1. Complete autonomous control through predictive closed-loop control.
2. Advanced data science paired with industry expertise.
3. Turn-key solution that is easily and quickly deployed.

During the First Application period, ProcessMiner makes the upfront investment attractive to new customers. During First Application our we typically only look to cover our costs to deliver an MVP [Minimum Viable Product] in line with the success criteria we mutually agree upon for the First Application period.

After success criteria are achieved, and the customer is ready to roll the platform into production at scale, we negotiate a familiar SaaS license model per production line. We offer discounts for achieving certain critical mass thresholds of adoption, and we ordinarily credit any money paid for the MVP towards any one-time implementation fees.

We have successfully used creative pilot models that help de-risk the up-front investment and are happy to discuss those details if we are chosen to work on your business.

We have multiple subject matter experts on staff with practical hands-on operational and technical experience working at high volume continuous manufacturing operations, including expertise in (but not limited to):

• Pulp & Paper
• Packaging
• Water Treatment
• Automotive
• Metallurgy
• Food & Beverage
• Petro-Chemical
• Pharmaceuticals

ProcessMiner has access to an extensive group of IIoT Engineering Specialists for assistance with features, including the autonomous closed-loop features of the platform. We’ve successfully delivered closed-loop autonomous functionality [Auto-Pilot] in both the Plastics and Paper industries. We also have experts in process control.

During the “First Application” portion of the project, we closely collaborate with your process engineers – typically for a minimum of one hour each week. The iterative feedback loop between our data science, product development teams, and your process engineering members is essential as we configure the library of models on our platform for your business.

The ProcessMiner™ platform is a cloud hosted application that is interoperable with most existing technology and infrastructure already deployed at the factory. Little preparation is required. Most of the weight-lifting is done by the ProcessMiner™ team. At the initial stage, we conduct an in-depth problem discovery, run a preliminary analysis, and then deploy the real-time predictive and autonomous control.

We typically have a new customer operating within four to six weeks of establishing streaming data.

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Predictive analytics uses historic data to predict process outcomes. With the advantage of advanced machine learning, these models continue to learn providing the user with accurate information that can drive better decisions.

The data comprises real-time process variables (collected via sensors or IIoT devices), the control variables, product quality measurements, product failure, product grade, machine run status, and other applicable parameters.

Data can be accessed from any source and in real-time or batch. We currently access data from all historians and IIoT devices operational in the factory or on the production lines.

The data health report will identify whether the customer’s data is suitable for advanced analytics. Metrics that evaluate quantity, frequency, quality, and accuracy are used to evaluate data health and integrity. 

At ProcessMiner, our number one goal is to be a strategic partner to our clients. We use industry-standard best practices, rigorous data security, and data privacy precautions to ensure customer data is safe and secure. We use customer data only to benefit the customer providing the data and do not share data outside of the secure platform ecosystem. We will agree to construct commercial language in any agreement that guarantees rigorous safeguards around customer data use.