Cerebra

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Industrial AI Driving Asset Uptime Reliability and Operational Efficiency

Page last modified

April 11 2024

Delivering actionable insights through AI powered digital solutions across the Oil & Gas value chain. Cerebra, AI-platform, is rigorously field tested and scaled across enterprises globally.

Cerebra drives actions on the field through use case specific “Digital Assistant” which combines sensor intelligence, video intelligence and edge intelligence.

Cerebra integrates physics, heuristics, and machine learning to drive business outcomes such as reduced production deferment, number of field visits, maintenance costs, time for RCA, number of safety incidents and enhanced uptime.

Cerebra has been deployed across 3 different levels of use-cases:

Equipment Level: Equipment Health, Equipment Failure Prediction, Well Surveillance, PPE Non-compliance, etc
Process Unit Level: Setpoint Recommendation, RVP Prediction, Automated RCA, etc
System Level: Gathering System Optimization, Manufacturing Quality Optimization, etc

Pros & Limitations

Ranked #1 in Gartner’s Voice of the Customer report by customers

Engineer centric as it integrates physics, heuristics and machine learning approaches

No code/low code self service configuration tools for rapid deployment (<90 days)

Industrialization – easily scalable equipment, process and system digital twin

Self-learning based explainable models to drive engineering actions and quicker adoption

Shorter response times of <1 sec for 31 million data points

Greater than 99.8% service uptime

Capability for on-premises, cloud & edge deployment

Needs digital data captured from machine & process

Specification

Specification Title	Specification Description
Areas of Application	Across asset and process intensive industries. Taps underserved challenges of asset-, process- and system-level use cases.
Asset Management	Predictive asset and equipment maintenance alerts any impending downtime in advance, helping to extend asset lifetime.
Integration	Easily integrates with ingest data sources - SCADA, historian, PLC, ERP, MES, and more. Crunches structured and unstructured data.
Monitoring	Video analytics has simplified remote monitoring by revolutionizing the areas of risk mitigation, monitoring, security and operational efficiency.
Condition Based Maintenance	Any deviation from the normal operations or equipment health alerts the operators for a timely intervention.
Platform	Vertical specific digital assistants that can be deployed as on-prem, cloud (public or private) and edge devices.
Prediction	Accuracy of up to 97%, with the availability of historical data. Advanced AI & ML models aid in choosing accurate predictive model across multiple applications.
Machine Learning	Machine learning algorithms based on Supervised, Unsupervised, Deep Learning, Hybrid AI and First Principles.
Digitalisation	Surgical digital assistants like Digital Process and Asset Twin, Pulse, Diagnostics, Prognostics, and more for driving specific business outcomes.
Simulation Tools	Comprises of simulation tools intended at identifying right equipment or parametric changes to virtually achieve the desired output.