Qore is a cloud-based Data-as-a-Service (DaaS) platform for enterprises, specialising in foundational data powered by Machine Learning and Robotics Process Automation (ML/RPA).
Problem
- Data quality issues: Poor data quality is a major problem for AI and machine learning. In 2016, IBM reported that US businesses lost US$3.1T due to inaccurate data.
- Inefficient data management: Current data management methods are labor-intensive and prone to errors. Companies spend millions on data contracts or in-house data stewards, yet still struggle with data reliability, affecting critical business functions and decision-making processes.
- Frequent data changes: Data changes 15-20% annually, disrupting corporate databases. Maintaining accurate data requires numerous data stewards, resulting in high costs and potential inaccuracies.
Solution
Qore has developed a cloud-based DaaS platform that leverages RPA to provide high-quality, reliable data for enterprises.
- Automated data management: By using AI/ML, Qore minimises human intervention, continuously improving data quality and reliability. The platform’s RPA-driven Data Factory constructs and maintains datasets, making them available to multiple clients, thus offering scalable and reusable data solutions.
- Efficient data curation: Qore’s Data Factory employs RPA to curate datasets, combining AI/ML for data validation and verification. This reduces reliance on human data stewards and enhances operational efficiency.
- Seamless integration: The platform integrates seamlessly with ERP systems and offers no-code solutions, ensuring easy adoption and access to high-quality data
Media Links
Type
Enterprise
Focus Area
Deep Tech, Enterprise, and Sustainability
Capital Raised (US$)
1M to 5M
Operational HQ
United States
SECTOR
AI, Big Data & Analytics, Enterprise Data & Software, Machine Learning, and SaaS
status
Current
founders
Rahul Sahgal,Ray Nath
partnered
2021
exited
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