Quickcode.ai is a McLean, VA-based provider of artificial intelligence software for the trade compliance industry. The company leverages large language models and a science-based UI to streamline data management for trade compliance professionals. Its product suite includes a 24/7 cloud-based product compliance monitoring platform, a specialized integration for SaaS providers requiring access to trade compliance data, and an API that enhances assignment of compliance data to large product datasets. Led by CEO Shannon Hynds, Quickcode offers tools aimed at improving compliance data workflows for trade professionals. The company raised $1.1M in Seed funding and plans to use the proceeds to expand operations and development efforts. The round was backed by PS27 Ventures and DataTribe. QuickCode.ai provides a platform that targets and creates datasets for text-based machine learning, focusing on the most representative, hard-to-label, and edge-case examples to improve label quality and reduce labeling time. The product brings subject-matter experts into the pipeline earlier so teams can collect the right data, inform labeling rules, and produce more accurate, less biased models. Its technology is powered by methods developed and patented by Harvard University and was built by data scientists for data scientists. The company plans to invest in research and development, visualizations, metrics, and enhanced recommending algorithms to strengthen its offering. Management says the platform can also help identify and mitigate model drift in operational pipelines as language and terminology evolve. The company announced a $2 million seed investment to support these efforts.

Total raised

$3M

Funding rounds

2

Latest round

Seed

Latest activity

Jun 2024