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SB Intuitions Tech Stack
Japanese-language LLM research and development with production ML infrastructure
SB Intuitions is a public R&D company building large-language models optimized for Japanese. The tech stack reveals deep ML infrastructure maturity: vLLM, SGLang, TensorRT-LLM for inference optimization; Kubernetes, Docker, Terraform, CloudFormation for orchestration; and multi-cloud deployment across GCP, AWS, Azure. The project backlog—Sarashina model deployment, petabyte-scale data management, multi-datacenter integration, and incident response—maps directly to the pain points (LLM scaling, data governance, network security), indicating an organization moving from research prototype to production systems.
Tech Stack 32 technologies
Core StackAWS Intune Terraform Go Rust Java Scala Kotlin C++ TypeScript gRPC Python Kubernetes Docker Hadoop Apache Spark Ansible CloudFormation GCP Azure Jamf Haskell OAuth 2.0 OIDC Public Key Infrastructure MLOps vLLM SGLang TensorRT-LLM Kaggle+2 more
What SB Intuitions Is Building
◆Challenges
- Model performance optimization
- Security operations improvement
- Scaling llm performance
- Building incident response
- Petabyte-scale data management
- Multi data center integration
- Data governance and security
- Scalability and high availability for large-scale distributed systems
- Turning model value into user value
- Ensuring network security
▲Active Projects
- System to translate sarashina model value to user value
- Incident response system implementation
- Security policy governance rollout
- Risk assessment compliance program
- Development process design and productivity improvement
- Sarashina value conversion system
- Distributed data management system using s3
- Monitoring and alerting system design
- Ci/cd pipeline construction
- Storage integration layer across multi data centers
Hiring Activity
15 roles · 7 in 30d
Department
Seniority
Company intelligence
