3co
CEO
Lance Legel
10+ years developing A.I. (deep learning, computer vision, NLP, multi-modal optimization, ...). A.I. R&D leader for Fortune 500s and venture-funded startups.
10+ years developing A.I. (deep learning, computer vision, NLP, multi-modal optimization, ...). A.I. R&D leader for Fortune 500s and venture-funded startups.
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Experience
eCortex
Computer Vision Engineer
eCortex is an AI R&D lab in Boulder, Colorado led by PhDs in computational neuroscience. Researched and developed object localization and semantic segmentation networks... more for US defense. Developed a 3D simulator of sonar data for training deep neural networks. Solved mission critical problems with deep neural networks on limited image & field sensor data.
Data Engineer
Outbrain is a unicorn advertising technology startup in New York City reaching over 100 million people. Built, tested, and deployed production data streaming and machine... more learning models. Developed NLP models on trending topics for driving content recommendations to millions of users. Developed NLP system words2map to infer out-of-vocabulary (OOV) N-gram deep vectors via web search. Developed time-series machine learning models for forecasting web data streams.
NASA
Research Scientist
Developed computational models for understanding new planets detected by NASA’s Kepler Mission. Researched and developed relativistic gravitational model for “Planet X” hypothesis... more in solar system.
Employee
Projects
iOS app designed and developed by 3co for urban jungles
3co developed an iOS app for buying plants through augmented reality. 3co doubled sales of plants that were 3D scanned and rendered on consumer smartphones.… · More See video demo at vimeo.com/262028192
Iris by 3co: one-button photorealistic 3D modeling machine
3co is developing Iris, a 3D copy machine for the physical world, that could eventually drive hundreds of billions of dollars in new e-commerce sales. Iris… · More machines are designed to automatically 3D model retail products for B2B retail partners, with sub-perceptual 3D geometry and photometric error, in only a few minutes per product. Iris is based on several proprietary advances in sensors, models, actuators, and AI. It only needs to see each product once for mixed reality demos on billions of devices. See demo of scan: https://www.youtube.com/watch?v=jLztzSzqFQU
NASA exploration grant in 2012 for autonomous 3D vision
A robotic gantry system for acquiring 3D point cloud data on objects.
Education
About
Achievements
- 15 years R&D experience including for NASA, Fortune 500s, and tech startups
- Patented methods in computer vision, deep learning, and robotics
- Led machine learning engineering for a Techstars-funded company
- Graduate coursework in machine learning at Columbia University
- 1st place award for machine learning project at NYC data hackathon
- Andreessen Horowitz award for machine learning project at Columbia DevFest
- Master of Science thesis on deep neural networks from University of Colorado
- Outstanding Leadership Award with honors physics degree from University of Florida
Skills
Locations