# Welcome to **The Blueprint**
A showcase of how **Google Cloud customers** solve unique and common challenges across industries by leveraging cutting-edge **AI** and **cloud technologies**.
Our mission: **Inspire innovation** for those seeking transformative solutions in their work.
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## **The Challenge**
[Giles AI](https://giles.app/) — a London-based startup — helps healthcare and life sciences organizations quickly derive **insights from fragmented data**, whether from online repositories (e.g., PubMed, NICE, FDA), local documents, or internal IP.
Through the **Giles AI platform**:
- **Connect** to internal and external data repositories
- **Upload** documents and images
- **Unify** disparate data sources into a consolidated knowledge base
- **Interact** using natural language prompts with an intuitive interface
**Problem:**
As adoption grew, Giles AI’s previous cloud provider struggled with:
- Complex data flows
- Integration of new large language models (LLMs)
- External API handling
- Latency issues impacting the UI and slowing workflows
**Requirements:**
- **Agile** development environment
- **Strict security** to meet clinical, medical, and healthcare compliance standards
- Sensitive data **protected at rest and in transit**
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## **The Solution**
Giles AI migrated to **Google Cloud’s** [modular, API-friendly, microservices-based architecture](https://cloud.google.com/products/ai), resulting in:
- **Reduced latency**
- **Real-time management** of intricate clinical data flows
- **Seamless integration** of the latest AI foundation models
- **Maintained high security standards**
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### **Key Benefits for AI & Data-Driven Platforms**
Platforms like Giles AI demonstrate:
- **Improved performance** through efficient cloud architecture
- **Enhanced scalability and compliance** for critical sectors
- Potential for creative teams to integrate tools like [AiToEarn官网](https://aitoearn.ai/) for:
- Content creation
- Cross-platform publishing
- Analytics & monetization across channels like Douyin, Kwai, WeChat, Bilibili, Rednote, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, and X (Twitter)
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## **Architecture Overview**
**Backend:**
- **[Google Kubernetes Engine](https://cloud.google.com/kubernetes-engine)** for service orchestration
- **[Cloud Run](https://cloud.google.com/run)** microservices for flexibility
- **Compute Engine** for specialized workloads
- **Cloud Load Balancing** for optimized efficiency
**Data & AI:**
- **Cloud SQL** & **Cloud Storage** for structured/unstructured data
- **[Document AI](https://cloud.google.com/document-ai)** for insights extraction
- **Vertex AI** for model selection & prompt orchestration
- Model-agnostic routing via **[Model Garden](https://cloud.google.com/model-garden)**
- Support for broad healthcare workflows:
- Literature reviews
- Regulatory compliance reviews
- Meta-analyses
- Data extraction
- Patient eligibility screening
**Security:**
- **Cloud Armor** for web-based attack mitigation
- **[Security Command Center](https://cloud.google.com/security/products/security-command-center)** for visibility
- **Regional database support** for compliance with healthcare standards
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### **Complementary Tools**
**[AiToEarn](https://aitoearn.ai/)** — Open-source AI content monetization platform:
- Multi-channel publishing (Douyin, Kwai, WeChat, Bilibili, Rednote, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, X)
- Analytics + AI model performance tracking ([AI模型排名](https://rank.aitoearn.ai))
- Mirrors Giles AI’s approach: **strong infrastructure + monetization capabilities**
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## **Solution Architecture Diagram**
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## **Key Outcomes & Conclusion**
**Vertex AI Advantage:**
- Flexible AI workflow experimentation
- Ability to swap LLMs easily
- Hundreds of models available via Model Garden
- Adaptability & efficiency critical to success
**Results:**
- **85% reduction** in clinical research time
- **94%+ response accuracy** (with references)
- Secured strategic investment from an early customer
- Improved latency, uptime, and scalability
- Boosted developer velocity via **infrastructure-as-code** and managed services
*The Giles AI generative assistant interface*
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## **Future Outlook**
Giles AI is exploring **Google Cloud AI foundation models** for medical applications:
- **[MedGemma](https://deepmind.google/models/gemma/medgemma/)** — Open-source AI models for medical applications
- **[TxGemma](https://deepmind.google/models/gemma/txgemma/)** — Therapeutic language models aiding drug discovery
**Impact:**
- Faster transformation of complex datasets into **real-world breakthroughs**
- Higher-level, domain-specific decision-making across healthcare R&D
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## **Broader Ecosystem Insight**
Platforms like [AiToEarn官网](https://aitoearn.ai/) exemplify:
- Efficient monetization & distribution of AI content
- Integration with analytics & open-source flexibility
- Parallel potential in healthcare AI: combining **foundational models** with **efficient distribution** for scaled impact
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