Zetatech provides an intelligent laboratory software platform that automates experimental workflows using natural language commands and integrates with existing hardware. It centralizes and structures R&D data in secure cloud storage, making it AI-ready and enabling seamless sharing of insights across research teams.
Funding
Funding not disclosed
Founders
Product
Problem
Engineering and R&D teams generate substantial R&D data but face challenges in effectively organizing, accessing, and deriving insights from it. This data fragmentation and lack of structured organization impede efficient analysis and the application of advanced AI methodologies.
Solution
Zetatech offers an intelligent laboratory software platform that translates natural language commands into automated experimental workflows, leveraging existing hardware without requiring new equipment purchases. The platform centralizes experimental data in secure cloud storage, enabling seamless organization, retrieval, and analysis. It automatically structures and prepares data for AI applications, removing common data organization hurdles. Zetatech facilitates instant sharing of experimental insights across an organization, accelerating scientific research and technological progress by streamlining data management and experimental execution.
Target Audience
The primary customers are R&D teams within engineering and scientific research organizations that require enhanced laboratory automation, data management, and AI-ready data infrastructure.
Features
- Natural language processing (NLP) interface for commanding laboratory equipment and automating experimental protocols.
- Integration with existing laboratory hardware, eliminating the need for new equipment procurement.
- Cloud-based data storage and management system for centralizing experimental results.
- Automated data structuring and preparation pipelines designed for AI and machine learning applications.
- Real-time data sharing capabilities for cross-organizational collaboration.
- Support for analysis using standard tools such as Jupyter notebooks.
- Secure data infrastructure with robust access controls.