. Who is the target audience for Flutura?
Flutura targets industrial companies across sectors like manufacturing, energy, and infrastructure. These companies seek to improve asset reliability, reduce operational costs, and enhance overall productivity by leveraging AI-driven insights for proactive maintenance.
4. What are the advantages of using Flutura?
Flutura offers AI-powered predictive maintenance and real-time anomaly detection, leading to improved operational efficiency, reduced downtime, and significant cost savings. It empowers a shift from reactive to proactive maintenance strategies.
5. What types of data does Flutura analyze?
Flutura analyzes vast amounts of data from various industrial sources, including sensors, SCADA systems, and ERP software to identify patterns and anomalies.
6. What industries can benefit from using Flutura?
Flutura is applicable to industries such as heavy machinery and oil & gas, as well as manufacturing, energy, and infrastructure, where reducing downtime and optimizing performance is crucial.
7. How does Flutura achieve its predictive capabilities?
Flutura leverages advanced machine learning algorithms, employing both unsupervised and supervised learning techniques, to analyze data, identify patterns, and predict potential equipment failures.
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