Machine learning will transform any area of life that has abundant data and easily measurable objectives. But will it improve how we think and reflect? At Ought, our mission is to build scalable systems that apply machine learning to the task of helping people think, so that future advances in ML automatically increase our collective intelligence.
| Website | https://ought.org |
| Employees | 17 (3 on RocketReach) |
| Address | 1714 Stockton St, San Francisco, California, US |
| Technologies |
JavaScript
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HTML
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PHP
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| Industry | Research |
| Keywords | Machine Learning Models, Predictive Modeling, Predictive Analytics, Machine Learning Applications, Data Analysis, Deep Learning, Artificial Intelligence, Ai Solutions, Scalable Systems, Cognitive Computing, Model Development, Algorithm Development, Data Driven Decision Making, Data Science, Advanced Analytics, Statistical Modeling, Business Intelligence, Decision Support Systems, Big Data Analytics, Data Mining |
| Competitors | Health Workers Hall Of Fame, charity: water, Classy, Kiva, GlobalGiving, GiveWell, Ciox Health Caring Foundation Inc, Arts Horizons, Effective Altruism, Brown and Mason Group Limited +40 more (view full list) |
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3 people are employed at Ought.
Ought is based in San Francisco, California.
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Ziabu Rahman
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Kuala Lumpur, MY2
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