Create labeled training data for AI. Label unstructured text in less time than hand-labeling. Build your machine learning models faster.
Employees: 1-10
Total raised: $3.1M
Founded date: 2021
Funding Rounds 2
| Date | Series | Amount | Investors |
| 27.06.2024 | Seed | $1.1M | - |
| 15.12.2021 | Seed | $2M | - |
Mentions in press and media 6
| Date | Title | Description |
| 27.06.2024 | Quickcode.ai Raises $1.1M in Seed Funding | Quickcode.ai, a McLean, VA-based provider of artificial intelligence software for the trade compliance industry, raised $1.1M in Seed funding. Backers included PS27 Ventures, and DataTribe. The company intends to use the funds to expand ope... |
| 26.06.2024 | Female Founder Raises $1.1 Million for Artificial Intelligence Startup | Quickcode.ai, a leading provider of artificial intelligence software tailored for the trade compliance industry, has raised $1.1 million in seed funding. MCLEAN, VIRGINIA, USA, June 26, 2024 /EINPresswire.com/ -- News Release For Immediate ... |
| 15.12.2021 | QuickCode.ai Raises $2M in Seed Funding | QuickCode.ai, a Fulton, Md.-based platform that enables organizations to unlock the insights trapped in text data to solve the data-labeling bottleneck that is inherent when deploying AI applications at scale, raised $2m in seed funding. Da... |
| 14.12.2021 | QuickCode.ai Announces $2M Seed Investment from DataTribe | QuickCode.ai announced today the company has raised $2 million in seed funding from DataTribe, a global cyber foundry that invests in and co-builds next-generation cybersecurity and data science companies. QuickCode.ai won the 2021 DataTrib... |
| 09.11.2021 | Money Moves: HawkEye 360 lands a nine-figure Series D round | In one of the largest raises of the year, Herdon, Virginia’s HawkEye 360 raised $145 million in fresh funding through a Series D round. The geospatial analytics firm, which measures space-based radio frequency data, announced the raise Mond... |
| - | QuickCode.ai | “Try our quick, accurate HS Code Lookup Tool at Quickcode.ai and say goodbye to outdated and inaccurate HS Code Classification methods.” |