Cloudnine AI offers the REL-1 associative knowledge architecture that unifies fragmented data sources into a single, context‑driven view. The platform provides data discovery, quality remediation, and compliance controls without altering source systems, enabling faster insight generation for risk, AI, and analytics workloads. Its toolset includes universal connectors, a developer sandbox, and explainable data lineage to support secure, scalable decision‑making.
Funding
$720K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
EDFounders
Product
Problem
Organizations struggle to integrate and analyze complex, disparate data sources while maintaining data privacy and compliance, especially when dealing with sensitive information like PII. Existing solutions often require specialized technical expertise and complex queries, hindering timely insights and effective data governance. Data quality issues and a lack of transparent data lineage further complicate the process.
Solution
CloudNine AI offers an associative knowledge system that unifies diverse data sources at scale, enabling users to access and analyze data without modifying the original sources. The platform virtualizes and unifies data, resolving data quality issues and revealing inherent context and patterns. Its architecture augments intelligence, simplifies data access, and facilitates knowledge discovery, providing a single point of truth with full explainability. The system is designed for data privacy, employing anonymized token systems, transparent data lineage, and point-in-time auditing to ensure exceptional compliance.
Target Audience
The primary target audience includes organizations in highly regulated industries such as healthcare, finance, and government, as well as those involved in AI/ML development, manufacturing, and green technology, who require robust data privacy, risk management, and compliance solutions.
Features
- Source-agnostic data integration, unifying all data sources at scale
- Associative knowledge architecture for augmenting intelligence and simplifying data discovery
- Real-time data virtualization without modifying source data
- Automated data quality resolution
- Anonymized token system for data privacy
- Transparent data lineage and point-in-time audit capabilities
- Role-based access control and total privacy management
- Pre-built solutions for healthcare, Fin/InsurTech, AI/ML, manufacturing, and green tech