Longshot Systems was born from a realization in the sports betting industry: the difference between success and failure comes down to milliseconds and data quality. Founded in 2016, the company set out to build trading infrastructure that could handle thousands of signals per second with minimal latency - a challenge more commonly found in high-frequency trading than sports betting. What started as a small team of engineers and quantitative researchers has evolved into a sophisticated operation that combines machine learning, distributed systems, and deep domain expertise to deliver actionable betting insights.
Today, Longshot Systems operates at the intersection of sports analytics and trading technology. Their platform normalizes odds data from bookmakers and exchanges worldwide, processing massive volumes of real-time information to identify trading opportunities. The team has built core systems in Golang for performance-critical components while leveraging Python for their machine learning stack, using tools like Polars, Ray, and Plotly for data processing and visualization. With a hybrid working model from their London office in Farringdon, they maintain a culture of technical excellence where engineers and researchers collaborate closely on everything from infrastructure optimization to predictive model development.
