Our core focus lies in leveraging cutting-edge Large Language Models (LLMs) to tackle data quality management challenges, including data verification and data enrichment. We aim to provide users with a novel, cutting-edge technology that utilizes LLMs to obtain highly reliable and complete datasets from both the Web and users' internal documents.
UNLIMITED
PRECISION DATA,
BOUNDLESS
BUSINESS SUCCESS!
Top Award
1
One of our co-founders has been awarded the Lovelace Medal—the top award in computing in the UK, for his contributions to AI and databases in both academia and industry.
Patents
5
One full patent granted, one full patent under review, with three more submissions underway.
Acquired Start-ups
3
Built upon the founders’ experience of three successful, acquired startups.
Enterprise Solutions We Offer:
All solutions are completely automated.
Data Error Detection
Data error detection in various datasets, such as price lists, data from manual inputs, data from data vendors, outdated data sourced from the Web, etc., including the automatic generation and execution of data quality rules to detect and correct errors and assess the quality of various datasets.
Automatic generation and/or enrichment of datasets
Automatic generation and/or enrichment of datasets, including complex data that usually requires extensive information gathering and analysis, such as identifying relationships among companies or individuals, or data about connections between suppliers, manufacturers, and distributors, from scratch.
Documents to Structured Data
transforming text documents like medical records, business contracts, reports, emails, reviews, operational manuals, customer chat histories, etc., into structured data tables.
Data Updates
Data updates, such as automatic acquisition of product prices, store locations, statistics, etc.
Automatically filling-in missing data
Replacement of manual or crowd-based data sourcing
Automatically filling-in missing data using relevant, up-to-date information.
Replacement of manual or crowd-based data sourcing processes, like collecting data about companies and products, with an automated data generation process.