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.
News Market Reaction – ORCL
On the day this news was published, ORCL gained 3.39%, reflecting a moderate positive market reaction.
Data tracked by StockTitan Argus on the day of publication.
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