REKAIT.AI
Của REKAIT.AIRekait is a visual platform for building and iterating on AI agents and workflows. Unlike typical drag-and-drop workflow automation tools, Rekait is designed for both humans and AI agents to collaborate, with Python as the main execution environment. Developers and product experts can collaboratively refine LLM outputs, integrate with external systems like databases and APIs, and run local models or custom code alongside cloud models. This lets teams rapidly prototype, tweak, and deploy production-ready AI systems without backend infrastructure complexity.
- Giai đoạn
- Đang thí điểm
- Ngành
- Y tế
- Ngân hàng và tài chính
- Sản xuất
- Triển khai
- Đám mây (SaaS)
Giá trị mang lại
Rekait is an agentic workflow builder, a visual Python-native platform where humans and AI agents refine LLM outputs, integrate with external systems, and deploy production-ready AI.
- Slow and inefficient iteration – refining LLM outputs today requires endless back-and-forth between developers and product experts instead of a shared, collaborative workflow.
- No agentic workflow builders – existing tools rely on drag-and-drop UIs; they don’t let users chat with an agent to build, adjust, or diagnose workflows directly.
- Limited extensibility – most platforms don’t support running local models, executing arbitrary Python code, or integrating easily with external systems like databases and APIs.
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- Partnered with Junggye Primereaders Seoul, a leading ESL institution in Seoul — generating custom ESL workbooks and lesson materials for their individualize curriculum for students at every level.
Key Milestones Achieved: • Enterprise Pilot Launched: Partnered with Korean English Institute for a 50+ page document generation workflow with structured feedback. • Prototype Validated: Manual feedback loop demonstrated iterative improvement with real customer documents.