Ontology Systems was founded to provide Enterprise Data Alignment (EDA) for communication service providers (CSPs) who want to search and align valuable knowledge from their customer, service and network data that is distributed across their operational, business and infrastructure systems.

Despite years of transformation, CSPs still find it difficult to draw accurate and valuable knowledge from the mass of customer, service and network data which is distributed across their constantly changing set of operational, business and infrastructure systems.

The data associated with customers, services and infrastructure are both spread and misaligned across multiple systems.  Traditional integration technologies are designed to address the fragmentation but not the misalignment of data.  This failing is further compounded by relentless changes to the data sources and to the equipment and services represented.  These factors frustrate traditional integration based solutions.

Data misalignment is a root cause of low customer profit, high customer cost and lack of agility for CSPs.

The impacts of misaligned OSS/BSS data are felt across the entire organisation:

• Unintentional Revenue leakage
• Customer churn resulting from Inaccurate Service and Customer Management
• The unacceptable risk of failed transformations and it's clear that CSPs still require single correct and joined up view of their critical business concepts.

 Industry surveys and reports highlight evidence that is staggering:

• The Communications Industry spends $20B annually on integration costs
• Last year CSPs lost $40B to revenue leakages
• 96% of CSPs suffer operational/financial impacts from misaligned data
• 75% of CSPs acknowledge the need doe data alignment to improve billing accuracy
• 0% of CSPs claim to have solved the problem citing cost and complexity as the main barriers.

The key to data alignment isn't integration, its search: 

• Search scales better than integration (no one integrates the Internet)
• Search is fast, Ontology addresses raw CSP data quickly and continuously
• Semantic Search is capable of finding things (concepts) not just strings.

Because Ontology's semantic search engine understands a business domain, it is able to classify sophisticated things (like customers, services, equipment, connections, etc.) directly from the distributed raw data.

This same semantic understanding also allows Ontology to determine if the "things" it finds in multiple sources contradict one another because of data misalignment. Ontology is therefore a comprehensive solution to Enterprise Data Alignment.

• Founded 2006 by Benedict Enweani, former Orchestream CTO, and Leo Zancani, former Metasolv Head of Engineering, with key team members from Orchestream, Oracle.
• Ontology, the first semantic search product for EDA and launched in May 2008, has won several awards including Global Telecoms Business 2010 Innovation Award, 2010 TM Forum Business Excellence Innovation Award and finalist 2009 IET Innovation Award.
• Reference customers include BT, Easynet, Global Crossing, Internet Solutions, Neotel, MBNL, QinetiQ, Telkom SA, Telenor.
• Strongly endorsed by industry analysts including inclusion in Gartner's "Cool Vendors in Telecom Operations Management Systems, 2010", Stratecast's "Global OSS/BSS Rat Pack - Stratecast's 10 To Watch in 2010".
• Backed by Celtic House and Eden Ventures, the original investors of Cramer, Apertio, Newbridge, Mitel and Orchestream.