01 · AGENT
Custom AI Agent development
AI employees designed for your specific workflows that reason, call tools, and correct themselves.
- Multi-step task planning with ReAct / Plan-and-Execute architectures
- Tool use: databases, APIs, browsers, code interpreters
- Long- and short-term memory & user profiles
- Multi-agent collaboration and task delegation
- Evaluation-set-driven quality assurance
02 · LLM WIKI
LLM Wiki · living knowledge base
Move beyond stale RAG. Following the LLM Wiki paradigm proposed by Karpathy, we let the model actively maintain a company wiki that grows on its own — not stitched together on every query, but synthesized once and reused continuously.
- Raw sources kept immutable and fully traceable
- LLM-synthesized wiki pages: cross-document references, deduplication, conflict correction
- Ingest / Query / Lint operating modes with continuous self-checking
- Multi-source ingestion: Slack, Microsoft Teams, Confluence, Notion, PDF, email
- Permission tiers + citation traceability — compliant and auditable
03 · CUSTOMER
AI customer service agent
Not a FAQ bot. A "digital coworker" that remembers customers, reaches out proactively, and can cross-sell.
- Omnichannel: web chat, WhatsApp, Slack, and e-commerce platforms
- Long-term memory recognizes returning customers
- Sentiment awareness with smart fallback before human handoff
- Outbound outreach / satisfaction follow-ups
- Conversation analytics and sales-lead mining
04 · AUTOMATION
Workflow automation
Hand the low-value, high-repetition work — reporting, approvals, contracts, recruiting, data cleanup — to AI.
- Hybrid LLM + RPA orchestration for processes with unstructured information
- Native integration with Slack, Microsoft Teams, Google Workspace
- Event-driven, with scheduled and triggered runs
- Observable, reversible, auditable
- Per-process or pay-for-performance pricing
05 · DEPLOY
Private LLM deployment
A data-stays-in-house, compliant, controllable LLM solution that runs in your own data center or private cloud.
- Full-stack support for Qwen / DeepSeek / GLM / Llama / Mistral
- Runs on your own NVIDIA / AMD GPUs and domestic accelerators
- SFT fine-tuning + LoRA + distillation — up to 80% cost reduction
- Inference acceleration: vLLM / SGLang / TensorRT-LLM
- K8s + multi-tenancy + canary releases
06 · CONSULTING
AI strategy consulting
Before you build, get clear on the "why, what, and how."
- AI use-case scanning and value ranking
- ROI modeling and a delivery roadmap
- Org and talent recommendations
- AI compliance, data and security assessment
- Executive workshops & internal training
