Reported impact
Business outcome
TechAgent simplified its data architecture, moved response times from tens of seconds to seconds, and greatly improved AI execution efficiency for enterprise research and strategy workflows.
- Productivity Improvement
- Speed to Market
Solution
Suwen Technology built TechAgent as an enterprise research and strategy platform that combines large-model reasoning with structured market and technology data. The platform continuously collects multi-source data, stores it on GaussDB and OBS instead of a patchwork of self-managed databases, and uses Huawei GPU resources to run LLM methods and custom AI models for NLP, knowledge-graph processing, search, and recommendation. On top of that data and model layer, Pangu model capabilities and NL2SQL let enterprise users ask natural-language questions and receive summarized analysis directly against the underlying data. HSS, Anti-DDoS, WAF, and CBR protect the web-delivered agent service, while the simplified architecture reduces operational burden. The end-to-end flow moves from data ingestion and storage, to model inference and knowledge processing, to interactive enterprise answers that help clients track market changes faster and turn raw industry signals into planning insight.
Data flow
TechAgent gathers multilingual market and technology data into GaussDB and OBS, then sends that data through GPU-backed NLP, knowledge-graph, search, and recommendation models. Pangu and NL2SQL convert user prompts into structured queries and summarized outputs that are returned through the web-delivered agent interface.