Government
A policy and service agent for public-facing teams.
- Policy Q&A and interpretation
- Document drafting assistance
- Service guidance and multilingual service
PRACTICE / AGT
AI Agents
Industry agents built on your corpus, connected to your tools and deployed under your permissions. English, Traditional Chinese and the languages your sites actually use.
TECHNOLOGY
How it works
Industry-specific agents built on a large language model. The platform supports a private RAG knowledge base, tool calls, multi-turn dialogue, multilingual service and permission audit. Start with a cloud API and scale to a local GPU cluster as concurrency grows.
- LLM-based industry agent
- Private RAG knowledge base
- Tool calls and system integration
- Multi-turn, multilingual, permissions and audit
- Cloud API start; local GPU scale-out
WHERE IT FITS
E-commerce
A service and content agent for commerce operations.
- Intelligent customer service and after-sales automation
- Product selection and price comparison
- Marketing copy at volume
Film & media
A research and production assistant for media teams.
- Script creation support
- Storyboard generation and asset search
- Release content at volume
SOFTWARE & HARDWARE CONDITIONS
What the deployment needs
We deploy these systems inside the client environment. The list below is a typical starting point; the final bill of materials is scoped per site and per operating model.
CategoryConditionReference configurationPurpose
SoftwareLLM inference serviceLocal deployment or cloud APIConversation and knowledge-answering base
SoftwareAgent platform + vector knowledge baseRAG retrieval, multi-turn orchestration, permissions and auditCreate and manage industry agents
HardwareGPU inference server8× 32GB VRAM for high concurrency / single-GPU startModel inference
HardwareApplication server + storage16 cores / 64GB / 2TB+Platform hosting and data
HOW WE DEPLOY
How we deploy it
Knowledge
Corpus audit, permissions and retrieval design.
Tools
Connect the systems that hold the action.
Interface
Web, app, counter or internal workspace.
Operation
Evaluation, training and a review routine.
DEPLOYMENT NOTES
- Small deployments can start on a cloud API and scale smoothly to a local GPU cluster. The final configuration is scoped by concurrency and data-residency requirements.
START A CONVERSATION
Tell us what has to work
Send the site, the systems already in place, the timeline and what cannot fail. We reply within one business day.
Email the team