Vimmera Studio

Vimmera Studio – the AI productivity platform for connected enterprise data

Vimmera Studio is Vimmera's AI productivity platform that connects enterprise data, knowledge and artificial intelligence in a central working environment. Information from different areas of the company can be provided in a connected manner, used in the right context and processed efficiently with AI.

This creates a central platform where employees not only work with artificial intelligence, but can also access the company's relevant knowledge and use it specifically for their daily tasks.

Vimmera Studio is fully browser-based and available without installation. The platform can be used on Windows, macOS and Linux, as well as with common browsers such as Chrome, Edge, Firefox and Safari. Access via tablet or smartphone is also possible. This makes AI-supported work available regardless of workplace and device.

Data protection and data security are integral parts of the platform architecture from the outset. Access is exclusively encrypted via HTTPS and is additionally protected by two-factor authentication. The LLMs used are hosted in Europe, and data processing is designed to comply with the GDPR.

Vimmera Studio thus combines enterprise knowledge, data and AI into a powerful productivity platform: for faster access to information, more efficient workflows and smarter use of existing enterprise data.

One platform for all AI processes

Vimmera Studio is the central software platform where all processes converge. The content and appearance are tailored to each customer’s needs.

Vimmera Studio consolidates central AI processes in a shared platform. Companies can centrally develop, control and manage AI applications, AI agents, automations, data sources and models. This creates a unified environment in which AI solutions can be structured, integrated into existing processes and flexibly developed further.

Instead of isolated solutions, Vimmera Studio creates a central foundation for company-wide AI use. Processes become more transparent, applications easier to control, and new AI solutions can be implemented and scaled more quickly.

One platform instead of many individual solutions

Not a different tool for every task and not a new provider for every process. That is exactly what Vimmera Studio is all about. Knowledge from meetings, sales, accounting, development and other areas of the company is brought together centrally and made usable for all AI applications. This prevents separate knowledge silos, eliminates the need to maintain information multiple times, and ensures valuable enterprise knowledge is not lost between different systems. At the same time, many typical disadvantages of a fragmented tool landscape are eliminated, such as separate data repositories, different user interfaces, additional interfaces, different authorization concepts and a multitude of individual contracts. Vimmera Studio connects knowledge, processes and AI tools in a shared environment, creating the foundation for using AI company-wide at the highest level.

Structured AI use in the company

As a central work platform, Vimmera Studio makes artificial intelligence accessible to companies in a structured way and enables productive use. Business 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-grade capabilities. 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 a foundation

Vimmera Studio is designed to process sensitive enterprise 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 provided through an individual user account. This ensures that it is always traceable who uses which functions and processes which content.

Vimmera Studio is fully GDPR-compliant and also follows 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-level verification mechanisms for user inputs and system outputs. Every user input is automatically checked before being sent and can be anonymized depending on the configuration. This includes the use of PII filters (Personally Identifiable Information), which detect and handle personal or sensitive information 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 enables system-level enforcement of restrictions on product or competitor comparisons, limiting sensitive information to specific roles, or preventing the output of confidential content.

These controls prevent unintended data outputs and ensure that company policies are not only defined, but also 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 use cases.

Agents: AI profiles, LLMs and enterprise knowledge

A central element of Vimmera Studio is the “Agents” category. 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 enterprise knowledge is integrated into this database. This reduces the risk of hallucinations and significantly improves the quality of 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 on 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 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 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 need 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 automatically analyzed. The AI recognizes, for example, a quote request, extracts relevant information and transfers a prepared quote template directly to the ERP system. A finished quote draft then appears there and can be reviewed and edited as usual. No additional tool, no new work step, simply an automated workflow.

The process remains familiar, while the manual effort is eliminated.

Private workspace

Through their personal account (with username, password and two-factor authentication), 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.

Tools section

Tools are AI tools that differ structurally from individual agents and assistants. They can bring together multiple specialized agents and assistants in a shared workflow. Each component performs a defined task and passes its results to subsequent steps. This creates end-to-end processes that can also handle complex specialist tasks.

Such a tool can, for example, detect and classify an incoming email, extract and open existing attachments, and analyze their contents. It can process not only text and documents. Images, plans and technical drawings can also be evaluated and used as a basis for further processing steps.

From technical drawings, the tool can, for example, determine relevant values such as dimensions, areas or room sizes. Technical calculations and product sizing can then be carried out on this basis, for example for heating systems. Further process steps may include calculating sound values, selecting suitable products, preparing quotes and generating customer-specific texts.

The tool can also interact with existing IT systems. Bills of materials, product data or other results can be automatically transferred to ERP, CRM or other systems and processed further there.

Controlled approval processes can also be integrated. Before results or documents are sent, employees can review and approve them. After approval, the tool can automatically finalize the response and send it to the customer.

In this way, tools connect individual AI capabilities into complete workflows in which specialized agents, assistants, enterprise data and existing IT systems work together in a coordinated manner.

Admin section

A comprehensive admin section 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.

Available on all devices

Vimmera Studio runs on all common devices and can be used directly wherever work takes place. Smartphones, tablets and notebooks thus become an immediate part of AI-supported processes. For example, meetings can be recorded, transcribed and processed further directly via a mobile device.

No additional hardware is required for this.

Reliable answers through verified enterprise knowledge

A key quality factor is the knowledge-based approach 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 jointly by 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 platform where AI assistants, agents and tools are developed, connected with one another and integrated into business processes.

Its particular strength lies in the interplay of different AI components. Individual assistants support clearly defined tasks, agents independently take on more complex work steps, and tools connect multiple specialized agents, assistants, data sources and IT systems into end-to-end processes.

This creates an environment in which AI not only supports individual tasks, but can also map complete workflows. From processing incoming information through analyses and specialist calculations to creating results, transferring them to existing systems, and integrated review and approval processes.

Vimmera Studio thus creates the technical and organizational foundation for using AI in a structured, controlled and company-wide manner.