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At Talos, we are building better, more modern predictive maintenance for the power industry with a focus on large transformers. Our devices continuously monitor critical power equipment and detect problems early on using anomaly-detection models.
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New accelerator entry · 2026-08-26 · the record
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At Talos, we are building better, more modern predictive maintenance for the power industry with a focus on large transformers. Our devices continuously monitor critical power equipment and detect problems early on using anomaly-detection models. For each fault, we provide detailed analyses of the problem, exactly where and why it happened, as well as next steps teams should take.
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Talos continuously monitors critical power equipment, detects meaningful changes in behavior, and tells teams where to look before a failure becomes an outage.
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Founder at Talos. Currently studying Electrical and Computer Engineering at Carnegie Mellon, where he designs power systems for CMU's flagship disaster response snake robots in the Biorobotics Lab. Previously interned at Constellation Energy working on power engineering and predictive maintenance systems.
Founder at Talos. Undergraduate researcher at Johns Hopkins School of Medicine, designing transformer-based foundation models for physiological waveforms using 100+ TB of ICU data. Published 3 papers (100+ citations, NeurIPS Workshop) on few-shot GPT-4 prompting for question generation. BS Computer Science & Applied Math at Johns Hopkins.
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