Amarsia is a platform that allows users to build, deploy, and monitor AI features effortlessly as production-ready APIs. It enables startups, SMEs, and product teams to create AI capabilities without requiring AI engineering expertise, transforming businesses through frictionless prompt engineering.
The platform offers several key features including Conversation API for creating custom conversational chat AI with automatic conversation history storage, Knowledge Base (RAG) functionality that allows dragging and dropping files to give AI context, and a Powerful Playground for building complete AI workflows with AI Prompt Assistant, multi-model support, structured output (JSON schema), and WebSearch capabilities. The platform provides built-in version control for seamless model management and deployment.
Amarsia works by removing the complexity of SDKs, databases, and infrastructure typically required for AI chat features. Users can configure their AI through a dashboard and integrate it into products with a single API call, with all chat data stored automatically requiring only the conversation_id to be maintained.
The platform benefits users by eliminating backend setup requirements, enabling faster prompt iteration, and freeing engineering teams from continuous prompt engineering tasks. It's ideal for building AI chat features with memory and state management, making it suitable for low-code builders and product teams wanting to focus on core business objectives.
Target users include startups, SMEs, product teams, and low-code builders who need to implement AI features without extensive technical overhead. The platform integrates with various AI models and provides API-based deployment for easy integration into existing products.
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Amarsia is designed for startups, SMEs, and product teams who need to build AI features without requiring AI engineering expertise. The platform specifically targets low-code builders and organizations wanting to implement AI capabilities while freeing engineering teams from continuous prompt engineering tasks. It's ideal for teams focused on building AI chat features, recommendation algorithms, and search engines who want to avoid backend complexity and infrastructure management.