Security
Access control, data protection and human oversight designed in from the start.
Technology
Technology That Supports the Product
We choose technology based on the problem being solved rather than forcing every product into the same technical stack.
Our engineering approach combines cloud architecture, modern APIs, data platforms and artificial intelligence while keeping security, maintainability and operational cost in mind.
Technology categories
Artificial Intelligence
Language models and retrieval applied where they measurably improve a workflow.
- Large Language Models
- AI Agents
- Retrieval-Augmented Generation
- Intelligent document processing
- AI-assisted workflows
- Machine learning where appropriate
Cloud
Managed cloud services chosen for reliability, scale and predictable operating cost.
- Microsoft Azure
- AWS
- Serverless architecture
- Containers
- Cloud-native services
Software
Proven languages, frameworks and data platforms for systems built to last.
- .NET
- TypeScript
- React
- Astro
- REST APIs
- PostgreSQL
- SQL databases
Mobile
Cross-platform mobile applications that share a single, maintainable codebase.
- Flutter
- Cross-platform application development
Technology is selected per product. Not every Arclen AI product uses every technology listed here.
Decisions
What guides a technology choice
Every stack decision is a trade-off. These are the three we weigh most carefully.
Maintainability
Systems a team can still understand, extend and operate several years from now.
Operational cost
Architecture chosen so running the system stays proportionate to the value it creates.
Have a technical decision to make?
If you are weighing an architecture, a platform or where AI genuinely fits, we are happy to talk it through.