PULSE DeepConnect is an intelligent, ready-to-use software solution (SaaS) that allows you to configure AI agents for your use cases. In addition, you can build a knowledge base from your own documents and websites and connect your systems via API to automate and securely handle authentication and data transfers. Your configured AI agents are ready to use immediately and available 24/7 across multiple channels via phone, email, WhatsApp, and chat. This allows you to automate and optimize your processes in a short time in a controlled, traceable manner with clear handovers.
Security and Data Protection
State-of-the-art encryption, regular security checks, and compliance with European standards ensure that sensitive information remains fully protected. AI models are selectable, meet the highest security and GDPR compliance requirements, and prevent vendor lock-in.
No-code configuration
Thanks to AI-supported configuration, you can set up even complex systems quickly and intuitively, without any programming knowledge.
The AI automatically recognizes compatibility problems between modules, recommends optimal integration strategies, and, in many cases, makes adjustments on its own. This maximizes efficiency and accelerates the introduction of new solutions in your company.
PULSE DeepConnect makes your processes more efficient and reliable: you can tailor agents precisely to your requirements and easily connect your systems via API. Your customers can reach your agents via the channels they already use, such as chat, email, WhatsApp, web forms, and telephone.
Requests can be received at any time and are automatically processed by your agent, who answers calls, processes messages, asks for missing information, and completes tasks according to your process rules. Interrupted dialogues can be seamlessly resumed later and continued from the same point.
Your knowledge base as a vector database ensures that the agent accesses the right information to make accurate decisions, execute processes efficiently, and reduce hallucinations.
And multilingual, of course: the agent can communicate in many languages, even if your knowledge base is maintained in German, English, Spanish, Turkish, or French.
Agents handle specific requests. In the video, you can see how to create a task for your service agent in just a few minutes. During setup, you define:
The video shows you the setup step by step.
Workflows map your individual processes and control how tasks are performed step by step according to your rules. are processed. This , automation remains controlled, traceable, and secure. At its core, a workflow consists of three building blocks:
Your knowledge as a reliable foundation – vector database & RAG for context-related answers
The knowledge base is a powerful vector database designed specifically for Retrieval Augmented Generation (RAG). It enables you to efficiently store, process, and deliver information to your agents.
Data can be integrated in a wide variety of formats, including documents (PDF, Word, Excel, text files), images (PNG, JPEG, JPG, GIF), structured data (JSON, XML, CSV), and content from websites. Integration takes place via upload or direct integration of external sources. This allows the knowledge base to centralize structured and unstructured information in one place and make it immediately available to your agents.
Thanks to the vector-based structure, you can quickly find relevant content and output it precisely in the right context. This architecture supports efficient responses to complex queries and delivers consistent, context-sensitive results.
Fully integrated into PULSE DeepConnect, you can incorporate stored content directly into processes and deliver it via chat, email, WhatsApp, or phone. This creates an intelligent and flexible knowledge base that supports your workflows and makes optimal use of modern AI technologies.
Thanks to the vector structure of the knowledge base, you can quickly search through large data sets and deliver accurate results. This gives you context-sensitive answers that are tailored precisely to your requirements.
The knowledge base optimizes your data through semantic analysis, enabling your agents to recognize connections and deliver relevant content. This increases efficiency and quality.
The knowledge base is fully integrated into PULSE DeepConnect and can be used directly in agents and workflows. This ensures that information, rules, and responses remain consistent—and you can apply knowledge exactly where it is needed in the process.
Whether documents, images, structured data, or website content: the knowledge base processes common formats and makes them available to your agents. This allows you to bundle knowledge centrally and make it immediately usable.
System integrations connect PULSE DeepConnect with your existing applications, such as CRM, ticket systems, inventory, or ERP systems. This allows agents to not only respond, but also receive data via defined interfaces, trigger actions, and feed results back into your systems in a structured manner.
You will answer these four questions during implementation:
What does "Peacemaker" mean?
Peacemaker is the name given to the integration layer in PULSE DeepConnect. It is the controlled interface to third-party systems: agents do not access your systems directly, but exclusively via Peacemaker and defined endpoints.
For authentication, the target system can return a personal access token. This token is sent along with subsequent requests so that the target system can recognize the user and apply roles and rights. This ensures that data transfers remain secure, traceable, and under the control of the system rather than the agent.
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PULSE DeepConnect was developed from the outset with a clear focus on security, data protection, and the responsible use of AI.
The platform is based on a secure, cloud-native infrastructure located within the European Union and complies with the requirements of the General Data Protection Regulation (GDPR) as well as relevant regulatory developments in the areas of cloud computing and artificial intelligence.
The platform operates according to the following basic principles:
Production systems are hosted in the AWS Frankfurt (eu-central-1) region. This ensures that personal data is processed exclusively within the EU.
AI components are used to:
The use of this data is limited exclusively to defined system processes and is subject to technical and organizational controls.
Depending on the use case, large language models (LLMs) can be used.
The following basic principles apply:
Customer data is used exclusively to carry out customer-specific processes.
The following principles apply:
Prompts and model responses can be processed and logged to the extent necessary for:
Storage and retention periods can be customized for each customer.
PULSE DeepConnect supports various modeling strategies:
The selection is made taking into account:
The use of AI systems is continuously monitored.
These include:
The use of AI is in accordance with:
Personal data is processed exclusively in accordance with these guidelines.