📄️ Org settings & access control overview
Jinkō is a secure SaaS platform where access control is managed by organization administrators, and robust security settings are enabled by default.
📄️ Access strategies: MS Azure Directory
To set up an access strategy to jinkō using Microsoft Azure Directory you'll need to identify the corresponding credentials in your Microsoft Console and link jinkō to your Azure application. This article walks you through this process.August 2025
📄️ Access strategies: SAML
To set up an SAML access strategy in Jinkō, you'll first need to configure the corresponding credentials from the SAML solution you are using. This article demonstrate this process using Google Workspace as an example, but the steps are similar for other SAML providers.
📄️ Access strategies: Google Sign-In
Before setting up a Google Sign-In or SAML access strategy in Jinkō, you'll first need to configure the corresponding credentials in your Google Console. This article walks you through both options.
📄️ Groups, projects and folders
The jinkō platform offers a structured and collaborative approach to in-silico modeling. The steps below provide an overview of the platform structure, so you can quickly get started with your first project.
📄️ Versioning and change management
Jinkō's versioning and change management features allow you to track changes in your projects, manage different versions of your content, and ensure that your team is always working with the most up-to-date information. This is crucial for maintaining the integrity of your projects and ensuring that all team members are aligned.
📄️ Quality Control, Quality of Code & Regulatory Requirements
Nova In Silico applies a rigorous, fully traceable Quality of Code and Quality Control framework to ensure that all Modeling & Simulation (M&S) projects making use of its technology - notably leveraging the modeling & simulation platform jinkō - meet the highest scientific, technical, and regulatory standards. This document provides an overview of how quality is embedded throughout our in silico modeling lifecycle.