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.
Implement custom AI solutions with
Superduper is a platform for integrating and building AI with your database - for more flexible, secure and scalable enterprise AI adoption.
Pandas
AWS S3
Oracle
SQLite
PostgreSQL
Official Partner
MongoDB
Official Partner
Snowflake
MySQL
BigQuery
DuckDB
Impala
ClickHouse
Trino
Pandas
AWS S3
Oracle
SQLite
PostgreSQL
Official Partner
MongoDB
Official Partner
Snowflake
MySQL
BigQuery
DuckDB
Impala
ClickHouse
Trino
Pandas
AWS S3
Oracle
SQLite
PostgreSQL
Pandas
AWS S3
Oracle
SQLite
PostgreSQL
Pandas
AWS S3
Oracle
SQLite
PostgreSQL
BigQuery
DuckDB
Official Partner
MongoDB
Official Partner
Snowflake
MySQL
BigQuery
DuckDB
Official Partner
MongoDB
Official Partner
Snowflake
MySQL
BigQuery
DuckDB
Official Partner
MongoDB
Official Partner
Snowflake
MySQL
Impala
ClickHouse
Trino
Impala
ClickHouse
Trino
Impala
ClickHouse
Trino
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.
Closing the loop between data and AI
By transforming the database into the central AI platform, Superduper consolidates enterprise AI, instead of being spread across systems and environments, eliminating MLOPs/ETL-pipelines, data duplication and unnecessary complexity from the AI data stack.
From GenAI and LLMs to classic machine learning workflows
Enable your team to build, deploy and manage custom enterprise AI applications at speed. Get in touch with our consultants to discuss your AI use-cases and requirements.
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.
One platform for enterprise grade AI-data applications
A fully flexible platform for AI-data applications supporting a range of databases. Build your AI stack with a single, open platform on your own, existing infrastructure, turning your databases into a feature store, a vector-search engine, and model-hub.
Faster development of more robust AI applications
Implement even the most complex AI applications on your database as workflow-as-code using Superduper's declarative Python interface and integrations with major AI frameworks, model hubs, and APIs. Move fast with our abstractions, building blocks, and templates, while still being able to drill down to any layer of customization.
Avoid vendor lock-in through composability
Implementing AI applications with Superduper enables switching between frameworks such as OpenAI, PyTorch, LangChain, and LlamaIndex within a single workflow, to build an optimal solution, portable to a range of databases.
Secure and scalable deployment on your existing infrastructure
No infrastructure or ETL pipeline setup required for new applications. Export your AI apps and workflows and deploy them with all required components in minutes on Superduper's platform. A single scalable deployment including fine-tuning, and streaming inference on your own infrastructure.
Work with your favorite technologies and solutions
Switch between and combine the functionality of the latest frameworks, tools, libraries, and providers — even within a single workflow.
Anthropic
HuggingFace
OpenAI
Cohere
LangChain
LanceDB
LlamaIndex
Scikit-Learn
PyTorch
Bedrock
Jina
Anthropic
HuggingFace
OpenAI
Cohere
LangChain
LanceDB
LlamaIndex
Scikit-Learn
PyTorch
Bedrock
Jina
Keras
Mistral
Numpy
Ollama
OpenCV
Ray
SBERT
spaCy
Stability
Unstructured
Vllm
Keras
Mistral
Numpy
Ollama
OpenCV
Ray
SBERT
spaCy
Stability
Unstructured
Vllm
Anthropic
HuggingFace
OpenAI
Cohere
LangChain
LanceDB
LlamaIndex
Scikit-Learn
Anthropic
HuggingFace
OpenAI
Cohere
LangChain
LanceDB
LlamaIndex
Scikit-Learn
Anthropic
HuggingFace
OpenAI
Cohere
LangChain
LanceDB
LlamaIndex
Scikit-Learn
PyTorch
Bedrock
Jina
Keras
Mistral
Numpy
Ollama
OpenCV
PyTorch
Bedrock
Jina
Keras
Mistral
Numpy
Ollama
OpenCV
PyTorch
Bedrock
Jina
Keras
Mistral
Numpy
Ollama
OpenCV
Ray
SBERT
spaCy
Stability
Unstructured
Vllm
Ray
SBERT
spaCy
Stability
Unstructured
Vllm
Ray
SBERT
spaCy
Stability
Unstructured
Vllm
Export and deploy your applications to production instantly
The Superduper protocol makes your applications and workflows flexible, configurable and reproducible, enabling you to transition from development to production.
1. Build
Configure a custom AI application or workflow using your favorite IDEs, like Jupyter or XYZ.
2. Export
Save your application in a human readable JSON/YAML format using the Superduper protocol.
3. Upload & Deploy
Deploy without any infrastructure work simply by uploading the config file of your application.
4. Manage & Monitor
Scale inference and training workloads on your compute infrastructure and monitor their performance.
5. Reproduce & Adopt
Reuse your application as a template and implement business logic directly in the config file of your application.
AI app templates ready-to-install on your database
Our highly configurable AI app templates enable enterprises to implement custom AI solutions with near zero development work. If you are looking into use-cases we have not covered yet, reach out here!
Document Key-Value Extraction + RAG
Accurately retrieve mission-critical information from your documents and store them in your database for downstream business operations like accounting, analytics, and decision-making.
Learn More ->
In-Database RAG multi-modal
Configure custom RAG applications, such as AI chatbots, directly on your database.
Learn More ->
Visual object detection
Identification and tracking of multiple objects in images or videos, enabling analytics and surveillance applications in retail, manufracturing, healthcare and more.
Learn More ->
Vector Embedding Generation
Integrate vector embedding models and APIs with your existing databases to generate embeddings for your data and perform vector search without moving your data.
Learn More ->
Custom Workflows
Schedule a meeting If you are interested in a custom AI application or workflow that we haven’t covered yet.
Start implementing AI
with your data todayStart implementing AI
with your data today
Reach out to us to learn more about Superduper, our enterprise solutions and how they help you to solve your AI challenges.