Startup Ideas AI

Transform audio, video, or voice memos into documents effortlessly

Zgi.ai is dedicated to simplifying the process of building Large Language Model (LLM) applications, making the innovation and implementation of future technologies effortless. It aims to provide developers and enterprises with the necessary tools and resources to turn dreams into reality, break through technical limitations, and achieve unprecedented possibilities. Zgi.ai envisions becoming the preferred platform for global developers and innovative enterprises, leading the future of large model technology. Through its one-stop LLM deployment platform, Zgi.ai aims to drive progress in the field of artificial intelligence, help customers overcome technical barriers, quickly move from prototype design to production implementation, and achieve rapid business development and value maximization. It offers an enterprise-grade AI development platform specializing in visual Agent workflow design, advanced RAG systems, and multi-Agent orchestration.

PaperLens is an AI-powered tool designed to help users explore and understand research papers. It allows users to search through millions of peer-reviewed papers using natural language queries and verify scientific claims with supporting evidence from arXiv, PubMed Central, and other leading academic databases. The platform combines cutting-edge AI technology with an intuitive design to streamline the research process.

RAGDrive.com is a No-Code On-Device AI with Voice & RAG. It is a user-friendly local AI inferencing solution. It allows users to 'talk' to their documents using Retrieval Augmented Generation (RAG) technology. Users can choose to operate completely offline and private or leverage inference providers when they need more computing power.

Ducky is a fully managed AI search infrastructure with RAG (Retrieval Augmented Generation) support. It's designed for developers who need fast and accurate search results. Ducky simplifies semantic search by handling the complexities of RAG, allowing users to focus on building applications. It offers seamless integration, simple pricing, and is fully managed.

RLAMA (Retrieval-Augmented Local Assistant Model Agent) is an open-source AI solution that integrates with local AI models to create, manage, and interact with Retrieval-Augmented Generation (RAG) systems. It allows users to build powerful document question-answering systems with multiple document formats, advanced semantic chunking, and local storage and processing.

Hakutaku is an AI-powered knowledge management platform designed to transform disorganized corporate knowledge into a structured, understandable, and useful resource. It connects data from various sources like Slack, Google Drive, and Notion to create a unified knowledge base. Using advanced Retrieval-Augmented Generation (RAG) technology, Hakutaku provides accurate answers to questions, understands context, and improves knowledge retention across an organization.

Epsilla is a no-code RAG-as-a-Service platform for building production-ready LLM applications connected with proprietary data. It empowers developers to build GenAI applications with state-of-the-art retrieval augmented generation capabilities. Epsilla offers a complete AI Agent-as-a-Service platform for enterprises to build, deploy, and manage customized AI agents without coding.

Ragie is a fully managed RAG-as-a-Service (Retrieval-Augmented Generation) built for developers to streamline the ingestion, chunking, and multimodal indexing of structured and unstructured data. It offers simple APIs and SDKs, seamless integration with data sources like Google Drive, Notion, and Confluence, and built-in advanced features like summary indexing, chunk reranking, and flexible vector filtering to help applications deliver state-of-the-art generative AI.