Partnered with Adept to create data for agent models

SoftAge collaborated with Adept to create a dataset to train an action transformer model.

The primary objective was to curate a diverse dataset consisting of various user interactions with software tools.

The dataset is pivotal for enhancing AI's understanding of human-computer interactions, involving planning and execution to capture diverse user actions across multiple software applications.

• Generating a dataset of this magnitude was challenging, requiring coordination and time to ensure tool coverage and high-quality data.
• Each tool required domain experts to capture data accurately, reflecting the nuances and complexities of user interactions specific to each application.

We assembled a skilled and diverse workforce, including professionals from various domains such as research, technology, finance, engineering, and creative design, which ensured coverage of interactions across different tools and scenarios.

We created an in-house tool to capture actions and designed a process for data creation and audit at scale.