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Air Space Intelligence Tech Stack
AI platform for mission-critical operations and airspace management
Air Space Intelligence builds decision-support systems for defense and critical infrastructure, with a heavy emphasis on real-time trajectory prediction and airspace coordination. The tech stack—Kafka, Flink, Spark, Airflow, Temporal, TensorFlow, PyTorch—reflects an infrastructure-first architecture built for streaming data fusion and ML inference at scale. Active hiring skews heavily toward backend engineering and data roles, with current scaling challenges around 10x load and real-time optimization, suggesting the company is past proof-of-concept and moving into operational deployment.
Tech Stack 50 technologies
Core StackKafka Apache Flink Apache Spark Apache Airflow Dagster Temporal gRPC GraphQL Kubernetes Rust Python React Redux TypeScript JavaScript AWS Docker Terraform Grafana Prometheus Helm CircleCI PostgreSQL TensorFlow PyTorch scikit-learn XML Protocol Buffers Mapbox Graphite+20 more
What Air Space Intelligence Is Building
◆Challenges
- Modernizing air traffic control system
- Real-time optimization of flight coordination
- Data fusion at operational scale
- Improving data flows for decision-making
- Debugging data anomalies
- Ensuring successful delivery to customers
- Expanding footprint in energy sector
- Delivery success
- Scaling infrastructure for 10x load
- Expanding footprint in defense
▲Active Projects
- Next-generation trajectory prediction and decision-support systems
- Reality layer for defense products
- Data pipelines for mission systems
- Preparing airspace for commercial space operations
- Scaling infrastructure for 10x load
- Building dashboards for critical alerts
- End-to-end growth strategies
- Building relationships with government agencies
- Flight trajectory monitoring and prediction system
- Real-time flight trajectory monitoring platform
Hiring Activity
25 roles · 15 in 30d
Department
Seniority
Notable leadership hires: Backend Lead
Company intelligence
