Linkedai

LinkedAI, founded in 2018 by CEO Paula Villamarin and CTO Diego Parra, operates a data-centric platform aimed at accelerating the development and deployment of artificial intelligence models. The company provides services and a SaaS-based platform for labeling the data used to train machine learning models, with a specific focus on computer vision applications.

The core of LinkedAI's offering is its proprietary labeling platform, which equips AI teams with tools to annotate and manage high-quality training data. This includes features for various annotation types such as bounding boxes, polygons for irregular shapes, landmark annotation for detecting shape variations, 3D cuboids for calculating object depth, and semantic segmentation for pixel-level classification. The platform is designed to handle image, video, and 3D point cloud data. Beyond annotation, the company provides data curation services to filter and select the most relevant data for labeling, and validation services where a human-in-the-loop process reviews and corrects model predictions.

LinkedAI targets machine learning teams across several industries, including robotics, retail, automotive, agriculture, and healthcare. The business model combines its software platform with a service component, offering an on-demand, in-house workforce of over 300 trained data labelers. This hybrid approach allows clients to either use the platform themselves or outsource the entire data labeling process to LinkedAI's dedicated teams, which include a project manager and solutions engineer for continuous alignment. Revenue is generated through this combination of software access and managed services. Notable clients include Coca-Cola, Globant, and Drexel University.

Since its inception, the company has positioned itself as a solution to reduce the time and operational costs associated with preparing training data for AI projects. In November 2022, LinkedAI secured $500,000 in a seed funding round led by Globant Ventures, with participation from other institutional investors like Rockstart and Lanzadera.

Keywords: data labeling, computer vision, training data, machine learning, AI development, image annotation, video annotation, data curation, human-in-the-loop, SaaS, machine learning models, AI platform, data annotation platform, semantic segmentation, bounding box, AI in agriculture, AI in automotive, AI in retail, model validation, point cloud data