Agility and flexibility
Leverage our cloud-native infrastructure to seamlessly integrate and adopt new technologies and solutions as they emerge. Stay ahead of the curve with a system designed for rapid innovation and adaptation.
AI Stack Modernization
Superduper your AI stack
Harness the power of state-of-the-art, scalable infrastructure to run your AI workloads efficiently. Experience the same level of transactional consistency and reliability that traditional mainframe databases offer. Discover how Superduper can transform your AI operations and provide a solid foundation for future growth.
Build, deploy and manage
AI efficiently and flexibly
Category
- Data
- Infrastructure
- Code
- Management
- Hardware
- Security
Traditional/Standard Approach
- Data duplication in multiple locations and data pipelines, leading to increased latency, costs, security vulnerabilities, and management overhead.
- Complex architecture with multiple components and deployments to be stitched together.
- Various components require glue code in different languages and environments, often combined with vendor lock-in, lacking open-source ownership.
- Plenty of work with deployment, scaling, securing, and managing data pipelines across different environments.
- Hardware and vendor lock-in resulting in low flexibility and inability to optimize costs by moving to cheaper compute.
- Scattered security and governance on the data and application layers, resulting in massive management overhead and vulnerabilities.
Superduper
- Data stays where it is, with compute running where data resides, limiting data movement and costs.
- A scalable deployment that unifies all AI and data components services in a single platform.
- A simple Python interface with reusable building blocks and complete application templates enabling developers to build custom enterprise AI applications super fast.
- No infrastructure work at the application level, allowing focus on building and improving applications.
- Full hardware flexibility with the ability to distribute workloads to any hardware easily with containerized architecture.
- Relying on existing security and rights management controls of the datastore making it easy to stay in control.
| Category | Traditional/Standard Approach | Superduper |
|---|---|---|
| Data | Data duplication in multiple locations and data pipelines, leading to increased latency, costs, security vulnerabilities, and management overhead. | Data stays where it is, with compute running where data resides, limiting data movement and costs. |
| Infrastructure | Complex architecture with multiple components and deployments to be stitched together. | A scalable deployment that unifies all AI and data components services in a single platform. |
| Code | Various components require glue code in different languages and environments, often combined with vendor lock-in, lacking open-source ownership. | A simple Python interface with reusable building blocks and complete application templates enabling developers to build custom enterprise AI applications super fast. |
| Management | Plenty of work with deployment, scaling, securing, and managing data pipelines across different environments. | No infrastructure work at the application level, allowing focus on building and improving applications. |
| Hardware | Hardware and vendor lock-in resulting in low flexibility and inability to optimize costs by moving to cheaper compute. | Full hardware flexibility with the ability to distribute workloads to any hardware easily with containerized architecture. |
| Security | Scattered security and governance on the data and application layers, resulting in massive management overhead and vulnerabilities. | Relying on existing security and rights management controls of the datastore making it easy to stay in control. |
Why choose Superduper?
Scale and resilience
Benefit from automated horizontal scaling, both up and down, ensuring optimal hardware efficiency and robust performance. Our solution is designed to handle varying workloads with ease, providing resilience and scalability when you need it most.
Time and cost efficiency
Significantly reduce the costs and development cycles associated with AI infrastructure and development. Our modernized stack helps streamline processes, allowing you to focus on innovation without the financial and temporal burdens of traditional systems.
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.
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In-Database RAG multi-modal
Configure custom RAG applications, such as AI chatbots, directly on your database.
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Visual object detection
Identification and tracking of multiple objects in images or videos, enabling analytics and surveillance applications in retail, manufracturing, healthcare and more.
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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.
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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.