1715 Labs provides data labeling services that combine human expertise with machine learning to efficiently train AI algorithms for various applications. By delivering high-quality, structured training data, they enable businesses to deploy accurate and reliable AI solutions, addressing the challenge of unstructured data limiting AI performance.
Funding
$1.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many organizations struggle to deploy effective AI solutions because they lack access to high-quality, structured training data. The abundance of unstructured data limits the performance and reliability of AI algorithms, hindering their ability to solve complex problems.
Solution
1715 Labs provides data labeling services that combine human expertise with machine learning to efficiently train AI algorithms for various applications. They offer rapid and cost-effective data training, labeling, and analysis, enabling businesses to build datasets and extract better insights. By blending human input with advanced statistical tools, 1715 Labs helps organizations improve and synthesize their data, ensuring the development of accurate, reliable, and scalable AI solutions. Their services bridge the gap between unstructured data and AI deployment, allowing businesses to solve problems more effectively.
Target Audience
The primary customers are data science teams and organizations across various industries (retail, earth observation, advertising, investor intelligence) seeking to improve the accuracy and reliability of their AI models through high-quality data labeling and training.
Features
- Data validation to confirm model outputs and ensure AI accuracy through human validation.
- Data training to quickly develop datasets, improve algorithm accuracy, and structure data effectively.
- Ground truth data gathering from direct observation, synthesized to gain powerful insights.
- Data fusion to rapidly create varying datasets, integrate multiple sources, and improve consistency.
- Specialized solutions for retail, earth observation, advertising, and investor intelligence applications.