Machine Learning Consulting for the Industrial Internet of Things

Other AI firms and Industrial IoT consultancies start by talking a big game, but end up taking you in circles. Not at Toumetis. We don’t hide behind overinflated tech buzzwords or empty jargon. Straightforward and strategic, we talk the talk and walk the walk – side by side with you. Toumetis focuses on the big picture. In the brave new world of the next industrial revolution, that perspective is vast.

A proven, productive, profitable path
Toumetis brings a flat team structure that enhances direct collaboration and eliminates efficiencies to take your solution from concept to completion in weeks or months, not years.  We’re proud of our proven development methodology that enables us to deliver the machine learning solutions you need to capture both short-lived and long-term opportunities to build your business. Here’s how we break it down:

Business Understanding – Toumetis focuses on understanding the project objectives and requirements from a business perspective, then converting this knowledge into a data mining definition and designing a model to achieve the objectives.

Data Understanding – Beginning with initial data collection, this phase then proceeds to data analysis:identifying data quality problems, discovering first insights into data, and detecting interesting subsets to form hypotheses for hidden information.

Modeling – Various modeling techniques are selected and applied, and their parameters are calibrated to optimal values. Typically, there are several techniques for the same data mining problem type. Because some techniques have specific requirements on the form of data, stepping back to the data preparation phase may be necessary in some instances.

Evaluation – Before proceeding to final deployment of the model, it’s important to more thoroughly evaluate the model and review the steps executed to construct it to be certain it properly achieves the business objectives. A key focus is determining if there are any important business issues that need further consideration. When this phase is complete, a decision on the use of the data mining results should be reached.

Deployment – Depending on the requirements, the model will be updated by field experts through a reinforced machine-learning methodology as they receive real-time data. This establishes an automated continuous improvement loop that isn’t dependent on data scientists.

Delivering insight where you need it
Backed by some of the most brilliant brainpower in the app development world, Toumetis designs, builds, tests, and implements solutions that seamlessly integrate with your business workflows. With ease of use and security top of mind, we help employees become more productive and customers more satisfied while growing your profitability.

Move forward in collaborative confidence
Our consulting, development, and data science approaches have been honed through years of real-world experience with major companies across many business sectors. Our team brings decades of experience in applied data science through the entire development life-cycle—from project set-up to production deployment.

Let’s talk business—and make breakthroughs happen from the inside out.

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