AI simulation and optimization software for aviation and defense operations
ASI builds decision-support software for airspace and defense operations, centered on flight trajectory prediction, real-time coordination and data fusion. Its stack pairs Rust and Python with Apache Beam, Dataflow and Pub/Sub for streaming pipelines, plus PyTorch, TensorFlow and MLflow for modeling, and Mapbox/MapLibre for geospatial UIs. Hiring is accelerating and engineering-heavy with many lead-level roles, while FedRAMP and DoD compliance surface as a recurring pressure.
Notable leadership hires: Technical Lead, Backend Lead
ASI is a privately held, dual-use software company founded in 2018 and headquartered in Boston, MA, with 51–200 employees. It serves both commercial and government customers, spanning critical infrastructure and defense. Its platforms help operators simulate their domain, forecast risk and optimize operations and logistics, with a strong focus on aviation and air traffic. The company hires in the United States and Poland across engineering, data, sales, support and product.
ASI uses Rust, Python, TypeScript, React and Redux, runs on AWS with Kubernetes, Docker, Terraform and Helm, and uses Apache Beam, Dataflow, Pub/Sub, PyTorch, TensorFlow, MLflow and LangChain for data and ML.
Job posts point to flight trajectory monitoring and prediction, decision-support systems, data pipelines for mission systems, a reality layer for defense products and preparing airspace for commercial space operations.
ASI hires in the United States and Poland. Hiring is accelerating and weighted toward engineering, including Technical Lead and Backend Lead roles, with smaller openings in data, sales, support and product.
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ASI's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.