Augment engineering expertise
with Autonomous Operations

Control process equipment with AI or first-principles-based Kelvin SmartApps™ for production goals and energy efficiency.

Kelvin thrives in dynamic conditions to optimize systems and processes

  • Optimize Continuous Processes
    Observe and Optimize critical, long running processes in real time.
  • Equipment Control
    Drive Control changes to equipment (static, mobile, rotating) alongside existing OT systems.
  • Closed Loop Automation
    Take actions based on SmartApp to close the loop, learn and continuously improve.
  • Handle Dynamic Behaviour
    Respond to real field events which present variability using multiple, modular SmartApps.
Customer Use Case

Driving Real World Impact

0

Autonomous and Human in the Loop Control Actions

0 %

Reduction Time Spent on Manual Tasks

0 %

Production Increase with Automated Decisions

0 %

Reduction in Wells Energy Consumption

Autonomous Well Optimization

Discover how Kelvin integrated human expertise with AI to deliver autonomous well optimization and control for Santos, achieving a 3x ROI in 12 months.

Download Use Case
Overview

Kelvin SmartApps

Turn your expertise into autonomous control — whether starting from scratch or using what you already know.

Mission

Why it matters?

Engineers are limited by time, existing tools and cannot drive system wide impact!

Attrition

Skills attrition creates challenges to run operations effectively e.g. 20 production engineers managing 4000+ wells.

Efficiency

Engineers need to log in to many disparate, siloed OT and IT systems to analyze data and take actions.

Expertise

Matching the right expertise for the right problem is difficult due to tribal and shrinking institutional knowledge.

Impact

Engineers are not able to track the business impact of actions taken by them or by existing automation.
Product Features

Discover everything
you can do with Kelvin

Learn how Kelvin provides an all-in-one solution for building autonomous control applications.

Python SDK

Simple to use Python SDK to develop and test control apps that can seamless integrate with your machine learning models.

MLFlow Import

Seamlessly import machine learning models from existing AI tools like Databricks, Sagemaker or Azure ML Studio.

App Templates

Develop in minutes by leveraging the pre-built code samples for common control use cases like Multi Objective Optimization.

Real-time Streaming

Easily connect and stream data to apps from a wide range of industrial protocols like OPC-UA, MQTT, OSI PI and Modbus.

Contextualization

Stay in sync with your existing internal systems with a flexible approach for modeling assets and data streams.

Dynamic Parameters

Adjust app parameters in real-time for optimizing performance on each individual equipment.

Data Explorer

Visualize real-time data with a user-friendly explorer tool for multiple assets.

Data Annotations

Enhance app performance through expert annotations and insights.

Data Export

Export all your data efficiently from Kelvin as CSV files or through the API.

Online & Offline Edge

Deploy your apps close to your edge equipment for continuous 24/7 operation, free from connectivity concerns.

Deployment at Scale

Scale your control app to 100+ equipments with a simple to use interface.

Logs & Telemetry

App logs and telemetry are stored and uploaded to make it easier to troubleshoot issues and monitor performance.

Open Architecture

You control where Kelvin is installed, where your data is stored and your apps are deployed.

API First

Kelvin is built on top of a public API and you can build your own workflows for advanced use-cases.

Hybrid & On Prem

Kelvin runs on any commercial off-the-shelf hardware, any cloud provider, or on-premises.

SOC2 Compliant

Kelvin is SOC2 compliant, ensuring data privacy and security for your operations.