AI solutions
From consuilting and discovering the most suitable options to imeplentation strategy and post-development support - we back you on all steps
我们的服务
Adding AI to existing software should solve actual business problems, Whether you need custom LLM workflows, automated data processing, or intelligent internal tools, we focus on practical implementation. We handle the model selection, pipeline architecture, API integrations, and system monitoring so your AI features run fast, remain accurate, and don't inflate your cloud costs.
选择最适合您的方案
Building reliable AI features for production relies on solid engineering. We evaluate your current software, privacy requirements, and expected usage to help you decide whether to use commercial APIs, host open-source models, or stick with standard code to keep cloud costs low.
We handle the entire technical setup. Our team connects your apps to model APIs, builds retrieval systems (RAG) so models can securely query your internal files, and creates automated pipelines for document processing and data entry. When standard tools fall short, we fine-tune custom open-source models on your proprietary datasets and deploy them directly on secure private infrastructure.
Throughout the project, we monitor system performance and optimize token usage to keep your app fast and monthly hosting bills completely predictable. We set up real-time error tracking, manage context windows to avoid unnecessary API charges, and handle continuous prompt updates so your output accuracy stays high as traffic grows. From launch day through long-term maintenance, we keep your AI setup running reliably behind the scenes.
