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The Digital Workforce
Orchestrating
Intelligence.
Stop building chatbots. Start building a workforce. We engineer Agentic AI systems where autonomous agents reason, plan, and execute complex workflows—replacing full-time employee feedback loops with instant machine-speed execution.
Internal Dogfooding: At Galang, every assistant is an autonomous agent. Equipped with Anthropic's Model Context Protocol (MCP) and dynamic skill sets, our agents self-learn new capabilities daily.
OpenClaw Deployment Service
Deploy a production-ready AI agent in 2–4 weeks. Proven platform. 24/7 operation.
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Swarm Architecture
One agent is a tool. A swarm is a department. We use a hierarchical orchestration pattern where a "Manager" agent breaks down high-level goals and delegates tasks to specialized "Worker" agents.
Manager Agent
Plans, Delegates, Reviews
Coder Agent
Writes, Tests, Deploys
Research Agent
Browses, Synthesizes, Cites
Outcome
"Build me a Landing Page"
Planning...
Executing...
Skill Acquisition (MCP)
Tools aren't hardcoded. Our agents use the Model Context Protocol (MCP) to dynamically "read" API documentation and acquire new skills (Skills.md) in real-time.
Self-Healing Loops
Agents encounter errors. Ours fix them. By analyzing stack traces and reasoning through error messages, they patch their own code or retry strategies without waking you up.
Systems of Action
Not just chat. These agents carry "wallets" of permissions—allowing them to access databases, deploy code, send emails, and manage infrastructure autonomously.