Deepgram built its platform in Rust due to the language's efficient memory management and strong concurrency support. The company had previously developed three iterations of their speech engine using Python, but faced challenges with memory allocation, bottlenecks, and parallelism. Rust provided a solution for these issues by offering better control over memory usage, enabling more efficient CPU utilization, and supporting multithreading without the risk of data races. Additionally, Rust's strict static analyzer, the borrow checker, helped reduce developers' cognitive burden by enforcing ownership invariants across complex programs. Deepgram transitioned to Rust for their platform, resulting in significant performance gains and improved product experience.