Natural Language Processing (NLP) is a form of machine learning technology that enables computers to understand, interpret, and generate human language. By leveraging NLP, businesses can automate customer support, analyze customer feedback, and optimize communication, resulting in increased efficiency and a better customer experience.
Tribe helps companies identify use cases for NLP, select the right models, prepare data, develop custom solutions, and provide ongoing support.

Recent NLP projects
Accelerated time to market for OpenAI-backed startup

Built automation roadmap for publishing startup using GPT

Increased accuracy of core NLP model for compliance startup

Automated categorization of transactions for fintech co

How Tribe can help
Text classification
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Text mining
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Chatbots and virtual assistants
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Named entity recognition


Research at Berkeley and MIT
PhD at Berkeley

Worked at Google Brain, Gretel AI
OpenAI Fellow

AI and research at Meta,
Allen AI, and Palantir

Software Engineering at Google
Linguistics at UCLA

Worked for Nasa, Google,
Stanford, Wayfair

AI Research at Amazon
PhD Cognitive Neuroscience, Published 50+ papers

ML at Google
Early engineer at Amazon Data

Researcher at University of Edinburgh
Product at Google

Engineering at Surge AI, Twitter
Harvard CS degree

ML at Amazon, Microsoft,
ASAPP, Infinitus

Data Scientist at IBM and AWS,
Faculty at Carnegie Mellon

PhD from Cambridge University
Worked on NLP at Amazon Alexa

First employee at Weights & Biases,
Worked at Google

ML Engineer at Meta
Co-founder Habiter (YC S20)
