Corva
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About
Corva is a comprehensive energy performance platform designed to modernize oil and gas operations through the application of real-time data and predictive intelligence. By integrating disparate data streams into a single, unified interface, the platform provides actionable insights that allow operators to monitor drilling, completions, and geoscience activities as they happen. The core objective of the tool is to shift the industry from reactive troubleshooting to proactive optimization, using AI to identify potential hazards or inefficiencies before they impact the bottom line or safety. The platform functions as an ecosystem where users can access specialized solutions for various stages of the energy lifecycle. For instance, the predictive drilling module utilizes historical and real-time data to forecast rig performance, while the completions segment focuses on maximizing fracturing efficiency. One of Corva’s standout features is its Fusion environment and Dev Center, which allows companies to build and deploy their own custom applications or integrate third-party tools. This extensibility ensures that the platform can adapt to specific organizational workflows rather than forcing a one-size-fits-all approach. Corva is primarily built for professionals within the energy sector, including drilling engineers, completion managers, and geoscientists who require high-fidelity data to make critical decisions. It is equally valuable for corporate sustainability officers looking to monitor environmental impact and executive teams focused on driving capital gains through operational excellence. Large-scale energy enterprises and specialized service providers benefit from the platform's ability to facilitate collaboration between remote operations centers and onsite crews, ensuring everyone works from a single source of truth. What distinguishes Corva from traditional data logging software is its emphasis on predictive intelligence and its open development architecture. While many tools simply record what has happened, Corva’s AI-driven models help predict what will happen next, such as equipment failure or drilling dysfunctions. Furthermore, its strategic partnerships with major industry players like Baker Hughes and Nabors Industries highlight its role as a central hub for digital transformation in energy, offering a level of cross-functional integration that is rare in legacy oilfield software.
Pros & Cons
Supports real-time monitoring of drilling and completions for immediate decision-making
Open Dev Center allows for the creation of custom, proprietary applications
Strategic partnerships with Baker Hughes and Nabors enhance global rig integration
Predictive AI helps identify equipment failure and drilling dysfunctions before they occur
Unified platform combines geoscience, drilling, and sustainability data in one place
Pricing information is not publicly available and requires a custom quote
No self-service free trial option is currently listed on the website
Advanced features may require significant technical expertise or dedicated training
Use Cases
Drilling engineers can use predictive intelligence to identify mechanical dysfunctions in real-time, preventing costly non-productive time.
Sustainability officers can track environmental metrics and emissions data across operations to ensure compliance with corporate ESG goals.
Completions managers can monitor fracturing stages via the platform to optimize fluid and sand placement efficiency.
Software developers at energy firms can use the Dev Center to build and deploy custom analytical tools directly into the fleet's workflow.
Remote operations center teams can collaborate with onsite rig crews using a shared real-time data dashboard to improve communication.
Platform
Features
• mobile app access
• sustainability tracking
• geoscience analytics
• fusion integration platform
• dev center for custom apps
• completions monitoring
• predictive intelligence ai
• real-time drilling data
FAQs
What specific sectors does Corva support?
Corva provides specialized AI-driven solutions for drilling, completions, geoscience, and sustainability within the energy industry. It is designed to optimize performance across the entire lifecycle of an oil and gas project.
Can I build my own applications on the Corva platform?
Yes, Corva features a Dev Center that allows users and third-party developers to create custom applications. This facilitates the integration of proprietary workflows and specific data models into the unified platform.
How does the platform improve safety?
The platform uses predictive intelligence to monitor real-time data and identify potential hazards or dysfunctions before they occur. This proactive approach allows operators to take corrective action, reducing the risk of accidents.
Is there a mobile version of the Corva platform?
Yes, Corva offers the Corva Next app, which is available for download on both the Apple App Store and Google Play Store. This allows users to monitor energy operations and access insights from mobile devices.
Does Corva offer a free trial?
The website does not list a free trial; instead, interested users are encouraged to schedule a demo to see the platform's capabilities. You can contact their sales team via the website's contact form to discuss specific needs.
Pricing Plans
Enterprise
Unknown Price• Real-time drilling data monitoring
• Predictive drilling analytics
• Completions optimization
• Sustainability and ESG tracking
• Geoscience data integration
• Fusion platform access
• Dev Center for custom app building
• Mobile app access (iOS/Android)
• Dedicated account support
Job Opportunities
Backend Team Lead (Python)
Optimize oil and gas operations using real-time predictive intelligence and AI-driven analytics to enhance drilling safety, performance, and capital gains.
Benefits:
Medical insurance
Sport compensation
B2B contract with a US-based company
Remote-first setup
Professional growth support
Experience Requirements:
Minimum of 5 years of hands-on experience with Python
Experience in mentoring or leading small teams
Experience working on large-scale projects
Other Requirements:
Familiarity with NoSQL databases
Effective communicator
Knowledge of Python 3.9, Asyncio, Pytest, AWS
Knowledge of MongoDB, Redis, Kafka, Docker & k8s
Responsibilities:
Architect and deliver efficient, well-documented code
Define development plans based on project requirements
Oversee project stability and monitor system health
Lead code reviews with peers
Drive innovation through continuous learning
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Ratings & Reviews
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