Salieri is an innovative platform designed to streamline AI project development through multi-agent applications. By leveraging advanced AI technologies, Salieri enhances productivity and efficiency, making it easier for teams to automate workflows. Salieri's intuitive design and powerful functionalities allow users to translate detailed ideas into interactive, illustrated stories, perfect for narrative-driven projects, games, and more. Offering robust and efficient systems, Salieri integrates knowledge graphs and formal engines to improve the accuracy and cost-effectiveness of AI models.

KnowSilos is a powerful decision-making tool designed for businesses of all sizes. It automates the gathering of siloed, unstructured information, scrapes real-time data from the internet, and leverages decision-making frameworks to provide actionable insights. With features like advanced knowledge graphs and real-time analysis, KnowSilos helps organizations stay ahead of market trends, ensure data credibility, and enhance collaborative decision-making. The platform also addresses critical challenges like information overload and ineffective knowledge sharing.

Chat2Graph integrates with the TuGraph graph database to deliver a conversational interface for graph data exploration. Through pre-built connectors and a prompt-engineering layer, it translates user intents into valid graph queries, handles schema discovery, suggests optimizations, and executes queries in real time. Results can be rendered as tables, JSON, or network visualizations via a web UI. Developers can customize prompt templates, integrate custom plugins, or embed Chat2Graph in Python applications. It's ideal for rapid prototyping of graph-powered applications and enables domain experts to analyze relationships in social networks, recommendation systems, and knowledge graphs without writing manual Cypher syntax.

DeepResearch leverages advanced natural language processing to crawl multiple academic sources, extract key findings, and produce structured summaries. It creates interactive knowledge graphs, highlights relevant citations, and generates insights on demand. Users can tag, organize, and export results to citation managers or collaborative platforms. The AI continuously learns user preferences to improve relevance and depth over time, making literature reviews faster and more comprehensive.