AI Companies in Natural resources
Explore artificial intelligence vendor companies in the natural resources sector, including companies in mining, agriculture, agtech, oil and gas, and more.
Description: The Bonsai platform makes adding intelligence to your application simple and intuitive. If you can code then you can leverage Bonsai to build, teach and use AI models to make your applications more automated, adaptive and flexible. No machine learning expertise required. Products: CLI: The Bonsai Command Line Interface (CLI) allows users to integrate the Bonsai AI Engine into their existing tool chain, build process, and 3rd party Integrated Development Environments (IDEs). Web Interface: The Bonsai Web Interface allows programmers to analyze, profile, and manage intelligence models. Inkling: A special purpose AI programming language designed to represent AI in terms of what you want to teach instead of the low level mechanics of how it is learned. The Bonsai AI Engine: The AI Engine abstracts away and automates the low-level mechanics of artificial intelligence. Each Inkling program developed is fed into the Bonsai Artificial Intelligence Engine in order to generate and train appropriate models (referred to as BRAINs). BRAINs: A BRAIN is the compiled and trained intelligence model produced, hosted, and managed within the AI Engine. Each BRAIN is available for ongoing debugging, refinement, and reuse. APIs: Bonsai's HTTP Application Programming Interface (API) enables developers to interact with the Bonsai Artificial Intelligence Engine to create, train, share, and analyze BRAINs.
Description: Uptake is a platform of answers built for industry, with industry. Products: Condition-Based Monitoring: Track real-time measurements from thousands of high-value assets across your industrial ecosystem. Understand each asset’s health status and location in every corner of the globe and make informed decisions about how and when they are maintained, using the world’s most intuitive industrial analytics and visualization platform. Planning and Forecasting: Create optimal operation plans based on performance data and schedule recovering strategies to minimize operational disruptions due to unforeseen events. Improve forecasting to ensure that parts and equipment are available when needed, minimizing unscheduled downtime. Fuel and Energy: Manage and optimize the yield of fuel and energy. Improve fuel efficiency with the ability to adapt to network conditions and plan routes based on speed, terrain, and other constraints. Monitor asset performance and benchmark assets in a fleet to identify poorly performing assets and equipment in need of repair or maintenance. Supply Chain Optimization: Increase the speed of operations by connecting data points across your enterprise. Calibrate interdependent processes, so that activity in one section of the supply chain triggers automated best responses throughout your connected operation. Performance Optimization: Improve speed, efficiency and effectiveness across operations using asset tracking to adjust operating plans; incorporating asset-specific context like weather, terrain and geography. Analyze operator actions to identify trends and efficiencies. Gather network insights to improve solutions within business constraints.