Aurory AI utilizes advanced machine learning algorithms to analyze complex data sets, enabling businesses to gain valuable insights about their operations. It offers tailored recommendations based on data trends, helping companies optimize their processes, improve customer experience, and drive better business outcomes. With its user-friendly interface, Aurory AI allows users to visualize data and receive actionable insights in real-time, facilitating informed decision-making.

eigenDB is a purpose-built vector database tailored for AI and machine learning workloads. It enables users to ingest, index, and query high-dimensional embedding vectors in real time, supporting billions of vectors with sub-second search times. With features such as automated shard management, dynamic scaling, and multi-dimensional indexing, it integrates via RESTful APIs or client SDKs in popular languages. eigenDB also offers advanced metadata filtering, built-in security controls, and a unified dashboard for monitoring performance. Whether powering semantic search, recommendation engines, or anomaly detection, eigenDB delivers a reliable, high-throughput foundation for embedding-based AI applications.

GraphSignal is an AI-driven graph intelligence platform that seamlessly integrates vector-based embeddings and knowledge graph structures. Users can connect their data sources, automatically generate embeddings using built-in or custom models, and index nodes and edges for real-time semantic querying. The platform offers RESTful APIs and SDKs to perform advanced graph analytics, similarity searches, recommendations, and question-answering tasks across connected data. Its dynamic visualization tools help teams explore relationships and derive actionable insights from complex networks.