Synthesis

Synthesis AI is a cutting-edge startup that specializes in creating synthetic data for computer vision models. This means they generate artificial images and videos that are used to train and improve machine learning algorithms, particularly those that help computers "see" and understand visual information. The company operates at the intersection of deep learning (a type of artificial intelligence that mimics the human brain) and CGI (computer-generated imagery).

Synthesis AI serves a diverse range of clients, including tech companies, security firms, and researchers who need large volumes of accurately labeled data to develop and refine their AI models. Their synthetic data is used in various applications such as markerless tracking (tracking objects without physical markers), virtual green screens, activity recognition, threat detection, and facial ID verification.

The market Synthesis AI operates in is the rapidly growing field of artificial intelligence and machine learning, with a specific focus on computer vision. This market is expanding as more industries adopt AI technologies to automate and enhance their operations.

Synthesis AI's business model revolves around providing on-demand synthetic data. They have developed a highly scalable platform that can generate millions of perfectly labeled images and videos quickly and cost-effectively. This approach is significantly faster and cheaper than traditional methods that rely on human annotation (manually labeling data). By offering this service, Synthesis AI enables its customers to develop more accurate and ethical AI models in a fraction of the time.

The company makes money by selling access to its synthetic data generation platform. Clients pay for the data they need, which can be customized to fit specific requirements. This pay-as-you-go model ensures that clients only pay for what they use, making it a cost-effective solution for businesses of all sizes.

Keywords: synthetic data, computer vision, deep learning, CGI, AI models, data generation, scalable platform, labeled images, facial ID, activity recognition.