Mission

At AGICTO, we believe artificial intelligence, especially large language models, can amplify human capability. Our mission is to make LLM application development simple, efficient, and accessible to everyone.

Vision

We aim to empower millions of developers and businesses to harness model capability with ease. Our flexible platform and tailored solutions lower adoption barriers and drive growth.

Positioning

AGICTO is a full-stack AI development platform and ecosystem that helps teams build and deploy quality AI applications quickly.

We provide:

  1. A rich model catalog
  2. Powerful developer tools
  3. Multimodal support
  4. Easy-to-use application components
  5. Low-code AI capabilities
  6. Ready-to-use solutions such as support systems and RagCTO
  7. A unified OpenAI-compatible SDK

Together, these cover the full AI application lifecycle.

With AGICTO, developers can access and evaluate a large model catalog, test quality in the Model Hub and Prompt Studio, integrate knowledge bases and agents, and speed up delivery with multimodal RAG-enabled applications.

What we have built

Phase 1: Build the AI infrastructure layer

We provide access to 1000+ mainstream models and built model calling, API key management, billing, and token analytics capabilities:

  • - Usage analytics
  • - Flexible billing management
  • - Unified and secure API key management

Phase 2: Build the model service center

We provide one-stop model exploration, selection, optimization, and management tools to improve testing and comparison.

  • - Model Hub for discovery and selection
  • - Prompt tools for optimization and management
  • - Upgraded playground for testing and comparison

What we are building now

Phase 3: Build the application center

We are building a rich and extensible application center to support a wide range of AI use cases.

  • - Knowledge bases with multi-source data integration
  • - Agents for conversational and task-driven workflows
  • - A plugin system for flexible feature extension

We are also open-sourcing RagCTO, an enterprise-grade project built on retrieval-augmented generation with complete knowledge management and intelligent support capabilities.

Roadmap

Phase 4: Build the AI ecosystem

  • - Expand AI business scenarios with industry solutions and best practices
  • - Improve the AI toolchain for the full development lifecycle
  • - Upgrade the AI SDK for better usability, performance, and platform support

Phase 5: Introduce an AI low-code platform

  • - Build a visual low-code platform for AI application delivery
  • - Provide reusable AI templates and component libraries
  • - Support customizable AI application development for specific business needs