LLLEms "Linvelo Large Language Models"

LLLEms by Linvelo

LLLEms "Linvelo Large Language Models"

AI Apps Dashboard & AI-powered Assistant for Businesses,
SMEs, and Organisations.

What is LLLEms?

LLLEms – GDPR/BSI-compliant LLMs for Everyday Business

LLLEms is an AI Apps Dashboard and an AI-powered Assistant specifically designed for businesses, organisations, and municipalities – including small and medium-sized enterprises (SMEs).

Text generation, translation, document creation
Research, knowledge management, and project work
AI-powered knowledge management & “Internal ChatGPT”: An internal chatbot that searches internal data sources such as documents, emails, DMS, ERP, and CRM systems, providing quick answers to questions and facilitating onboarding.

LLLEms combines powerful language models with the highest data protection standards – specifically tailored for use in businesses, municipalities, and authorities.

Features

Overview

AI for Business & Administration

LLLems is an AI apps dashboard and an internal assistant that specifically supports employees in companies, SMEs, and organizations with daily tasks such as writing, research, or documentation.

Focus on Data Protection and Security

From the very beginning, LLLems has been designed with GDPR and BSI guidelines in mind – ensuring maximum legal certainty in dealing with AI.

Hybrid System Architecture

The application combines local server structures with secure cloud access to modern language models – controlled via a central gateway.

Local Data Sovereignty through Anonymization

Inputs are anonymized locally before processing. Thus, no personal data leaves the protected infrastructure of the authority.

Traceability through Logging

All inputs and outputs are documented in a tamper-proof manner – for quality assurance, auditing, and transparent further development.

Future-Proof Flexibility

The system allows for a later switch of the LLM provider and can be expanded modularly – ideal for growing demands in companies, organizations, and municipalities.

LLLems for businesses, SMEs, and organisations

Applicable for a variety of use cases

Communication, text analysis, internal & external knowledge provision

Typical challenges

Handling sensitive data (GDPR, BSI)
Lack of secure tools for generative AI
Complex system landscapes & data silos

LLLems provides a solution

Local hosting for complete data sovereignty
Secure access to LLMs: GPT-4, GPT-5, DALL·E, Mistral, LLama via dedicated gateway
No data usage for training – contractually guaranteed

Secure Hybrid Architecture

Architecture of the Hybrid Solution

Hybrid Setup: On-Premise + Cloud (Azure Germany)

Frontend (UI & Control)

Runs entirely on customer systems

API Gateway

Acts as a control layer with filtering and anonymisation logic

Content Filtering

Protection against toxic output

LLMs (GPT-4, GPT-5, DALL·E, Mistral, LLama)

Secured and GDPR-compliant

Anonymisation

Local & rule-based, no transmission of raw data

Logging

All requests/responses traceable for audits

Data never leaves the internal environment unfiltered

Highest data security

Data protection & compliance –
highest standards

GDPR & BSI compliant from the ground up

Anonymisation pipeline

User requests are processed locally – personal data is removed or masked

Private cloud connection

Hosting on-premise or in Microsoft's German data centres in compliance with GDPR

Secure authentication

with Single Sign-On (SSO)

Logging & traceability

All inputs and results are documented – transparent and auditable.

Structured Implementation

Project Implementation – live in 9 weeks

Week	Epic	Content
	Infrastructure & Setup	Azure and/or on-premise, project structure, GDPR configuration
	MVP AI Assistant	LLMs (GPT-4, Mistral, LLama...), prompts and AI algorithms, uploads
	Session Storage	Save, export, delete sessions
	Security & Access	SSO, role assignment, anonymisation
	Project Spaces	User Rights, contexts, history per space
	External Integrations	REST API, webhooks, DMS integration (optional)
	Admin Dashboard	Usage Analysis, Role Management
	Multi-Tenancy	Secure Multi-Tenant Architecture
	On-Prem Deployment	CI/CD, Testing, Monitoring, Handover

Optional: Parallelisation possible, faster implementation with more developers.

Maintenance & Support

Operation, Maintenance & Support after Launch

Maintenance & Further Development (monthly):

Task	Effort (Month)	Description
Error Resolution (Level 1-3)	16–24 hours	Error Analysis, Support, Escalation
Feature Optimisations	8–12 hours	New prompts and AI algorithms, minor UX improvements
Monitoring & Reporting	Continuous	Usage Transparency, Optimisation Potential

Small optimisations possible – without needing to reactivate the whole team.

Connect

Contact us!

Do you have a project in mind or any questions? Fill out the form, give us a call, or send us an email. We look forward to connecting with you and bringing your web ideas to life!