Bodo aims to make high-performance computing accessible by integrating Python/pandas with SQL, leveraging existing open-source innovations from communities like Numba, MPI, and pandas. The platform uses a JIT compiler to achieve C++/MPI levels of speed and scalability. Bodo's approach is community-driven, utilizing open-source projects while creating commercially available optimized software and enterprise tools. By standing on the shoulders of giants, Bodo collaborates with existing open-source communities, fostering a collaborative environment where developers from different backgrounds work together to address mutual problems. The platform prioritizes transparency, publicly available source code, and multi-organizational engagement, promoting an "open" and interoperable ecosystem that supports standard protocols, file formats, storage systems, workflow orchestration tools, and more. By leveraging open-source software, Bodo aims to increase compatibility, facilitate data exchange between platforms, and provide a seamless user experience. The company believes that community-driven open source is critical for effective modern data processing platforms, as no single company can solve all data problems alone.