One-stop Portal to Learn, Build, and Outsource AI Agents

We highly recommend starting with our 'Low-Code Workflow Automation' or 'AaaS (Agent-as-a-Service)'. The former lets you validate the power of AI automation at a fraction of custom dev costs. The latter is purely results-based—no upfront software investment required, you only pay for tangible business outcomes (like Leads).

We customize commercial-friendly open-weight models like DeepSeek-R1, Qwen-2.5-Instruct, and Llama-3.1. Model selection depends on your needs: for heavy logical reasoning (e.g., finance, coding, complex decision-making), we recommend DeepSeek-R1; for general customer support or text classification, lightweight models like Qwen or Llama offer high cost-efficiency.

RPA acts like 'hands and feet without a brain' and can only execute hardcoded, rule-based steps (e.g., clicking a specific button; it breaks when format changes). An AI Agent possesses an 'LLM brain,' allowing it to comprehend natural language intent, reflect, plan, hold memories, and make decisions to handle unstructured, dynamic tasks.

Yes. If your system lacks web APIs, we have two approaches: first, use the Model Context Protocol (MCP) to securely read underlying files or databases (e.g., MySQL, SQL Server) directly; second, employ browser automation scripts to scrape page information. If a human can see and interact with it, we can technically enable the Agent to process it.

While a literal 100% replication is physically impossible, by collecting 20+ pieces of your writing (articles, emails, chat logs) and using few-shot prompting or fine-tuning, the digital twin can achieve over 90% similarity in wording habits, catchphrases, and perspective. It easily passes standard business email and customer screening tests.

Our building and hosting is a one-time project fee. Upon delivery, we hand over all source code, Dify workflows, prompts, and documentation to you. You have full ownership. If you require future upgrades, new integrations, or parameter tuning, you can hire us on a per-task or per-project basis. We never bundle hidden subscriptions or annual fees.

It depends on the size of the model. Running lightweight models (7B/8B parameters like Qwen or Llama) only requires a consumer GPU (e.g., RTX 4060 Ti 16GB or 4090). For heavyweight reasoning models (e.g., DeepSeek-R1 70B/671B), multiple enterprise-grade GPUs (e.g., NVIDIA H20, A100) or hybrid hosting services are required. We provide a detailed hardware sheet in our proposals.

We implement multiple safety guardrails: first, pre-processing validation and post-execution LLM quality check (using a secondary model as an auditor); second, conditional routing where low-confidence agent outputs are flagged and routed to humans; third, strict instructions (e.g., 'answer strictly using the retrieved context'). This keeps automated processes strictly under control.

All corporate training courses are fully customized. Prior to the sessions, we audit your industry, tools, and pain points to use your actual daily tasks (e.g., writing trade emails, contract reviews, web scraping) as hands-on workshop cases. We avoid abstract jargon and focus purely on teaching staff how to resolve daily tasks with AI.