PeoplewareAI | AI by and for the People

Spin Off Accademica – Accreditata dell'Università degli Studi di Bari Aldo Moro.

AI by and for the People

About Us

PeoplewareAI is an academic spin-off created by researchers from the COLLAB research group specializing in collaborative software engineering, social computing, affective computing and data science. PeoplewareAI intends to transfer skills and technologies to offer people-centered AI data-driven products to the market, to be integrated into AI-enabled software solutions.

TRANSPARENCY

Products

We make data-driven AI products centered on the people.
Our products are designed to be seamlessly integrated into AI-enabled software.

MLOps Pipeline

Streamline your end-to-end ML workflow with our comprehensive solution. Our pipeline handles every step, from ML project documentation and version control to experiment tracking and data quality assurance. With built-in CI/CD capabilities, you can seamlessly deploy and iterate on your ML models. Utilize our REST APIs to integrate ML-based components into your applications effortlessly. Our pipeline also offers containerization and orchestration for ML components, ensuring smooth operations at scale. Monitor your ML components in production with ease. Experience a professional and reliable MLOps solution that empowers your team to focus on what matters most – creating exceptional ML models.

Behaviz

PeoplewareAI's flagship product is BehaViz, an AI product focused on behavioral data, including the recognition of emotions from written text. The user can customize the recognition of emotions not only with an annotated dataset different from the basic one but also with a classification model different from the original one. This allows both greater recognition accuracy and greater flexibility of use.

BehaViz can be used as a cloud computing service in Software-as-a-Service (SaaS) mode, connecting the service to customer data sources through specific integrations. This allows the user not to have to move their data outside the databases on which they are hosted.

Try the demo!