Solutions

Unified Speech-to-Text Gateway

Core components:GCP Apigee

Underlying support:GCP Cloud Functions (for logic distribution)

Solution Description:To address the varying needs of businesses regarding speech recognition accuracy and cost in different scenarios, and considering the limited service quotas on different cloud platforms, we have built a unified entry point based on the GCP API Gateway.

  • Multi-cloud aggregation:Access Google Cloud Speech-to-Text, AWS Transcribe, and Azure Speech Service simultaneously through a single API interface.
  • Automatic intelligent routing: Automatically route requests to the best-performing underlying platform based on language, audio quality, or response speed.
  • Unified authentication and billing: Developers do not need to manage multiple platform keys; unified security authentication and traffic monitoring are handled through the GCP gateway.

Enterprise-grade large language model aggregation gateway

Core components:Global HTTP(S) Load Balancer,Managed Instance Groups,Instance Template,Cloud Memorystore,Cloud SQL

Underlying support:New API

Solution Description:Solution Description: To address the complexity of integrating multiple AI providers and the challenges of managing varying API protocols, we have developed a unified aggregation layer. Built on an elastic server architecture, this solution provides a standardized interface for top-tier LLMs including Gemini, GPT, and Claude,…LLMs, ensuring enterprise-grade scalability and cost-efficient AI operations.

  • Unified API Protocol: Standardizes disparate LLM interfaces into a single OpenAI-compatible API, allowing developers to switch between models (e.g., Gemini to Claude) without modifying application code.
  • Elastic Scaling & High Availability: Leverages GCP Managed Instance Groups (MIG) to automatically scale compute resources based on real-time traffic, ensuring low-latency responses even during peak demand.
  • Intelligent Quota & Cost Management: Utilizes Cloud SQL and Redis to track token usage, manage user-level quotas, and implement response caching, significantly reducing operational costs and preventing budget overruns.
  • Enterprise Governance & Security: Centralizes API key management via Secret Manager and provides comprehensive audit logs, enabling fine-grained access control and compliance monitoring across all AI interactions.
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