More information about location
Data prepping for Large Language Models
Open for applications
Data prepping for Large Language Models
21-100 employees
Open for applications
More information about location
21-100 employees
To give organizations access to all of their data.
Desirable
Unstructured.io is tackling a prevalent challenge in AI adoption - the difficulty of integrating complex, enterprise-sized data with Large Language Models (LLMs). The company's platform provides a solution by extracting and staging all data, even that which is in difficult-to-use formats, and making it compatible with LLMs.
Thus, the startup streamlines the time-consuming data preparation process, providing tools for otherwise complex tasks like removing unwanted elements, text concatenation, and Optical Character Recognition (OCR). It also tailors processing pipelines for specific document types, addressing a critical bottleneck in AI development workflows.
In enabling the seamless integration of LLMs with enterprise data, Unstructured.io's platform has the potential to unlock substantial productivity gains. As of 2023, it boasted over 700,000 downloads, and will continue to develop its pioneering solution to the data preparation bottleneck which will be critical for addressing evolving industry demands.
Steph
Company Specialist at Welcome to the Jungle
Few candidates hear
back within 2 weeks
Mar 2024
$40m
SERIES B
Jul 2023
$20m
SERIES A
SoMa, San Francisco, CA
Brian S. Raymond
(CEO)Previously worked in Investment Banking at Harris Williams & Co. Prior to this they worked at The White House in the National Security Council and as an Intelligence Officer at the Central Intelligence Agency.
Matt Robinson
(Head of Product)Previously a Machine Learning Engineer at Rebellion Defense, a Solutions Engineer/Director at Primer.ai, and a Data Science Manager at Capital One.
Crag Wolfe
(Head of Engineering)Previously the Director of Engineering at Primer.ai. They also worked at Red Hat as a Python Developer and at Ricoh Innovations as a Web Architect.
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