Opvia provides an extensible platform for research, development, and manufacturing teams, featuring best-practice templates that streamline workflow setup and ensure compliance with quality standards. The system addresses inefficiencies in documentation and data management, enabling teams to automate processes and improve operational accuracy.
Funding
Funding not disclosed
Founders
Product
Problem
Research, development, and manufacturing teams often struggle with inefficient documentation and data management, leading to difficulties in workflow setup and adherence to quality standards. These inefficiencies can hinder process automation and compromise operational accuracy.
Solution
Opvia offers an extensible platform designed for research, development, and manufacturing teams, providing best-practice templates to streamline workflow configuration and ensure compliance with quality standards. The platform addresses documentation and data-management inefficiencies by enabling teams to automate processes, improve operational accuracy, and maintain comprehensive data capture in a centralized database. By digitizing workflows and automating repetitive tasks, Opvia helps organizations take control of their procedures, ensure compliance, and facilitate continuous improvement.
Target Audience
Opvia targets scientists, engineers, technicians, quality professionals, and data scientists in quality-critical industries such as biotechnology, pharmaceuticals, food and beverage, and manufacturing.
Features
- Best-practice templates for rapid workflow setup, covering data entity tracking, IoT integration, manufacturing processes, quality management, reporting, sample management, and training.
- Document control features for managing OOS (Out-of-Specification) and non-conformance issues.
- Experiment checklists for standardized research procedures.
- Data visualization tools for fermentation data analysis.
- Stability testing protocols for product shelf-life assessment.
- Role-based access control for secure data and document sharing.