--- title: Silent AI date: 2026-05-08T15:24:00+02:00 author: Hannes Heckel canonical_url: "https://www.fast-lta.de/en/products/silent-ai" section: Product Pages --- Enterprise Search · On-Premises · Made in Germany​ # Silent AI. The AI search that stays in-house. On-premises AI assistant on its own dedicated appliance. Hardware, software and support all from a single source. GDPR-compliant by design. Semantic search with source attribution. No hallucinations, no cloud. **Overview & Software** • [Appliance](https://www.fast-lta.de/en/products/silent-ai/appliance) • [CARE](https://www.fast-lta.de/en/products/care) ### GDPR The GDPR (General Data Protection Regulation, EU 2016/679) is the European regulation for the protection of personal data — particularly relevant for IT infrastructure in Art. 5 (principles), Art. 17 (right to erasure), Art. 28 (processors) and Art. 32 (security of processing). [Mehr erfahren →](https://www.fast-lta.de/en/glossary/gdpr) [Book a consultation ](https://www.fast-lta.de/en/fast/contact/ai "Book a consultation")[Download data sheet ](https://fast-lta.files.svdcdn.com/production/files/en-2026-05-Silent-AI-HandOut.pdf?dm=1780640292 "Download data sheet") #### 100% on premises Data never leaves the premises. No cloud risks, no transfers to third countries. #### **Identity Provider Connection**​ LDAP/AD, OIDC/SSO (Okta, Entra ID, Google Workspace) or a hybrid solution. Permissions from the IdP and source system are automatically synchronised. #### No hallucinations RAG architecture. Every answer must include a verifiable source reference. ### RAG (Retrieval-Augmented Generation) RAG is an AI architecture in which a language model does not answer from memory but retrieves answers from a defined, controlled dataset and generates responses on that basis — structurally eliminating hallucinations. [Mehr erfahren →](https://www.fast-lta.de/en/glossary/rag-retrieval-augmented-generation) #### Privacy by design End-to-end encryption, incognito mode, rights management. #### No token limits Fixed costs, full predictability. No pay-as-you-go surprises. version="1.0" encoding="UTF-8"? #### Made in Europe [Appliance](https://www.fast-lta.de/en/products/silent-ai/appliance) from a German manufacturer. Managed with FAST LTA CARE. #### Semantic search Understands content and context, not just keywords. #### Managed appliance All-inclusive [CARE](https://www.fast-lta.de/en/products/care) contract: up to 10 years of maintenance and support. --- ## Use cases and target groups Silent AI is particularly well suited to regulated industries and applications involving sensitive data that cannot or should not be stored with public cloud providers. No data, no prompts and no responses ever leave your premises. #### Research, Development & Patent Expertise R&D teams make scattered research reports, patent applications and test records searchable together — using concepts, not keywords. ###### Why AI search? Research thrives on synonyms and concepts — Silent AI finds content that a keyword search would never uncover. ###### Why on-premises Intellectual property must not leave the appliance. The cloud is structurally unsuitable for this purpose.​ ###### Target audience Pharmaceuticals, medical technology, chemicals, mechanical engineering innovation, IP-driven hidden champions. #### Service and Support Knowledge The hotline and field service teams draw on solutions from historical tickets, maintenance reports and knowledge bases — with a direct link to the source system.​ ###### Why AI search Service knowledge is scattered and written in inconsistent language — yet Silent AI delivers the right solution in seconds.​ ###### Why on-premises Tickets contain customer data and contract details — GDPR-compliant and confidence-building in B2B. ###### Target audience Mechanical engineering firms, IT service providers, medical technology companies and all service organisations. ### GDPR The GDPR (General Data Protection Regulation, EU 2016/679) is the European regulation for the protection of personal data — particularly relevant for IT infrastructure in Art. 5 (principles), Art. 17 (right to erasure), Art. 28 (processors) and Art. 32 (security of processing). [Mehr erfahren →](https://www.fast-lta.de/en/glossary/gdpr) #### Contract and legal research Legal departments can find clauses, case law and framework agreements in seconds — using semantic search rather than laboriously scrolling through SharePoint structures.​ ###### Why AI search Lawyers look for contextual meaning, not keywords. Every result comes with a source — due diligence included.​ ###### Why on-premises Client confidentiality and the protection of trade secrets structurally preclude cloud solutions.​ ###### Target audience Legal departments, law firms, M&A teams, procurement in regulated industries. #### Compliance, audit & internal revision​ Auditors and compliance officers provide evidence with a complete chain of evidence — the source reference also serves as an audit trail. ###### Why AI search Every answer comes with the source — the audit trail is created during the search, not afterwards.​ ###### Why on-premises In many cases, the GDPR, NIS2 and industry-specific regulations do not permit cloud processing.​ ###### Target audience Compliance officers, internal audit, data protection, and ISO- and KRITIS-certified organisations. ### GDPR The GDPR (General Data Protection Regulation, EU 2016/679) is the European regulation for the protection of personal data — particularly relevant for IT infrastructure in Art. 5 (principles), Art. 17 (right to erasure), Art. 28 (processors) and Art. 32 (security of processing). [Mehr erfahren →](https://www.fast-lta.de/en/glossary/gdpr) ### NIS2 The NIS2 Directive (EU 2022/2555) is an EU regulation that obliges essential and important entities to implement specific cybersecurity measures — including demonstrable backup management, crisis management and reporting obligations — with personal liability for management bodies in case of non-compliance. [Mehr erfahren →](https://www.fast-lta.de/en/glossary/nis2) #### Government bodies and public administration Administrative staff can search through files, cases and precedents in minutes rather than hours — with a traceable source for every statement.​ ###### Why AI search Administrative language is inconsistent — Silent AI identifies connections between cases that would otherwise remain hidden.​ ###### Why on-premises Often mandatory under public procurement law, politically desirable — German sovereignty as a genuine selling point.​ ###### Target audience Federal, state and local government, public enterprises, social security providers. #### Making corporate knowledge accessible Intranet, travel expense policies, holiday regulations, IT guidelines: employees ask questions instead of searching — and get the answer, not ten search results. ###### Why AI search One answer from multiple sources — search Confluence, file servers and SharePoint together instead of clicking through them individually. ###### Why on-premises Internal policies and HR content are sensitive enough to warrant a critical assessment of cloud processing.​ ###### Target audience All organisations with extensive knowledge bases — from administration to development. ## Software architecture From the source system to the response: everything is local, everything is traceable. ### The data remains local. The language model is decoupled from the data architecture and can be swapped out (Mistral, Qwen, Gemma, etc.). No data leaves the appliance. Every response includes source references and citations, with hyperlinks to the original documents. ### Source systems SMB, SharePoint,​ Confluence, Exchange,​ Nextcloud, PDF, Web pages…​ ### Connectors Incremental indexing with rights and metadata transfer. ### Vectorisation OCR, image description, semantic embedding in a vector database ### RAG engine Find relevant documents using a similarity search ### LLM (Mistral) Formulates a response based solely on the sources --- ### Connectors You can connect your data sources directly using a wide range of available connectors. The existing permissions structure is fully retained in the process. Further connectors are currently in development / available on request. ![Dozuki | FAST LTA](https://fast-lta.transforms.svdcdn.com/production/logos/Konnektoren/dozuki.png?w=960&q=80&fm=webp&fit=crop&dm=1778494351&s=b9f5c9494f57ce35cdfe5d10340ee5f5) ![8316787 | FAST LTA](https://fast-lta.transforms.svdcdn.com/production/logos/Konnektoren/8316787.png?w=960&q=80&fm=webp&fit=crop&dm=1778494349&s=2a28ad9cd115a780e1dc81471e6819a9) ![4726010 | FAST LTA](https://fast-lta.transforms.svdcdn.com/production/logos/Konnektoren/4726010.png?w=960&q=80&fm=webp&fit=crop&dm=1778494348&s=5e556431d4340cceeed37a785e84ebde) ![11892629 | FAST LTA](https://fast-lta.transforms.svdcdn.com/production/logos/Konnektoren/11892629.png?w=960&q=80&fm=webp&fit=crop&dm=1778676796&s=122e91da13cfd6754a5c37a689021985) --- ## Highlight: Identity Management ### Data protection isn’t a feature – it’s the architecture Silent AI takes existing permissions into account when accessing information from connected source systems. We adopt the permissions structure from your ID provider / IAM, such as LDAP/AD, OIDC/SSO (Okta, Entra ID, Google Workspace) or a hybrid solution. Changes are synchronised automatically. ##### Rights from source systems SMB, SharePoint, Exchange, …: Permissions are automatically inherited. No manual maintenance, no shadow AI. ##### Automatic synchronisation Changes to permissions in the source system are automatically applied. No drift, no risk. ##### Admin ≠ Read access Administrators can manage the system but cannot view user requests. Privacy by Design. ##### AD, Entra and other identity providers Existing roles and permissions determine who is allowed to view what. Logins, logouts and changes to permissions are logged centrally and can be audited. Standard integration, no custom setup required. --- ## Intuitive chat interface Silent AI is just as easy to use as the well-known AI chatbots. ![Second answer | FAST LTA](https://fast-lta.transforms.svdcdn.com/production/images/fast/Second-answer.png?w=960&q=80&fm=webp&fit=crop&dm=1778494779&s=90c5394be73d3136dfc8de827cdb64af) Close modal --- ## The appliance. Hightech made in Europe. The Silent AI Appliance is a fine example of "German engineering". At just 2U in height, it offers enough performance to handle thousands of AI queries per hour. As Silent AI is based on our high-performance [**Silent Bricks** ](https://www.fast-lta.de/en/products/silent-brick-system)storage system, access to local data is not only lightning-fast but also secure, thanks to NVMe storage media. Each of the up to two Silent AI Vault storage modules offers up to 96 TB (gross) and is protected against data loss with triple redundancy. ### AI Appliance An AI appliance is a dedicated hardware unit in which an AI model, computing infrastructure (GPU), data storage and software stack are combined into a ready-to-operate system — as an alternative to a self-built AI server or cloud AI. [Mehr erfahren →](https://www.fast-lta.de/en/glossary/ai-appliance) [Details & Technical Specifications ](https://www.fast-lta.de/en/products/silent-ai/appliance "Details & Technical Specifications") ![SBAI02highquality0002 | FAST LTA](https://fast-lta.transforms.svdcdn.com/production/images/fast/SBAI02highquality0002.jpg?w=960&q=80&fm=webp&fit=crop&dm=1778502828&s=752794119b419b790433b15709735a45) ## Silent AI and the EU AI Act The EU AI Act requires organisations that use AI applications in high-risk sectors — including healthcare, critical infrastructure and HR decision-making — to have a documented risk management system in place, as stipulated in Article 9. Silent AI’s on-premises operation significantly simplifies compliance verification: data flows remain controllable within the organisation’s own infrastructure, access can be logged, and there is no need to assess and document the compliance of an external AI service provider. ### EU AI Act The EU AI Act is the world's first comprehensive legislative regulation of AI systems, in force since August 2024. It classifies AI applications by risk level and sets concrete requirements for transparency, control, data protection and human oversight for high-risk systems. [Mehr erfahren →](https://www.fast-lta.de/en/glossary/eu-ai-act) ## Frequently asked questions #### What sets Silent AI apart from Microsoft Copilot or ChatGPT? Microsoft Copilot and ChatGPT process queries and — depending on the configuration — the associated documents on cloud servers outside your infrastructure. For organisations that process personal data, client information or government-classified content, this generally raises data protection concerns. Silent AI runs entirely on-premises on your own hardware. There is no cloud connection, no external processing step and no transfer of data to third parties. Furthermore, Silent AI provides source references for every response, ensuring that AI results remain traceable and verifiable — a crucial difference for use in regulated and liability-relevant processes. #### What data sources can Silent AI integrate? Silent AI offers pre-configured connectors for popular workplace applications, including file shares and databases, Microsoft and Google applications such as email, calendars, SharePoint/Drive, knowledge management platforms such as Confluence and Dozuki, and others such as Slack. The connectors enable existing document repositories to be integrated directly into Silent AI without the need for complex data migration. We would be happy to clarify which specific systems in your infrastructure are supported during a technical consultation. #### Does Silent AI comply with the requirements of the GDPR? As Silent AI is operated exclusively on-premises and does not transfer any data to external services, it eliminates the key GDPR risk associated with cloud-based AI: the processing of data by third parties in accordance with Article 28 and the associated requirements regarding data processing agreements, transfers to third countries and standard contractual clauses. All data remains under your sole control. For a final data protection assessment in your specific operating environment, we recommend consulting your Data Protection Officer. ### GDPR The GDPR (General Data Protection Regulation, EU 2016/679) is the European regulation for the protection of personal data — particularly relevant for IT infrastructure in Art. 5 (principles), Art. 17 (right to erasure), Art. 28 (processors) and Art. 32 (security of processing). [Mehr erfahren →](https://www.fast-lta.de/en/glossary/gdpr) #### What hardware and software is required for Silent AI? Silent AI is a complete, turnkey appliance featuring an inference GPU and high-performance storage for local databases. Silent AI is based on our state-of-the-art storage system, Silent Bricks, and has been optimised for AI applications. #### How is Silent AI integrated into existing IT infrastructures? Silent AI can be integrated into your IT infrastructure as an appliance via Ethernet. Integration into existing systems is achieved using the supplied connectors, which are preconfigured for common workplace environments. FAST LTA supports the rollout with technical onboarding and ensures that the connection to your data sources works seamlessly. As Silent AI is built on FAST LTA’s proven storage solutions, existing customers benefit from particularly straightforward integration. ### Book a consultation Compare the total cost of a Silent AI system. Book a consultation to discuss your specific requirements with us. We would be happy to demonstrate the system and its capabilities to you. [Personalised advice ](https://www.fast-lta.de/de/fast/kontakt/ki "Personalised advice") ![Felix 00013 | FAST LTA](https://fast-lta.transforms.svdcdn.com/production/images/fast/Felix-00013.jpeg?w=480&q=80&fm=webp&fit=crop&dm=1778650620&s=5e51cbb9a6cd1bfdb61a28ce9d7489cc)Felix Steininger CDO