Better training data for better models

Model training is often the most time-consuming, expensive, and frustrating part of creating great ML solutions.  Masterful applies state-of-the-art training data generation and optimization techniques that developers can integrate with just a few lines of code.

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Our Values

We believe in the power of diversity and that startups should create opportunity for people from all backgrounds.  We're building our team of employees, investors, and advisors to reflect those values.

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Solutions


Industry winners and losers will increasingly be determined by the successful implementation of Machine Learning. Masterful empowers organizations using geospatial, manufacturing, and security data to launch ML models that generate more accurate results, with no additional developer effort.
 
 
 
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Geospatial

Aerial and satellite imagery are key inputs for understanding the world we live in and its constant state of change. The timeline on projects like assessing the financial impact of a natural disaster have been dramatically decreased by Machine Learning. Organizations leveraging geospatial data are using Masterful to create models that generalize better to new regions, weather patterns, data providers, and object types.  
 
 
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Manufacturing

Assembly lines now function as real-time data centers. Aided by Machine Learning, organizations receive invaluable insights into the health of their manufacturing operations. A key application is detecting defects on the assembly line, where Masterful can improve detection accuracy for issues that are rare or sensitive.
 
 
 
 
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Security

Security has come a long way since the days of closed circuit television. Machine Learning has transformed the security industry and now includes proactive measures to detect and act on threats. Security companies can use Masterful to improve model accuracy and remove model bias in order to keep their constituents safe. 

 

Get a better model now

Try Masterful now and get a better model on your next training run. There are no parameters to tune or datasets to manage.