QoderWake

Jarmin builds AI employees for human-level roles that become part of a team’s day-to-day workflow. Each AI employee is assigned a role and responsibilities, learns how the company operates, understands internal processes and performance standards, and works inside the tools and systems the role actually uses. It can own work independently within an agreed scope, produce reviewable output, send status updates, take feedback from anyone on the team, and escalate decisions that require human judgment. Organizations can deploy AI employees for roles such as ML engineer, financial analyst, account executive, compliance analyst, data analyst, project manager, and paralegal, or configure a custom role. Jarmin also supports managed AI and ML engineering, including models trained or fine-tuned on company data, domain-specific reinforcement learning environments, evaluations against benchmarks, production-ready agents, automated multi-step workflows, and agentic search over internal data.

Wukong is an enterprise-grade AI work platform from DingTalk that is designed to move AI from simply answering questions to actually delivering work. Users describe what they need, and Wukong can call tools, use skills, and push tasks forward to a finished result. Rather than functioning only as a chat assistant, it acts as an execution partner that can directly operate DingTalk applications such as documents, calendars, and approvals, turning natural-language instructions into concrete actions. Deep integration with the DingTalk ecosystem keeps work synchronized across phones, tablets, and computers, so users can start a conversation and manage progress from the office or while on the move. A built-in Skills Center provides ready-made capabilities for scenarios including document processing, data analysis, and presentations, while users can also upload their own skills to customize the assistant for specialized workflows.