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SandboxAQ Tech Stack
AI-powered security and quantitative modeling for enterprise and defense
SandboxAQ builds AI security frameworks and Large Quantitative Models targeting life sciences, financial services, and national security sectors. The tech stack is heavily systems-oriented (C/C++, Rust, Kubernetes, Kafka) rather than typical ML-heavy, and the hiring mix is dominated by security (15 roles) and research (5), with only 2 sales headcount — a pattern consistent with a defense/compliance-first company selling through direct channels and integrations rather than self-serve adoption.
Tech Stack 27 technologies
Core StackPython React Kotlin Go Rust JavaScript TypeScript LangChain TensorFlow PyTorch Java C++ Kubernetes Kafka Docker AWS Terraform C/C++ Hugging Face Transformers JAX GCP CI/CD Ethernet CAN DO-178C Git GNSS
AdoptingC++
ReplacingPython
What SandboxAQ Is Building
◆Challenges
- Massive data transformations
- Compliance with federal standards
- Patch cycles
- Seamless connectivity with enterprise security platforms
- Secure reliable integrations
- Improving time-to-value
- Reducing onboarding friction
- Meeting fda regulatory requirements
- Sensor performance trade-offs
- Scaling sales team
▲Active Projects
- Ai security frameworks and red teaming tools
- Core engines for asset discovery and code intelligence platforms
- Static analysis framework for enterprise codebases
- Ai security future development
- Client contract delivery
- Scientific logic framework
- R&d workflow automation
- Visualization tools and dashboards for ai vulnerability surfaces
- Aqtive guard platform
- Reference architecture development
Hiring Activity
35 roles · 10 in 30d
Department
Seniority
Company intelligence
