Onum is a data observability platform that provides real-time monitoring and analysis of data in transit, enabling IT and security leaders to identify abnormalities and potential risks efficiently. By filtering, enriching, and optimizing data flows, Onum enhances decision-making while maintaining compliance and reducing infrastructure costs by up to 122 times compared to competitors.
Funding
$40.6M 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.
Founders
Product
Problem
Modern IT and security teams struggle to efficiently monitor and analyze the massive volume of data flowing through their systems, making it difficult to identify critical anomalies, potential security risks, and system troubles in real time. Existing solutions often lack the necessary agility and scalability to handle diverse data types and growing data volumes, leading to delayed insights and increased operational costs.
Solution
Onum provides a real-time data observability platform that enables IT and security leaders to gain deep insights from data in transit. The platform observes and enriches data as it moves, delivering alerts on abnormalities, potential security risks, and system troubles. By filtering, reducing, and optimizing data flows, Onum helps organizations reduce data analytics platform costs, avoid vendor lock-in, and align the value of each dataset with specific actions. Onum integrates with existing IT infrastructure and offers a marketplace of shared data flows, community tools, and value-add modules to extend its capabilities.
Target Audience
Onum primarily targets IT and security leaders who need real-time monitoring and analysis of data to identify abnormalities, potential security risks, and system troubles.
Features
- Real-time data collection and observation at the edge for immediate insights.
- Data pre-processing to filter, reduce, enrich, aggregate, optimize, and route data to appropriate destinations.
- AI-powered insights to identify the relative value of each data field for optimized data reduction.
- Full traceability of data movements to ensure regulatory compliance.
- Shared data flows, community tools, and value-add modules for extending platform capabilities.
- Agnostic design that integrates with existing data analytics platforms.
- Infinitely scalable architecture designed to efficiently manage any amount of data.