Istari Digital provides a secure, decentralized infrastructure specifically designed for managing engineering data. This framework enables real-time collaboration by allowing teams to work live from the source data without creating copies. The platform ensures data owners maintain full control over access and modifications while eliminating vendor lock-in.
Funding
$30.3M 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.
ESFounders
Product
Problem
Engineering models and simulations of physical systems are often isolated and lack digital connection to real-world data, hindering collaboration and traceability across organizations. This isolation prevents the creation of a comprehensive digital thread, limiting the potential for innovation and efficiency in industries like aerospace and agriculture.
Solution
Istari Digital offers a platform for creating secure and traceable digital twins, enabling real-time simulations and models that integrate physical systems into a cohesive digital engineering ecosystem. The platform facilitates collaboration across security levels and empowers distributed, multi-disciplinary workflows. By digitally threading models and simulations with reality, Istari Digital expands the utility of digital twins, unlocking software-like agility for physical systems and fostering innovation. The technology aims to simplify the creation and management of digital twins, making them more accessible and secure for various industries.
Target Audience
The primary target audience includes organizations in aerospace, agriculture, and other industries that rely on complex physical systems and seek to improve collaboration, traceability, and innovation through digital twins.
Features
- Secure audit trails for digital threads across users and organizations
- Collaboration tools designed for distributed, multi-disciplinary teams
- Support for various security levels to enable confident collaboration
- Integration of models and simulations with real-world data