Kelvin
Kelvin is a platform for building and deploying autonomous control applications. It offers a Python SDK for app development, seamless ML integration, and scalable edge deployment with built-in safety guardrails. The platform facilitates effortless data streaming from various industrial protocols and enables offline operation. Kelvin supports flexible deployment on any hardware, cloud provider, or on-premises, ensuring data privacy and security. Key features include contextualized data modeling, rapid app development, safe control with real-time guardrails, and seamless data streaming. Kelvin has demonstrated significant production uplift for oilfield optimization, including annual production uplift per well, a high number of SmartApp-driven actions, and rapid ROI. It also contributes to reduced Opex and lower tech team field visits. Kelvin aims to augment engineering expertise with AI-driven control for production goals and energy efficiency, addressing challenges like skills attrition, system inefficiencies, and expertise gaps.
Kelvin
Kelvin is a platform for building and deploying autonomous control applications. It offers a Python SDK for app development, seamless ML integration, and scalable edge deployment with built-in safety guardrails. The platform facilitates effortless data streaming from various industrial protocols and enables offline operation. Kelvin supports flexible deployment on any hardware, cloud provider, or on-premises, ensuring data privacy and security. Key features include contextualized data modeling, rapid app development, safe control with real-time guardrails, and seamless data streaming. Kelvin has demonstrated significant production uplift for oilfield optimization, including annual production uplift per well, a high number of SmartApp-driven actions, and rapid ROI. It also contributes to reduced Opex and lower tech team field visits. Kelvin aims to augment engineering expertise with AI-driven control for production goals and energy efficiency, addressing challenges like skills attrition, system inefficiencies, and expertise gaps.