“Power Up Your Customer Service”
OMQ is a German B2B SaaS solution for automating customer service inquiries. The system covers self-service, chat, email, contact forms, agent assistance, and process-based automation, and works across channels with a central knowledge base. In doing so, OMQ positions itself as a GDPR-compliant solution that can be integrated quickly for companies looking to reduce support effort and shorten response times.
OMQ
The AI software for automated customer service
Location: Germany ⓘ OMQ GmbH, Stefan-Heym-Platz 1, 10367 Berlin, Germany.
Essential Help Page plus either Contact Form or Chatbot, process automations, unlimited topics/categories, request quota, and reports.
Business Multiple Help Pages and Contact Forms, Chatbot at ChatGPT level, email bot, more process automations, reports, and optional agent handoff.
Corporate Extensive multilingual customer service automation with multiple Help Pages, Contact Forms, Chatbots, email bots, process automations, reports, languages, data analysis, agent handoff, live chat seats, and WhatsApp integration. Other Flex Custom package with flexible modules, flexible requests, up to 32 languages, custom adaptations, optional data analysis, account management, live chat seats, and integrations.
Target audience
OMQ is primarily aimed at companies with high or recurring support volumes, especially in e-commerce, service-intensive industries, and teams with multiple channels such as website, chat, email, and ticketing systems. The solution is particularly suitable for customer service managers, CX teams, operations leaders, and digital support organizations that want to automate standard inquiries and build a central knowledge base. OMQ is not intended for purely private use or general creative and office tasks.
Outstanding features
OMQ’s strongest features lie in the combination of a central knowledge base, omnichannel delivery, and process-related automation. The company offers not only a chatbot and email bot, but also intelligent Help Pages, smart contact forms, a ticketing system assistant, and AI agents for backend-related processes. Additional features include a no-code editor, reports, agent handoff, multilingual processing, file and website synchronization as knowledge sources, and, according to OMQ, high traceability of the generated responses.
Main use cases
OMQ is particularly strong in classic customer service: FAQ deflection, automatic email responses, chat and messenger automation, intelligent contact forms, consistent responses within the agent team, and handoff of complex cases to humans. In addition, OMQ is also relevant as an internal knowledge management tool, because according to OMQ, Help Pages can be used internally and externally. This makes the solution especially suitable for companies that want to reduce support costs, shorten response times, and deliver consistent answers across channels.
Usage & notes
OMQ is not a general AI assistant like ChatGPT, but a specialized system for support workflows. According to the provider, implementation appears comparatively low-threshold, as a trial phase, preconfigured dialogues, and fast integrations are promoted. Nevertheless, OMQ should primarily be evaluated based on support volume, channel requirements, ticketing landscape, data protection requirements, and the maturity of the knowledge base. From a data protection perspective, the product statements are positive, but a full legal review should additionally include the specific DPA, the hosting setup, and the integrations used.
| Target audience | Assessment |
|---|---|
| SMEs with customer service | Very suitable – for automated responses in the help center, contact form, chatbot, and email support. |
| E-commerce / retail | Very suitable – for standard questions about orders, returns, delivery, products, and service processes. |
| Large enterprises | Very suitable – especially for multilingual, cross-channel customer service with reporting, live chat handoff, and process automation. |
| Support teams / call centers | Very suitable – OMQ reduces recurring tickets and supports agents with a central knowledge base. |
| Private individuals | Not suitable – OMQ is a B2B customer service tool, not a personal AI assistant. |
| Privacy-conscious EU companies | Very suitable – OMQ emphasizes development and hosting in Germany and the EU, as well as GDPR-/EU AI Act-compliant customer service automation. |
Hosting & Data
1) On-prem / local hosting
Meaning: The company operates the solution on its own hardware or within its own infrastructure. In the strictest sense, not only the application runs locally, but ideally the model as well.
2) Private cloud / data center
Meaning: The solution runs in a dedicated or more clearly separated cloud environment, often with a hosting provider or hyperscaler, but in a German data center or in a particularly controlled environment.
3) EU SaaS / managed
Meaning: The provider operates the solution itself as a service. The company uses the tool as a ready-made cloud service, ideally with EU data residency.
4) Hybrid
Meaning: One part of the processing remains internal / local / in a private cloud, while another part runs in an external cloud or EU SaaS.
5) AVV / DPA
Meaning: This is the data processing agreement or Data Processing Addendum. It governs that the provider processes personal data on behalf of the customer and is bound by the customer's instructions.
6) No training
Meaning: The provider does not use your prompts, uploads, attachments, chat histories, or outputs for training or improving the general model — ideally excluded by contract.
7) Open-source / transparency path
Meaning: There is a path toward greater technical transparency and sovereignty, for example through:
- open models
- documented components
- self-hostable parts
- traceable architecture
- export / switching options
| On-prem / local hosting | ❓ |
| Private cloud / data center | ⚠️ |
| EU SaaS / Managed | ✅ |
| Hybrid | ❓ |
| DPA / AVV | ✅ |
| No training on customer data | ✅ |
| Open source / transparency path | ❓ |
On-Prem / local hosting: unclear
An on-premise, local, or self-hostable deployment is not specified on the website.
Private Cloud / data center: partial
There are references to 'secure European cloud infrastructures' and EU servers. However, a dedicated private cloud or customer-specifically segregated data center option is not concretely described on the website.
EU SaaS / Managed: covered
The website describes OMQ as an operated cloud service with hosting in Germany or on EU servers and European cloud infrastructure. For EU/EEA use, an EU SaaS/managed path is therefore clearly documented.
Hybrid: unclear
A hybrid operating model combining internal/local processing and external SaaS is not specified on the website.
AVV / DPA: covered
The website states that data processing agreements are standard. However, a publicly accessible AVV/DPA document was not specifically found on the identified subpages.
No training: covered
The website repeatedly states that no training is performed on customer data or that Microsoft Azure does not store customer data for model training. In addition, no transfer of personal data to third countries and anonymization are described.
Open source / transparency path: indirect / not available
Open-source components, open models, or a documented open-source/self-hosting transparency path are not specified on the website. There are only indirect transparency references such as a structured knowledge base and traceability of responses.
Data processing
The website describes processing within Europe: hosting in Germany, EU servers or European cloud infrastructures, no transfer of personal data to third countries such as the USA, anonymization of personal data, and no training on customer data. Microsoft Azure is named as the processing infrastructure in one PDF; a public list of subprocessors is not specified on the website.
Conclusion
For users throughout the EU/EEA, according to the website information, OMQ is overall well documented and usable: EU/Germany hosting, no transfer of personal data to third countries, DPA as standard, and no training on customer data clearly support a robust GDPR path. Limiting factors are the lack of publicly visible detailed information on subprocessors, exact data centers, and alternative operating models such as on-premise or hybrid.
Sources
- https://omq.ai/
- https://omq.ai/products/contact/
- https://omq.ai/de/produkte/contact/
- https://omq.ai/lexicon/gdpr-compliant-ai-responses/
- https://omq.ai/de/lexikon/dsgvo-konforme-ki-antworten/
- https://omq.ai/de/lexikon/ki-workflows/
- https://omq.ai/lexicon/conversational-commerce/
- https://omq.ai/omq-ai-act-compliance.pdf
- https://omq.ai/de/blog/dsgvo/
- https://omq.ai/lexicon/sustainability/
| On-prem / local hosting | ❓ |
| Private cloud / data center | ⚠️ |
| EU SaaS / Managed | ✅ |
| Hybrid | ❓ |
| DPA / AVV | ✅ |
| No training on customer data | ✅ |
| Open source / transparency path | ❓ |
On-Prem / local hosting: unclear
An on-premise, local, or self-hostable deployment is not specified on the website.
Private Cloud / data center: partial
There are references to 'secure European cloud infrastructures' and EU servers. However, a dedicated private cloud or customer-specifically segregated data center option is not concretely described on the website.
EU SaaS / Managed: covered
The website describes OMQ as an operated cloud service with hosting in Germany or on EU servers and European cloud infrastructure. For EU/EEA use, an EU SaaS/managed path is therefore clearly documented.
Hybrid: unclear
A hybrid operating model combining internal/local processing and external SaaS is not specified on the website.
AVV / DPA: covered
The website states that data processing agreements are standard. However, a publicly accessible AVV/DPA document was not specifically found on the identified subpages.
No training: covered
The website repeatedly states that no training is performed on customer data or that Microsoft Azure does not store customer data for model training. In addition, no transfer of personal data to third countries and anonymization are described.
Open source / transparency path: indirect / not available
Open-source components, open models, or a documented open-source/self-hosting transparency path are not specified on the website. There are only indirect transparency references such as a structured knowledge base and traceability of responses.
Data processing
The website describes processing within Europe: hosting in Germany, EU servers or European cloud infrastructures, no transfer of personal data to third countries such as the USA, anonymization of personal data, and no training on customer data. Microsoft Azure is named as the processing infrastructure in one PDF; a public list of subprocessors is not specified on the website.
Conclusion
For users throughout the EU/EEA, according to the website information, OMQ is overall well documented and usable: EU/Germany hosting, no transfer of personal data to third countries, DPA as standard, and no training on customer data clearly support a robust GDPR path. Limiting factors are the lack of publicly visible detailed information on subprocessors, exact data centers, and alternative operating models such as on-premise or hybrid.
Sources
- https://omq.ai/
- https://omq.ai/products/contact/
- https://omq.ai/de/produkte/contact/
- https://omq.ai/lexicon/gdpr-compliant-ai-responses/
- https://omq.ai/de/lexikon/dsgvo-konforme-ki-antworten/
- https://omq.ai/de/lexikon/ki-workflows/
- https://omq.ai/lexicon/conversational-commerce/
- https://omq.ai/omq-ai-act-compliance.pdf
- https://omq.ai/de/blog/dsgvo/
- https://omq.ai/lexicon/sustainability/
Strengths & weaknesses at a glance
| Strengths | Weaknesses |
|---|---|
| • Broad omnichannel setup for chat, email, contact form, help center, and ticketing. | • Very clearly focused on customer service; only suitable to a limited extent as a general AI tool. |
| • Fast integration; the chatbot is described as integrable in about 10 minutes. | • The public privacy policy for the website is dated old (as of 27/04/2022). |
| • Over 30 languages and a central knowledge base. | • US transfers for tracking/targeting are mentioned at the website level. |
| • Public pricing overview instead of pure sales-only transparency. | • A publicly downloadable DPA/AVV could not be verified. |
| • Strong focus on customer service automation, reports, and process automation. | • For more complex setups, additional costs may arise due to integrations/additional modules. |
| • German company with clear positioning regarding GDPR/EU AI Act. |
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GDPR-compliant usage possible?
OMQ states multiple times on its own website that use is possible in compliance with the GDPR. For the EU/EEA area, it is particularly relevant that OMQ specifies EU servers, no transfer of personal data to third countries such as the USA, hosting in Germany or in European cloud infrastructures, as well as standard data processing agreements. This documents a clearly substantiated path to GDPR-compliant use in the European area.
Positive
The website mentions, among other things, the following points: 'GDPR-compliant', 'Hosted in Germany', 'All workflows run on EU servers', 'no personal data to third countries', standard AVV/DPA, as well as 'no training on customer data'. In addition, an anonymization algorithm is described that removes personal data.
Negative
Important detailed documentation can only partially be found specifically on the website. A separately and clearly linked current privacy policy for the product, a publicly viewable subprocessor list, specific information on individual data center locations, a directly accessible AVV/DPA text, as well as detailed information on on-premise, private cloud, or self-hosting options are not stated on the website or are not specifically substantiated in the material found.
Server location
The website states hosting in Germany. In addition, 'EU servers' as well as 'secure European cloud infrastructures' are described. Another reference found mentions the main AI server region in central Sweden. Specific data centers or country lists are not stated on the website.