What we build with
The technologies we work with day to day. Choices follow what a project actually needs rather than what is newest, and source code and deployment docs are handed over at the end.
AI & LLM Integration
Connecting language models to existing workflows: knowledge-base Q&A, document extraction, support assistance. Cloud APIs or self-hosted on your own servers.
Frontend & Clients
Web sites, WeChat and Douyin mini programs, iOS and Android apps, desktop clients. Export-facing sites are built for multi-language and structured data.
Backend & APIs
Go for the main services, Python for data and algorithm work. APIs defined as REST or gRPC, with WebSocket where realtime is needed.
Data & Storage
Relational databases for business data, caching for read load, and separate storage for logs and analytics so they stay off the primary database.
Deployment & Operations
Containerised deployment with automated build and release on commit. CDN and WAF in front, with monitoring and scheduled backups on servers and databases.
Payments & Integrations
Domestic and cross-border payment channels, login and permission systems, and integrations with ERP, logistics and hardware.
Not sure which stack fits?
Tell us about the project and where it currently stands, and we will suggest an approach with a rough timeline and budget range.