DQC provides an AI-driven platform that automatically detects and resolves data quality issues within existing enterprise tools and workflows. Its AI agents combine large language models, machine learning, and statistical methods to enrich and improve master data across functions such as product, finance, sales, and HR. The solution offers SaaS or private‑cloud deployment with GDPR‑compliant security and a human‑in‑control approach.
Funding
$30K 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
Many organizations struggle with maintaining high data quality due to the complexity and time-consuming nature of creating and implementing data quality rules. Traditional methods often involve manual processes and delayed issue detection, leading to inaccuracies and inconsistencies in data across various systems.
Solution
DQC offers automated data quality management software that empowers both data and business teams to rapidly establish data quality rules and identify issues at their origin. Leveraging proprietary machine learning models, the platform ensures data accuracy and consistency directly within data sources, such as core systems, data warehouses, and data lakes. DQC's intuitive interface and intelligent automation capabilities streamline data validation, enabling users to differentiate between good and bad data efficiently. The solution also includes a DQ Assistant for Excel, which helps users detect data quality issues and avoid errors during data manipulation in spreadsheets.
Target Audience
DQC primarily targets data and business teams within enterprises and SMEs across industries such as industrial goods, energy, automotive, healthcare, retail, technology, and professional services.
Features
- Automated data quality rule creation for faster implementation
- Machine learning models for intelligent data issue detection
- Direct integration with data sources (core systems, data warehouses/lakes)
- DQ Assistant for Excel to ensure data quality during spreadsheet work
- Real-time data quality monitoring and alerting
- Customizable dashboards for visualizing data quality metrics
- Role-based access control for secure data governance