Sphere Powers its AI Platform with Oracle Database 23ai
Rhea-AI Summary
Sphere has implemented Oracle Database 23ai on Oracle Autonomous Database to power its AI platform, OrgBrain. The integration enabled Sphere to deploy applications on Oracle Cloud Infrastructure (OCI) in just 45 days, significantly faster than traditional methods. Sphere's platform helps organizations complete complex workflows in 5-10 minutes instead of weeks.
The implementation leverages Oracle AI Vector Search for analyzing structured and unstructured data, while incorporating retrieval-augmented generation (RAG) to improve accuracy and reduce AI hallucinations. Notable customer successes include a U.S. healthcare organization streamlining back-office operations, legal teams utilizing explainable AI for precedent analysis, and an international NGO accelerating proposal drafting.
Sphere's developers reported significant time savings in back-end development through Oracle REST Data Services (ORDS), with built-in security features helping prevent sensitive data leaks through AI chatbots.
Positive
- Rapid deployment capability - applications built and deployed in just 45 days
- Significant workflow efficiency improvement - reducing weeks-long processes to 5-10 minutes
- Enhanced security features with built-in protection against AI data leaks
- Successful implementation across multiple sectors (healthcare, legal, NGO)
- Developers saved months of back-end development time using Oracle REST Data Services
Negative
- None.
Insights
Oracle's Database 23ai enabling rapid AI deployment shows practical enterprise traction in the competitive AI infrastructure market.
Oracle's announcement showcases Sphere's implementation of Database 23ai and Autonomous Database to power its AI platform OrgBrain, highlighting Oracle's capabilities in the enterprise AI infrastructure space. The rapid 45-day deployment timeframe Sphere achieved represents a significant efficiency gain compared to traditional approaches requiring multiple databases and complex data pipelines.
This implementation strategically positions Oracle in the AI infrastructure market by demonstrating three key competitive advantages:
- A converged database architecture that eliminates the need for separate, specialized databases and complex integration work
- AI Vector Search capabilities enabling retrieval-augmented generation (RAG) - a technique that grounds AI responses in company data to improve accuracy and reduce fabricated responses
- Built-in security features that prevent AI systems from accessing or leaking sensitive information
The customer examples span healthcare (streamlining back-office operations), legal (extracting insights from precedents), and NGO sectors (faster proposal drafting), suggesting Oracle's database technology has broad market applicability. The emphasis on highly regulated industries shows Oracle targeting sectors where security and explainability are critical selling points.
From a technical implementation standpoint, Sphere's developers reportedly saved months of development time by using Oracle REST Data Services to quickly map their data models to the database. This developer productivity angle strengthens Oracle's value proposition as enterprises seek to accelerate AI initiatives while maintaining governance.
While the announcement lacks specific financial metrics or impact details, it demonstrates Oracle's continued execution on its AI database strategy and shows customer adoption of its newer technology offerings in real-world AI implementations.
Oracle Autonomous Database on OCI enabled Sphere to build and deploy applications on its AI platform in just 45 days
By leveraging proprietary models and advanced automation, Sphere states that it helps enable organizations to take complex, multi-stakeholder workflows that typically require weeks and complete them in just 5–10 minutes. With Sphere's platform and turn-key solutions, customers can gain actionable insights, automate workflows with custom agents, and drive innovation by seamlessly integrating their enterprise data with robust security and their choice of AI models.
"Our ability to drive enterprise-grade, secure, and explainable AI into highly regulated industries is what sets us apart," said Christian Grupp, CEO and founder of Sphere. "We're helping our customers turn information overload into action by transforming legal, operational, and customer workflows quickly and confidently. As a rapidly growing startup, Oracle Autonomous Database on OCI provides us with the high-performance, secure, and scalable foundation necessary to support our customers' needs. With Oracle, we enable our customers to make hyper-intelligent decisions."
Oracle AI Vector Search in Oracle Database 23ai enables customers to simultaneously analyze and query structured and unstructured internal business data. It can also be used as part of a retrieval-augmented generation (RAG) solution to help generative AI deliver more relevant responses. A critical component for building knowledge-intensive applications, RAG paired with Sphere's proprietary data models can help improve accuracy and reduce hallucinations of large language models.
Customers are using Sphere OrgBrain to help deliver higher-quality insights with increased efficiency and speed. For example, a
"Organizations across all industries worldwide are evaluating where to apply AI to help improve efficiency, grow their customer base, deliver new products, and open new revenue generation opportunities," said Jenny Tsai-Smith, senior vice president, Overall Database Product Management, Oracle. "Oracle Database 23ai enabled Sphere to immediately meet customer demand and provide business value by helping it to build and deploy its platform in just weeks using built-in vector database and virtual private database features. By building its platform on Oracle Autonomous Database, Sphere can cost-effectively deliver the scale, tight security controls, and high performance that its customers require and rapidly expand into new markets."
Sphere's developers state that they saved months of back-end development time by quickly mapping their data models to objects in Oracle Autonomous Database using Oracle REST Data Services (ORDS). This enabled Sphere's developers to interact with the data and stored procedures from the database via a REST API as they built their web applications in React. Security permissions configured in the database are delivered out-of-the-box through the REST API, meaning AI chatbots are less likely to access or leak sensitive data.
Additional Resources
- Learn more about Oracle Database 23ai
- Learn more about Oracle Autonomous Database
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SOURCE Oracle