In-Sight is a hybrid edge/dc computer vision platform for scalable high-performance video analytics. In-Sight is built on Nvidia DeepStream. Our public repositories provide open-source frameworks used in the platform to everyone.

Our organization deeply values the advantages of open-source software and actively contributes to its development. We understand that open source provides numerous benefits, such as transparency, accountability, and a large community of developers to collaborate with.

Contributing to open source allows us to access the knowledge and expertise of others while also giving back to the community. By working together to develop high-quality software, we can ensure that it is accessible and affordable to everyone, regardless of financial resources.

Furthermore, our commitment to open-source demonstrates our dedication to innovation, collaboration, and social responsibility. It allows us to build a strong reputation, attract like-minded customers and employees, and positively impact society as a whole.

• Savant: Python computer vision & video analytics framework with batteries included, optimized for Nvidia hardware;
• Similari: Rust framework with Python bindings for building high-performance real-time multiple object trackers.

The In-Sight team is an ML/AI department of Bitworks Software. We develop custom high-performance CV applications for various industries providing full-cycle processes, including but not limited to data labeling, model evaluation, training, pruning, quantization, validation, verification, pipeline development, and CI/CD. We mostly focus on Nvidia hardware (both data center and edge).

We are part of the Nvidia Inception Program:

E-mail: info@bw-sw.com, Discord: https://discord.com/invite/KVAfGBsZGd