Part 2/12:
The founders recognized that AI development involves numerous stages, from initial model building to final deployment in real-world scenarios. They sought to bring together cutting-edge technology, skilled talent, and refined techniques to enhance data annotation services. This approach was designed to support the entire lifecycle of AI, ensuring that models could seamlessly transition from development to production, with safety and precision at the forefront.