About us
Applied Agentic Limited
Institutional-grade agentic AI for capital markets and regulated industries. Built by practitioners, not consultants. Based in Hong Kong.
What we do
We design, build, and operate multi-agent AI systems that automate complex analytical workflows — equity research, risk monitoring, supply chain intelligence, and regulatory compliance. Our agents don't just answer questions; they reason, plan, and execute.
Multi-agent research
Four-persona investment committee — macro regime (Athene), technical (Delta), fundamental (Granite), and contrarian (Caymen) — producing institutional-quality equity analysis with structured scorecards, scenario trees, and earnings flow models.
Agentic workflows
End-to-end automation of document processing, data extraction, and compliance monitoring — built on production-grade orchestration frameworks.
Alt data & signals
SEC EDGAR network analysis, COT positioning data, prediction-market signals, and supply chain intelligence — all integrated into a single operational view.
Consulting & advisory
Strategic guidance on AI adoption, agent architecture, and production deployment for financial institutions and regulated industries.
Who we are
Applied Agentic Limited was founded in Hong Kong with a simple thesis: the future of knowledge work is agentic. Not chatbots. Not copilots. Autonomous systems that can reason over complex data, plan multi-step strategies, and execute with precision.
Our team combines deep expertise in quantitative finance, machine learning, and software engineering. We've built production systems that process millions of data points daily, generate institutional-quality research, and operate within the guardrails required by regulated industries.
Meet the leadership team → — bios, intro videos, and founder card.
Our approach
- Practitioner-built: Every system is designed and operated by people who understand both the technology and the domain.
- Production-first: Client engagements run in production with monitoring, guardrails, and audit trails. Public walkthroughs on this site are sanitized illustrations of those systems.
- Protocol-native: Built on open standards (MCP, A2A) for interoperability and vendor independence.
- Transparent: All research includes source verification, confidence scores, and falsification criteria.
How we work
We start with a scoped pilot, typically 4–8 weeks, to prove the workflow before scaling. Consultation tiers are on pricing; enterprise engagements are scoped after discovery.
Location
Headquartered in Hong Kong. We work with clients locally and internationally across capital markets, asset management, and regulated industries.