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.

– Executive Biographies –

Andrés Corrada-Emmanuel, PhD — Founder and Chief Data Scientist Expand

Andrés has 20-plus years’ experience developing cutting-edge technology in machine learning, speech recognition, information retrieval, and computer vision. Most recently, he led optimization efforts at DataXu and Nanigans in building novel ways to reverse engineer RTB markets and diagnose bidding systems. At Dragon Systems, he was a member of the research team that developed the first commercial continuous speech recognition system. In 2010, he founded Data Engines Corporation.

Andrés received his PhD in Physics from the University of Massachusetts at Amherst and his BA from Harvard College.

See Andrés’s LinkedIn Profile

Walker Lee — Founder and President Expand

Walker has more than twenty-five years’ experience in ownership and management of a variety of entrepreneurial ventures, in addition to more than two decades of management consulting. In 2010, he founded Data Engines Corporation.

See Walker’s LinkedIn Profile