Making the World Safer for Robots and Humans

Logical tools for safer AI systems

- What We Do -


How can we be safer with LLMs or other AI agents that occasionally hallucinate or give incorrect answers? At Data Engines we work on building the logical tools that have brought formal verification to the problem of unsupervised evaluation.

We are looking for vendor partners that want to make their AI systems easier to monitor and control.

Questions? Contact us.

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- Applications -

GroundSeer™ has a variety of possible applications in the arenas of bioinformatics, national security, medical imaging, online advertising/marketing, and data retrieval.

It is particularly suited to artificial intelligence.

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  • Self-driving cars can automatically detect which algorithms or sensors are failing or underperforming.

  • Robotic machines can perform self-assessments on sensors so as to discount bad or failing ones.

  • Security classifiers can detect “intrusion” signals to ensure security software operates using multiple algorithms simultaneously in a whole-is-greater-than-the-sum-of-its-parts scanning operation. Faulty cameras, for instance, could be detected instantly.

  • Image analysis and bioinformatics classifiers can recognize alterations in genetic sequences to enable a decision of whether cells are likely to be cancer or not. A similar assessment could be done using information extracted from images of cells or tissues.

  • Online, the degree of correlation among classifiers making labeling decisions can be continuously monitored.

  • Large datasets can be turned into training data with precise knowledge of the quality of the labels.

- Contact Us -

Let us talk to you about your data. We can help you reach your objectives through our customizable assessment and measurement techniques.

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- Executive Biographies -