# RainbowMonkey Tech (虹猿科技)

> Enterprise AI consulting firm based in Taipei, Taiwan. We help organizations operationalise agentic AI with MCP (Model Context Protocol), Agent Skills, multi-agent orchestration, and context engineering — balancing governance, speed, and measurable impact across Taiwan, Hong Kong, and Singapore.

RainbowMonkey Tech (虹猿科技有限公司) was founded in 2023 in Taipei, Taiwan. We partner with enterprises to move beyond pilot-stage LLM experiments into production-grade agentic systems: governed, observable, and aligned with ISO 27001 and GDPR/PDPA requirements.

Our 2026 practice centres on **Agentic AI Engineering** — designing multi-agent workflows with MCP 2026-07-28 (stateless transport), Agent Skills for composable capability modules, and the A2A (Agent-to-Agent) protocol for cross-system agent collaboration. We combine GraphRAG, context engineering, and open-weight models (Llama, Mistral, Qwen) with frontier APIs (Claude, GPT, Gemini) on AWS Bedrock, Azure OpenAI, and GCP Vertex AI.

Contact: contact@rainbow-monkey.cc

## Pages

- [Home](https://rainbow-monkey.cc/): Company overview, service tracks, case studies, and engagement options
- [Solutions](https://rainbow-monkey.cc/solutions): Three service modules — Strategy & Governance, Agentic AI Engineering, Platform & Operations
- [Company](https://rainbow-monkey.cc/company): Mission, milestones, leadership, and culture
- [Tech Articles](https://rainbow-monkey.cc/articles): Technical blog on MCP, RAG, MLOps, and agentic patterns
- [Team](https://rainbow-monkey.cc/departments): 24 members across 6 departments with individual profiles
- [Insights](https://rainbow-monkey.cc/insights): Research briefs and industry analysis
- [Live Data](https://rainbow-monkey.cc/live-data): Real-time data widgets and API integrations
- [FAQ](https://rainbow-monkey.cc/faq): Common questions on engagement, pricing, and compliance
- [Privacy Policy](https://rainbow-monkey.cc/privacy-policy): GDPR/PDPA-aligned data handling practices

## Services

- [AI Strategy & Governance](https://rainbow-monkey.cc/solutions): Executive alignment on AI ambition, risk appetite, KPIs, and responsible AI frameworks
- [Agentic AI Engineering](https://rainbow-monkey.cc/solutions): MCP servers, Agent Skills, A2A multi-agent orchestration, GraphRAG, and context engineering
- [AI Platform & Operations](https://rainbow-monkey.cc/solutions): MLOps with MLflow, Kubernetes, LangGraph, CrewAI, OpenTelemetry, drift detection, and continuous optimisation

## Technology

- **Agentic stack**: MCP 2026-07-28 (stateless), Agent Skills, A2A protocol, LangGraph, CrewAI, multi-agent orchestration, context engineering, GraphRAG
- **Cloud**: AWS (Bedrock, SageMaker), Azure (OpenAI, ML), GCP (Vertex AI)
- **AI models**: Claude, GPT, Gemini; open-weight — Llama, Mistral, Qwen
- **Platform**: Docker, Kubernetes, MLflow, OpenTelemetry, FastAPI, PostgreSQL, Redis, Elasticsearch
- **Languages**: Python, TypeScript, Rust

## Team

- [Departments](https://rainbow-monkey.cc/departments): 24 members across 6 departments — R&D Engineering, AI Application Planning, Experience & Design Research, Data & Platform Engineering, Information Security Lab, Program Management & Customer Success
- [Hung-Yuan Luo (CEO)](https://rainbow-monkey.cc/team/hung-yuan-luo): AI Strategy & Governance lead
- [Lynn](https://rainbow-monkey.cc/team/lynn): Senior Full-stack Engineer, agentic platform architecture
- [Kai](https://rainbow-monkey.cc/team/kai): ML Ops Engineer, model lifecycle and observability
- [Elena](https://rainbow-monkey.cc/team/elena): Data Streaming Specialist, real-time event pipelines

## Standards & Compliance

- ISO 27001 aligned security practices
- GDPR and PDPA compliant data handling
- WCAG 2.1 AA accessibility
- ESG reporting support

## Engagement Models

- 8-week advisory sprint: strategy, readiness assessment, and roadmap
- 12–16 week co-creation project: agentic prototype to production handoff
- Annual managed service: platform operations, monitoring, and continuous improvement