Talos
New accelerator entry · 2026-08-26 · the record
In their words
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.
What the record says
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.
Founders, titles and bios as the company published them. Photographs are our own copies of the ones on that record, so they do not break when the original link expires.
Against the 29 companies on file from Fall 2026. Median team 2, largest 6.
The nearest companies on file from the same batch, side by side with this one.
| Company | Batch | Sectors | Listed |
|---|---|---|---|
| Dreamscale Labs | Fall 2026 | Artificial Intelligence, Robotics, Infrastructure | 2026-09-05 |
| Sinter | Fall 2026 | 3D Printing, Manufacturing, Advanced Materials | 2026-09-05 |
| Hopper | Fall 2026 | Infrastructure, AI | 2026-09-04 |
| OnePatch | Fall 2026 | DevOps, Automation, AI | 2026-09-03 |
| Orca Aerospace | Fall 2026 | AIOps, Space Exploration, Satellites | 2026-09-02 |
| Talos (this page) | Fall 2026 | Deep Learning, IoT, Energy | 2026-08-26 |
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The full profile
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Sourced from the company's Y Combinator directory entry. Figures are read directly from the source record; names have not been matched against other people.
