Make your database your AI stack
Integrate AI models and workflows on any type of data directly with your existing databases, eliminating data pipelines and moving data, ensuring production-readiness.
Avoid vendor lock-in
Develop composable AI workflows and future-proof your AI stack by easily switching and combining any open and closed source models, providers and tools.
Safeguard your data
Deploy Superduper on your existing infrastructure, including your own models, inference and fine-tuning, with compute running where your data is, on any cloud and on-prem.
LLM and RAG applications
Allow large language models direct access to your data to build chatbots, assistants, sentiment analysis, classification, summarization.
Vector Embedding Generation
Install and manage vector embedding models and APIs side-by-side, enabling semantic and similarity search, recommendation systems.
Computer Vision
Analyze, process, and extract meaningful insights from images and videos to build classification, segmentation, object detection, and recognition systems.
Multimodal Vector Search
Combine and search across different data types, such as text, images, and audio, using vector embeddings to enable more accurate retrieval of information.
Predictive Analytics
Predict behavioral patterns and anticipate changes and trends based on historical and current data for various applications.
Anomaly and Fraud Detection
Identify deviations or irregularities in data patterns, signaling potential instances of fraudulent activity or abnormal behavior.
Time Series Prediction
Forecast future values based on historical data points, predicting trends, patterns, or outcomes over time.
Text Classification
Classify text into predefined categories, such as sentiment analysis, or topic labeling, by leveraging machine learning models trained on labeled datasets.
Recommendation Systems
Deliver personalized suggestions by analyzing user behavior, preferences, and interactions for products and content.