# amber

## Kurzbeschreibung
**“A platform for all your company’s knowledge—search, assistant, agents.”**



amber connects internal corporate systems and makes their content accessible via a central AI search. amberAI answers questions based on internal data and cites the sources used. amberAgents automates recurring, multi-step tasks and can trigger actions in other systems via interfaces.

## Claim
A platform for all your company's knowledge – Search, Assistant, Agents

## Geeignet für
- API Integration
- Automation / Workflows
- Images
- Data Analysis
- Data Extraction / Document Analysis
- Design / Graphics
- Email / Communication
- Customer Service & Chatbots
- Marketing & Advertising
- Presentations
- Productivity & Planning
- Research
- Law / Compliance
- Texts / Content
- Translations
- Sales / Sales

## Kernfunktionen
- API Integration
- Automation
- Image generation
- Chatbot
- Data Analysis
- Document analysis
- AI agents
- Research
- Speech recognition
- Text recognition
- Text generation
- Knowledge Base
- Summary

## Preismodell
- **subscription:** **SmartWebsite Basic** Domain, SSL certificate, email accounts, limited website size, and AI website generator.



**SmartWebsite Plus** Basic features plus significantly more subpages, AI text generator and optimizer, AI SEO assistant, and marketingRadar.



**SmartWebsite Pro **Plus features, larger page quota, and rankingCoach for advanced search engine optimization.


**Smart AI Phone Assistant Unlimited** AI phone service with monthly cancellation option, featuring unlimited calls, call forwarding, appointment scheduling, and advanced API integration.
- **other:** **AI Email Assistant** Optional add-on for STRATO plans that include an email account; features drafts, summaries, replies, rephrasing, and translations.



**WordPress Hosting with AI Setup **WordPress hosting with AI-powered initial setup of websites and content.



**SmartWebshop** E-commerce packages with website/shop creation and integrated AI support for setup and content.


**V-Server for LLM Hosting** Virtual servers for independent operation of small and medium-sized open-source language models.



**Dedicated Servers for LLM Hosting** Dedicated hardware for larger models, custom AI services, agents, and controlled enterprise applications.


**OpenClaw and n8n** **Hosting** Server offerings for self-hosted AI agents and workflow automations.

## DSGVO und Datenschutz
**Gesamteinschätzung:** Yes

**Overall assessment:**
****
A Germany-hosted enterprise SaaS platform with the option of deployment on the customer’s own infrastructure. Amber connects enterprise systems via native connectors and creates a search index without requiring all information to be manually migrated to a new knowledge system. The platform combines classic text search, vector search, and semantic search to generate answers with source references.



The product family includes amberSearch for permission-based enterprise search, amberAI as a corporate chat with multiple language models, amberAgents for recurring tasks and actions, and amberProjects for project-related work with chat, history, and results.

amber supports more than 70 integrations. Officially listed among others are Microsoft 365, SharePoint, Teams, Outlook, Confluence, Jira, Salesforce, DATEV, Nextcloud, DocuWare, ELO, d.velop, GitLab, HubSpot, and various on-premise systems. Access rights from the source systems are carried over, ensuring that users only see content they are authorized to view in the source system.

**Data processing:** Depending on the integration, amber processes documents, emails, chat messages, CRM information, wiki content, database entries, images, scans, search queries, prompts, responses, and permission information. The Business plan supports OCR for scanned documents. Via API, MCP, and the Action Layer, agents can retrieve data, update systems, and trigger workflows.


**Hosting:** By default, Managed SaaS on the T Cloud in Germany. Enterprise enables a staging environment and hosting on the customer’s own infrastructure, but according to the provider, this requires appropriate hardware. On-premise sources can be integrated via secure connections.


**Training:** According to amber, customer data is not used to train the language models deployed. The business context is provided via search and RAG at the time of the query.



**Conclusion:**
****
amber is particularly well-suited when internal knowledge is distributed across many systems and needs to be centrally located, queried, and made available to agents without data migration. For small teams without relevant knowledge bases, the platform may be overkill; for mid-sized and enterprise organizations, it is functionally robust and very well positioned in terms of data protection.


[Security at amber](https://ambersearch.de/sicherheit/)


[Privacy Policy](https://ambersearch.de/datenschutz/)

**Overall assessment: **
Very well suited for GDPR compliance, subject to the specific
data sources and company settings. amber is operated by amber Tech GmbH, based in Aachen. The provider offers AVV/DPA documentation and technical and organizational measures, and operates an ISO 27001-certified information security management system. According to the provider, the platform is designed in accordance with Privacy by Design and Privacy by Default.



**A positive aspect** is that the platform and search index are operated in German T-Cloud data centers. Virtual network isolation is provided for each customer. amber lists role-based permissions, least-privilege access, 2FA, SAML 2.0, LDAP/Active Directory, encrypted remote access, firewalls, vulnerability scans, and comprehensive audit logging.

amber explicitly states that it does not use customer data to train AI models. According to the provider, the integrated models are deployed in Europe in compliance with the GDPR. Administrators can control which models are used. Processing is based on RAG and search indexes: corporate knowledge is used as context at runtime without retraining a general language model with customer data.


****
**Server location: **By default, Germany on T Cloud infrastructure. With the Enterprise plan, amber can be operated on the customer’s own infrastructure. The specific hardware and operational architecture of the customer’s deployment is agreed upon individually.

Deletion and Retention: Sensitive data can be completely removed from the amber servers upon request; deletion metadata is logged. Backups are created for recovery purposes. The exact retention periods for production data, backups, and the end of the contract should be verified in the respective General Terms and Conditions (AVV) and offer.



**A negative aspect**, or one requiring review, is that amber can integrate numerous external systems and various AI models. Each data source—such as SharePoint, Salesforce, DATEV, Confluence, or email—brings its own permissions, personal data, and retention rules. These source systems and the selected models must therefore be included in the record of processing activities and, if necessary, in a data protection impact assessment.


Conclusion: amber is among the European enterprise AI platforms with stronger data protection measures. To ensure proper implementation, the register of processing activities, retention periods, model approvals, source systems, permission synchronization, and agent actions should be centrally managed by IT and data protection.


[Security at amber](https://ambersearch.de/sicherheit/)


[Privacy Policy](https://ambersearch.de/datenschutz/)

## Hosting und Daten
- **On-Prem / lokales Hosting:** abgedeckt
- **Private Cloud / Rechenzentrum:** abgedeckt
- **EU SaaS / Managed:** abgedeckt
- **Hybrid:** abgedeckt
- **AVV / DPA:** abgedeckt
- **Kein Training auf Kundendaten:** abgedeckt
- **Open-Source / Transparenz-Pfad:** teilweise / indirekt

## Standort
**Land:** Germany

**Taxonomie:** Germany

amber Tech GmbH, Jülicher Straße 72a, 52070 Aachen, Germany

## Vorteile
- Corporate knowledge remains linked to its original permissions.
- Answers include traceable sources.
- No manual full migration of knowledge bases is required.
- Combination of search, chat, deep research, and agents.
- Very broad system and API integration.
- German hosting in the T Cloud.
- ISO 27001-certified information security management.
- AVV and documented TOMs.
- No use of customer data for model training, according to the provider.
- Dedicated infrastructure or on-premises path for Enterprise.
- Administrable model selection and SSO.

## Nachteile
- Minimum purchase quantities apply to the full internal search feature in the professional plans.
- System integration, authorization policies, and data quality require a structured onboarding process.
- According to the provider, on-premises enterprise deployment has high hardware requirements.
- The quality of results depends on the source systems, metadata, and documents.
- Generative responses may be incomplete or incorrect despite RAG.
- Autonomous actions require governance, approval limits, and logging.
- The platform is proprietary; it is not a fully open-source enterprise search solution.
- Some performance claims, such as time savings or efficiency gains, come from the provider and are not substantiated by independent benchmarks.

## Quellen
- Offizielle Website: https://ambersearch.de/

## Letzter Datenstand
2026-06-14

## Originalseite
https://kifox.ai/en/ki-tools/amber-en/