From global corporate data strategy to startup metrics, we guide leadership on operation and strategy. We also advise companies on team structure, growth, and development processes.
Whether it's modeling churn likelihood, which picture to show user segments, or projecting industrial trends, we model complex problems with machine learning.
We've built scalable systems for information extraction, processing, and modeling natural language data. Our most recent custom scalable NLP system is now open source.
"We hired Luminant to help build a quantitative report about the startup ecosystems in cities across the country. They were a pleasure to work with throughout the process: knowledgeable, thorough, engaged, and helpful. The combination of technical skills and general analytical ability made them more than a vendor building a specific product for us; it made them a true partner on the project, helping us to conceptualize new metrics to take our work to the next level and educate ourselves along the way. They are an ideal fit for anyone trying to tackle a complex data challenge."
Patrick McAnaney, 1776.vc
Wordnik is a dictionary that catalogs every word used in English on the internet. Our custom-built scalable Natural Language Processing and Machine Learning Model pipeline finds new definition of words. The final product, Serapis, is an open-source end-to-end solution using Amazon Lambda as a task pipeline.
Scouring the Web to Make New Words ‘Lookupable’ The New York Times
Development of Python tutorial series for business analysis using real-world data.