Kelvin software allows engineers to scale applications that optimize production systems. It includes tools for software engineers to transform logic or models built anywhere, into a smart application that can take action, including control changes, and measure its impact. It comes with an intuitive UI where operations engineers to manage apps, monitor their impact, and act on app recommendations to improve their existing workflows. Kelvin software is built on a robust platform that enables secure edge orchestration, OT data ingestion, and data contextualization.
Kelvin delivers software that enables autonomous operations. It allows applications to continuously learn and take actions, to help safely improve industrial efficiency, increase production, and reduce emissions.
Industrial processes are already complex and operations teams do not have time or the right tools to optimize them for ever-evolving market demands. They are challenged with:
Attrition of subject matter experts leads to a loss of process know-how which slows down the evolution of production processes
Existing optimization know-how is locked in proprietary systems and manual workflows which makes it difficult and costly to maintain, evolve, and scale
Current applications and automation systems are not able to optimize for multiple objectives and take actions, across an entire system
Kelvin can help teams like those save up to 18% of Operations teams' time while optimizing thousands of assets.
How?
Kelvin is built using open, modern technologies and enables customers to extend their existing automation systems by turning their best practices into data-driven, action-oriented Smart Applications (SmartApps) that can optimize entire systems by taking actions on assets across the process.
Kelvin software empowers the engineers within the organizations and enables them to:
Transform their organization's engineering best practices into action-oriented SmartApps that can make closed-loop control decisions
Extend their current automation systems with data-driven SmartApps which can be easily deployed and centrally managed at scale across your entire operations
Track real-time application performance and business KPIs to gain immediate insights into the end-to-end operations for data-driven decision-making
Take the example of a production engineer within an upstream Oil and Gas company who is able to optimize a few progressive cavity pumps efficiently but struggles to scale this to thousands of assets, in real-time across the organization. Moreover, any equipment-level optimization must account for its system-wide impact.
Kelvin helps bridge this gap. It allows the engineer to convert their optimization methods into an automated application that leverages machine learning and data-driven insights, and - when allowed - can automatically adjust hundreds of control set points per day, in real-time. Additionally, engineers can review and confirm recommendations, letting them amplify their best practices across numerous assets.
Kelvin software includes:
SDKs and APIs for software engineers to transform logic or models built anywhere, into a Smart Application that can take action and measure its impact.
An intuitive UI where operations engineers can manage apps, monitor an app's impact, and act on app recommendations to improve their existing workflows.
A flexible control layer that enables Smart Apps to make safe control changes protected by set point guardrails, at edge or cloud
An open data layer with OT connectors that ingests and contextualizes data for building and running multiple applications
Return on Investment
Customers have seen a 3x Return On Investment with Kelvin, in addition to meaningful operational improvements:
$10MM+ reduction in OpEx, by reducing repeated field visits for manual interventions
74% reduction in methane emissions by optimizing multiple variables across a well pad system
30% reduction in failures with applications that are now continuously optimizing assets, even when operations teams aren't available to do so.
Highlights
Time savings for Operations Engineers: Kelvin Smart Apps enable autonomous or human-in-the-loop workflows that take hundreds of actions per day, across an entire system, thereby saving time from manual data analysis and action on individual assets by engineers.
Break legacy automation siloes: Kelvin applications can be centrally managed to optimize an entire system against multiple objectives, which streamlines operations to achieve optimal levels of production, reliability, and cost savings.
Avoid vendor lock-in: Kelvin applications can be built using open technologies and can be deployed on any infrastructure, thereby avoiding expensive proprietary hardware and software solutions.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Kelvin uses a contract pricing model with two separate dimensions. The 1 Site dimension licenses a single site and covers unlimited seats, so you pay per site rather than per user. The AI Agents dimension adds pricing tied to agents. These dimensions work together: you set your base coverage per site, then add agent-related pricing as needed. Pricing scales by adding more site licenses for additional locations, plus agent terms for autonomous control apps deployed across your equipment.
Top-of-mind questions for buyers
What counts as one "site" for the 1 Site license, and how many people can use it?
A site is a single physical location or facility where you deploy Kelvin. The 1 Site license covers that one location with unlimited seats, so any number of engineers or users at that site can access it without extra per-user charges.
How do the 1 Site license and AI Agents dimensions combine on my bill?
Both dimensions bill independently and appear together. The 1 Site license sets your base coverage for one location with unlimited seats. AI Agents pricing adds separately based on the autonomous control apps you deploy across equipment. Adding more sites or more agents each raises cost on its own line.
What happens to my cost when I scale control apps across more equipment?
You can deploy SmartApps to 100+ pieces of equipment and thousands of devices within your licensed site. Adding equipment at that same site does not add site licenses. Cost changes come from the AI Agents dimension and from licensing additional sites for other locations.
kelvin.ai+1
Helpful?
Vendor refund policy
Please reference our End-User License Agreement (EULA) for refund information
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA).
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
The Skywise CONUS dataset is a high-resolution (1km), hourly updating gridded meteorological surface analysis. The data are available for a rolling 365 days with the several variables.
These data originate from NOAA/NCEP.
The NOAA Climate Prediction Center/NCEP/NWS is making the data available originally in binary format, in a weekly rotating archive. The NASA GES DISC is acquiring the binary files as they become available, converts them into CF (Climate and Forecast) -convention compliant netCDF-4 format, and stores the product in a permanent archive. The original record started from February, 2000, but in June, 2025 it was extended back to January, 1998.
The leading edge of data availability is delayed by about 24 hours from real-time to abide by international data exchange agreements between NOAA and EUMETSAT (the METEOSAT data providers).
The data contain globally-merged (60°S-60°N) 4-km pixel-resolution IR brightness temperature data (equivalent blackbody temps), merged from the European, Japanese, and U.S. geostationary satellites over the period of record (GOES-8/9/10/11/12/13/14/15/16/17/18/19, METEOSAT-5/7/8/9/10/11, and GMS-5/MTSat-1R/2/Himawari-8/9[...]
Announcements:
April 2, 2026: The Office of Water Prediction (OWP) has identified some brittle components of the AORC data processing pipelines that, by our estimations, have resulted in 0.04% of all available rows being incorrectly masked. We've resolved the issue and we are currently regenerating the Zarr files to ensure a complete record. We will post an updated announcement once the corrected data is posted.
The Analysis Of Record for Calibration (AORC) is a gridded record of near-surface weather conditions covering the continental United States and Alaska and their hydrologically contributing areas. It is defined on a latitude/longitude spatial grid with a mesh length of 30 arc seconds (~800 m), and a temporal resolution of one hour. Elements include hourly total precipitation, temperature, specific humidity, terrain-level pressure, downward longwave and shortwave radiation, and west-east and south-north wind components. It spans the period from 1979 acr[...]
Nanocoatings represent a transformative segment in advanced materials, projected to surge from 18.24 billion dollars in 2024 to 62.69 billion dollars by 2030 at a 22.85 percent CAGR, driven by nanotechnology innovations enhancing durability, sustainability, and efficiency across automotive, healthcare, electronics, and renewable energy sectors, despite cost challenges.
Be the first to review this product. We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.