Take a step forward

with the intellectual informational technologies

Enterprise Data Graph — a modern solution in enterprise data management.

Our advantages

Better data for decision making

Data consolidation, cleaning, augmentation, validation and provenance tracking increase you confidence in decision making.

Data monetization

Make your data a profitable asset, discover the new ways of using it, create new digital products.

Get ready for AI use

Ensure you have the high-quality data for ML models instead of silos and data lakes. Transform texts into structured data.

New possibilities

Innovational development and digital transformation allows to get ahead of the competitors, unlock new business opportunities.

Our services

Data
management

Automating complex tasks in data consolidation, cleaning and structuring.

IT architectures development

Designing complex IT solutions for your business.

Integrational solutions implementation

Effective solutions for the complex integrational tasks.

MDM
implementation

Building a single version of truth in the corporate data.

Our products

DataVera EKG Provider

Data virtualization platform for Enterprise Knowledge Graph implementation.

DataVera EKG Explorer

Enterprise knowledge graph editing and exploration interface.

DataVera EKG Language Processing

NLU tool for facts extraction from natural language text

Our experience

First Credit Bureau

Pilot project objectives:

  • Create a universal mechanism for consolidating data from different sources, allowing to manage the set of sources, the structure of data and the algorithm for generating reference records
  • Obtain a tool for data quality checking based on rules configured by the analyst
  • Assess the performance of the integration platform on large volumes of data
  • Track the entire history of the formation of each reference object from the data sources (provenance information)

Business effects:

Reducing the workload of analysts: accelerating changes to the data structure, consolidation and quality control rules
Reducing the costs of connecting to the new data sources
Expanding the possibilities of creating new services based on consolidated data