Corrective AI:

Applying Machine Learning 
to System Optimization

About us

Our Corrective AI Approach believes the potential of machine learning lies in its ability to correct human decisions rather than make them from scratch, hence the term Corrective AI. Our platform uses this ideology to help businesses improve their human decision-making and existing processes with machine learning predictions and optimizations. By partnering with, enterprises will quickly bridge the gap between AI and their existing prediction algorithms, allowing them to focus on their core business activities while their business becomes more productive, intelligent , and efficient through machine learning

Our Corrective AI Services



Unlike our competitors, offers built in, pre-engineered input features. These features are tailored across a variety of industries to improve error prediction in decision-making.

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Our proprietary Conditional Parameter Optimization technique, is an advanced algorithm that is extremely effective for time-varying and stochastic conditions optimization problems.

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No Code

Our pre-engineered features combined with our CPO method can all be used to optimize business processes via our easy-to-use, no-code user interface as well as directly through our API.

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How it Works

The Process looks to combine a client’s industry expertise and intelligence with our corrective AI and data science expertise. This is to be done without replacing the current decision making systems that are already established in an industry. We can achieve this by evaluating the existing data infrastructure to develop a larger feature set. We then augment the data with our domain specific pre-engineered features and proprietary machine learning technology to provide a business with true big data-driven optimization predictions.

Corrective AI Applied

Our Verticals

Semiconductor Manufacturing

Semiconductor manufacturers can use machine learning to deduce more from their equipment sensor measurements allowing for real-time adjustments to their manufacturing processes. These adjustments include, predicting equipment failure, minimizing cycle time, and virtual metrology.

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Airlines can use Corrective AI to increase the factors in their prediction model. This is especially useful for determining the probability of demand on a flight, leading to an optimized flight schedule and maximum revenue.

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Asset Management

Our asset management offerings augment a user’s past trading record with big data, to compute the probability of profit for their next trade. These probability predictions can then be used for risk-management as well as capital allocation.

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Energy and Mining

With our data science expertise, oil and gas firms can enhance the physical oil well measurement datasets to achieve more accurate predictions of oil well productivity. Our solutions don't replace the existing, well-trusted formulas in the industry; instead they aim to correct their accuracy.

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Who we work with

Our Partners


Want to get in touch?

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To inquire about starting a Proof of Concept with or if you have any questions, please fill out the contact form below and we’ll get back to you as soon as possible.

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