Ome is a customizable AI platform that is deployed within a company’s infrastructure. It provides access to company data, enables its analysis, and executes actions without relying on external services.
The platform acts as a common layer on top of existing systems and brings together documents, databases, and other data sources into a unified view.
Problem: Limitations of public AI usage
- data is processed outside the company’s infrastructure
- availability depends on third-party services
- models are trained on user data
- sensitive data is exposed and its processing cannot be controlled
Solution architecture
| Component | Description |
| AI models | Selected and configured for a specific client, operating in local or hybrid mode |
| Data layer | Integration of documents, databases, and systems |
| Vector database | For semantic search and data structuring |
| Interface | Chat-style access to data and commands |
| Infrastructure | Customized infrastructure located in the client's environment |
The system connects to the company's data sources and indexes the information. Users can submit queries, which are broken down into several steps; the necessary information is retrieved from various sources, and the results are combined into a single response. If necessary, the system can perform actions in integrated systems.
Functionality
- semantic search of documents and data
- automatic generation of summaries and reports
- data aggregation from multiple systems
- integration with ERP, CRM, databases, and file systems
- Internet resource search
The solution is customized for each client, taking into account data volume, infrastructure, and security requirements. It is deployed locally and can operate even without an internet connection. In addition to implementation, employee training on how to use the system is provided.
