Backend and API
Spring Boot, FastAPI, and service-oriented architectures can support secure integration, business rules, and data access layers.
Technology
A technology ecosystem evaluated by enterprise scenario
Technology choices are considered according to data type, scale, security, maintenance model, and integration needs.
Architecture approach
Application, data, and AI layers are designed together
The goal is not to force a single product, but to evaluate technology components in the right combination for each enterprise's security, data, integration, and operational constraints.
Frontend and experience
Astro, Angular, and modern web approaches support fast, maintainable interfaces suitable for enterprise use.
Data and AI infrastructure
PostgreSQL / PGVector, vector database technologies, and S3-compatible object storage can be evaluated together by scenario.
Technology ecosystem
Infrastructure components evaluated by scenario
Technology names are referenced only in the context of architecture evaluation and integration scenarios. No official partnership, reseller, or distributor status is implied unless explicitly stated.
- Spring Boot
- Angular
- Python
- FastAPI
- PostgreSQL / PGVector
- Qdrant
- Weaviate
- Milvus
- MinIO / S3-compatible storage
- Docker
- Cloud architecture
- On-premise architecture
Enterprise discussion
Discuss your AI, document intelligence, or data infrastructure needs
Mansel works on practical solution approaches that consider real data, security, and integration constraints from the first phase.