Vimmera Studio
Vimmera Studio is Vimmera’s browser-based software platform for companies that want to use artificial intelligence productively, securely, and in compliance with regulations. As a modern web application, Vimmera Studio runs entirely without installation and is therefore suitable for almost any operating system and browser type — whether Windows, macOS, or Linux, whether Chrome, Edge, Firefox, or Safari.
Mobile access via tablet or mobile phone is also easily possible. This makes AI-supported work usable независимо of location and device.
Access is exclusively encrypted via HTTPS, which reliably protects all data in transit. Data security and data protection are not additional features, but fundamental principles of the entire platform architecture.
A platform for all AI processes

At its core, Vimmera Studio is the consolidation of everything Vimmera AI offers — the central software platform. All processes come together here. Connected systems, agents, Large Language Models (LLMs), knowledge databases, and tools are accessible, controllable, and configurable via a unified interface.
Vimmera Assist can, for example, support the user in different versions. -Specialized for different tasks and areas of knowledge.
Vimmera Studio thus serves as the technical and organizational heart of AI use in the company.
Structured use of AI in the company
As a central work platform, Vimmera Studio makes artificial intelligence accessible to companies in a structured way and usable productively. Specialist users, teams, IT, and administration work in the same environment, but with clearly separated roles, rights, and responsibilities.
This creates a consistent, secure, and scalable AI landscape, from initial use to company-wide rollout.
Vimmera Studio combines ease of use with enterprise standards. The platform keeps technological complexity in the background and enables companies to integrate AI into their daily work processes in a controlled, efficient, and sustainable way.
Data security and data protection as the foundation
Vimmera Studio is designed to handle sensitive company information responsibly. In addition to the encrypted connection, the focus is on comprehensive security mechanisms that cover both technical and organizational requirements.
Access is personal and takes place via a private login. This ensures that at all times it remains traceable who uses which functions and which content is processed.
Vimmera Studio is fully GDPR-compliant and also aligns with the requirements of the EU AI Act as well as contractually agreed compliance and data protection requirements. This makes the platform particularly suitable for organizations with high regulatory requirements.
Additional protection mechanisms actively check for manipulation attempts and risks such as prompt injection, unintended disclosure of sensitive data, or potential data leakage.
Input and output controls for maximum security
Vimmera Studio has multi-stage verification mechanisms for user inputs and system outputs. Every user input is automatically checked before being sent and can, depending on the configuration, be anonymized. Among other things, PII filters (Personally Identifiable Information) are used to detect personal or sensitive information and handle it accordingly.
Inputs are only forwarded if they are classified as permissible and do not pose a security or compliance risk.
The same control mechanism applies before results are output. Responses can be checked depending on role, authorization, and company policies. This makes it possible to enforce, at system level, restrictions on product or competitor comparisons, the limitation of sensitive information to certain roles, or the prevention of confidential content from being output.
These controls prevent unintended data output and ensure that company policies are not only defined, but technically enforced.
Fully customizable — visually and functionally
Vimmera Studio is fully customizable. Companies can adapt the interface to their corporate design and functionally define which modules, agents, or tools are visible and usable for which user groups.
This allows the platform to be flexibly adapted to different departments, roles, and areas of use.
Agents: AI profiles, LLMs, and company knowledge
A central element of Vimmera Studio is the category “Agents.” Depending on their authorization, users can select different systems that differ in capabilities, tone, and function. Different LLMs (Large Language Models) can also be used, depending on the specific use case.
The agents access company-specific knowledge from the Vimmera knowledge database. Only verified company knowledge is integrated into this database. This reduces the risk of hallucinations and significantly improves the quality of the responses.
Flexible LLM architecture
Vimmera Studio supports the flexible use of different LLMs. Depending on performance and data protection requirements, cloud models, dedicated server solutions, or fully local installations within the company network can be used.
Regardless of the model used, the same security, output, and compliance controls always apply. The platform remains consistent, controllable, and trustworthy.
Feedback, learning, and maximum data integrity
Depending on approvals and role, Vimmera Studio enables targeted feedback on AI outputs. Conversations can be stored and analyzed anonymously in order to identify usage patterns, determine information needs, and continuously improve response quality.
New insights are not adopted automatically, but instead go through a clear validation and approval process. This ensures the integrity of the knowledge database is maintained at all times.
Interfaces & integration
Vimmera Studio can be operated as a stand-alone solution or seamlessly integrated into existing IT systems. Through open interfaces, including MCP interfaces, the platform can communicate with ERP, CRM, CMS, DMS, or email systems.
Workflows do not have to be adapted to the software — the software adapts to established processes.
In practice, Vimmera Studio often works in the background. Data is exchanged across systems while users continue working in their familiar applications.
Example from everyday work
An incoming email is analyzed automatically. The AI recognizes, for example, a request for a quotation, extracts relevant information, and transfers a prepared quotation template directly to the ERP system. There, a finished draft of the quotation appears, which can be reviewed and edited as usual. No additional tool, no new work step, simply an automated work process.
The process remains familiar, the manual effort is eliminated.
Private workspace
Through the personal login, each user gains access to their private workspace. There, conversation histories, project access, used agents, and work statuses can be viewed and managed.
Vimmera Studio thus becomes a structured, traceable workspace for AI-supported processes.
Tool area
Additional AI tools such as analysis, structuring, meeting, editing, and translation functions expand the range of applications. Vimmera Studio can be used and operated in almost all languages.
Admin area
A comprehensive admin area is available for operation within the company. Users can be managed, roles and permissions assigned, and access and governance concepts implemented.
Log data and statistics create transparency and support compliance, auditability, and optimization.
Reliable answers through verified company knowledge
A decisive quality factor is the knowledge-based working method behind Vimmera Studio. Agents and systems access verified, company-specific knowledge from Vimmera Cortex.
Vimmera Cortex (the knowledge database) is built, maintained, and continuously expanded together with Vimmera AI and you. This creates a reliable foundation for secure, precise, and company-relevant AI outputs.
The essence of Vimmera Studio
Vimmera Studio is the central AI work platform for companies. It bundles all AI functions, systems, models, and knowledge sources from Vimmera AI into a unified, secure, and controllable environment. The goal is to make artificial intelligence usable not as an isolated tool, but as an integrated part of existing company processes.
The platform is browser-based, device-independent, and usable without installation — from desktop to mobile device. It forms the technical and organizational center of AI use in the company: agents, LLMs, company knowledge, tools, interfaces, and governance all come together here.
A central principle of Vimmera Studio is control instead of a black box. Data security, data protection, and compliance are built into the architecture: personal access, role and permission concepts, GDPR and EU AI Act compliance, input and output controls, PII filters, and protection mechanisms against manipulation and data leakage. AI may be powerful — but only within clearly defined, secure guardrails.
In terms of content, Vimmera Studio is based on verified company knowledge. The AI does not arbitrarily draw on external information, but on verified knowledge databases built together with the customer. Learning from conversations is possible, but only in anonymized, controlled, and quality-assured form. This allows the knowledge base to grow continuously without jeopardizing data integrity.
Technologically, Vimmera Studio is maximally flexible: different LLMs can be used depending on performance and security requirements — from powerful cloud models to dedicated or fully local installations within the company network. The platform itself always remains the same. For users and the organization, this creates no break, but freedom of choice.
Another core aspect is seamless integration. Vimmera Studio does not have to be in the foreground, but can work in the background. Through interfaces, the platform integrates into existing systems such as ERP, CRM, CMS, or email infrastructures. Processes remain as they are — only faster, smarter, and automated. AI adapts to established workflows, not the other way around.
This creates a familiar, personal workspace for users with agents, tools, projects, and histories. For admins, a transparent, controllable platform with governance, logs, and statistics. For the company as a whole, a scalable, future-proof AI foundation.