# meinGPT | DSGVO-konforme KI-Plattform für Teams &amp; Unternehmen in der EU

> Markdown mirror of DialtoneApp's public top-site detail page for `meingpt.com`.

URL: https://dialtoneapp.com/top-sites/meingpt.com/index.md
Canonical HTML: https://dialtoneapp.com/top-sites/meingpt.com

## Summary

- Domain: `meingpt.com`
- Website: https://meingpt.com
- Description: ai readable | score 30 | purchase read only
- Label: ai_readable
- Payment surface: Not available
- Purchase boundary: read_only
- Control boundary: unknown
- Rank: 665907

## robots

~~~text
User-agent: *
Allow: /

Sitemap: https://meingpt.com/sitemap.xml
~~~

## llms

~~~text
# meinGPT

> meinGPT is a GDPR-compliant Enterprise AI Operating System built and hosted in Germany. It provides access to 28+ AI models (GPT-5, Claude Opus 4.1, Gemini 2.5/3, DeepSeek, Mistral, Llama, Perplexity), 28 built-in tools, custom AI assistants with on-premise RAG, no-code workflow automation, 24+ native connectors, and an integrated AI academy with gamification. All data stays in the EU. Built by SelectCode GmbH, Munich. Over 150 enterprise rollouts completed.

Detailed product documentation: [llms-full.txt](https://meingpt.com/llms-full.txt)

## Product Pages

- [Homepage](https://meingpt.com): Overview of the platform — 28+ models, 28 tools, 4 use-case classes
- [AI Assistants](https://meingpt.com/ai-assistants): Custom AI agents with knowledge bases, connectors, and 4-layer governance
- [AI Workflows](https://meingpt.com/ai-workflows): No-code multi-step automation with per-step model selection
- [AI Tools](https://meingpt.com/ai-tools): Built-in tools: web search, code sandbox, image generation, Excel, charts, translation
- [Integrations](https://meingpt.com/integrations): 24+ native connectors (M365, Google, HubSpot, Jira, databases) + custom MCP
- [AI Academy](https://meingpt.com/ai-academy): Integrated e-learning with 10 gamification levels and prompting courses
- [AI Campus](https://meingpt.com/ai-campus): Enterprise AI training and enablement programs
- [Security](https://meingpt.com/security): Hetzner hosting (Germany), ISO 27001, 4 data protection levels, Zero-Trust
- [Pricing](https://meingpt.com/pricing): €29/user/month individual, enterprise volume pricing on request
- [Customers](https://meingpt.com/customers): Enterprise customer references
- [Case Studies](https://meingpt.com/case-studies): Customer success stories with proven adoption and ROI

## Conversion Pages

- [Demo](https://meingpt.com/demo): Request a live product demo
- [Contact](https://meingpt.com/contact): Contact the sales team
- [Pilot Program](https://meingpt.com/pilot-program): Start a structured 90-day pilot (€9k-€20k, 15-50 users incl. workshops)

## Industry & Role Hubs

- [AI Sales Hub](https://meingpt.com/ai-sales-hub): AI use cases for sales teams
- [AI Developer Hub](https://meingpt.com/ai-developer-hub): Developer-focused AI tooling and API access
- [Custom Development](https://meingpt.com/custom-development): Custom AI solution development
- [Custom Integrations](https://meingpt.com/custom-integrations): Tailored integration development

## Partner & Company

- [About Us](https://meingpt.com/about-us): SelectCode GmbH, Munich
- [Partnerships](https://meingpt.com/partnerships): Partner program for consultancies, resellers, system integrators
- [Career](https://meingpt.com/career): Open positions
- [Events](https://meingpt.com/events): AI events, workshops, webinars
- [Blog](https://meingpt.com/blog): Product updates, AI insights, best practices
- [Resources](https://meingpt.com/resources): Whitepapers, guides, downloads

## Documentation

- [Documentation Portal](https://docs.meingpt.com): Full product documentation
- [User Guide](https://docs.meingpt.com/de/platform): End-user platform guide
- [Admin Guide](https://docs.meingpt.com/de/admin-guide): Administration and 4-layer governance
- [Prompting Guide](https://docs.meingpt.com/de/prompting/01-basics-introduction): AAA Framework, techniques, applications
- [Rollout Guide](https://docs.meingpt.com/de/rollout-guide): 3-phase enterprise deployment methodology
- [API Reference](https://docs.meingpt.com/de/api): OpenAI-compatible REST API (drop-in replacement)
- [Privacy & Security](https://docs.meingpt.com/de/privacy-security/privacy-security-overview): 4 data protection levels, GDPR, compliance
- [Integrations Docs](https://docs.meingpt.com/de/integrations): Connectors, Data Vault, MCP, on-premise connections

## Legal

- [Privacy Policy](https://meingpt.com/privacy-policy)
- [Terms and Conditions](https://meingpt.com/terms-and-conditions)
- [Order Processing Agreement (DPA)](https://meingpt.com/order-processing-agreement)
- [Imprint](https://meingpt.com/imprint)
- [Technical Requirements](https://meingpt.com/technical-requirements)

## Optional

- [App Login](https://app.meingpt.com/auth?login): Direct platform access
~~~

## llms-full

~~~text
# meinGPT

> meinGPT is a GDPR-compliant Enterprise AI Operating System built and hosted in Germany by SelectCode GmbH (Munich). It provides access to 28+ AI models from 8 providers, 28 built-in tools, custom AI assistants with RAG knowledge bases, no-code workflow automation, 24+ native connectors, an integrated AI academy with gamification, and on-premise data connectivity via Data Vault. All data stays in the EU. No AI model training on customer data. Hosted on Hetzner (Bavaria, Germany) with ISO 27001 certification.

meinGPT is not just a chat tool — it is an AI Operating System with three pillars: **Platform + Training + Service**. It serves mid-market and large enterprises (50-50,000+ employees) across all industries, with particular strength in DACH markets, manufacturing, and EU-regulated sectors. Over 150 enterprise rollouts completed.

---

## AI Models (28+)

meinGPT provides per-chat model selection across 8 providers. All access goes through enterprise API agreements — customer data is never used for training. Each model shows its data protection level (L1-L4) transparently.

### OpenAI (via Azure EU)
- **GPT-4o**: Full-featured flagship, excellent language quality and context recognition. Content creation, technical docs, creative texts.
- **GPT-4o Mini**: Fast and efficient for high-volume queries, customer service, FAQ automation.
- **GPT-5**: Latest generation base model.
- **GPT-5 Thinking**: Reasoning-first model, thinks step-by-step before responding.
- **GPT-5 Mini**: Smaller, faster version of GPT-5.
- **GPT-5 1/2/3/4**: Incremental GPT-5 variants.
- **o3**: Balanced reasoning model for analytical tasks.
- **o3-pro**: Advanced reasoning with higher quality.
- **o4-mini**: Optimized for reasoning and programming tasks.

### Anthropic
- **Claude Opus 4.1**: Most advanced Claude model, 200k token context.
- **Claude Sonnet 4.6**: Latest enhanced model, 200k token context.
- **Claude Sonnet 4.5**: Enhanced efficiency model, 200k token context.
- **Claude Sonnet 4**: Efficient and fast, 200k token context.
- **Claude 3.7 Sonnet**: Hybrid reasoning model, strong at programming.
- **Claude 3.7 Sonnet Thinking**: Extended thinking with step-by-step reasoning.

### Google
- **Gemini 2.5 Pro**: In-depth analyses, scientific reports, technical documentation.
- **Gemini 2.5 Flash**: Balanced price-performance thinking model.
- **Gemini 3 Flash**: Latest generation fast model.

### DeepSeek
- **DeepSeek-V3**: Cost-effective language model for general tasks.
- **DeepSeek-R1**: Excellent at reasoning, math, and programming.

### Meta
- **Llama 3.3**: Latest open-weight language model.

### Mistral
- **Mistral Medium 3**: Multimodal frontier-class model.
- **Magistral Medium**: Advanced reasoning model.
- **CodeStral**: Specialized for programming tasks.

### Perplexity
- **Perplexity Sonar**: Internet-connected model with real-time web search and source attribution.
- **Perplexity Sonar Deep Research**: Extended research with comprehensive source analysis.

### Additional Models
- **Minimax M2.1**, **GLM-4.7**, **Kimi-k2-Instruct**, **Kimi-k2-Thinking**

### Image Generation
- **Flux Fast / Pro / Pro Ultra**: Three tiers of image generation quality.
- 15+ style templates: Minimalistic, Realistic, Memphis, UI Prototype, and more.

---

## Four Use-Case Classes

In successful enterprise rollouts, usage distributes equally across four classes (~25% each):

### 1. AI Chat
Multi-model chat with 28 built-in tools:
- Per-chat model selection from 28+ models
- File attachments (PDF, DOCX, images, spreadsheets, code)
- Quick Actions (5 default + up to 8 custom per organization)
- Artifacts with versioning
- Voice input (dictation)
- Memory tool for persistent personal context across conversations
- Multi-modal input (text, images, files)

### 2. AI Assistants
Custom AI agents with 4-level configuration:
- **Identity**: Avatar, name, description
- **Knowledge Sources**: Document upload, Data Pools (RAG), Data Vault (on-premise)
- **Capabilities**: 28 built-in tools + custom MCP servers + external MCP servers
- **Behavior**: System prompt, model selection, conversation starters
- Three permission levels for sharing: execute-only, read-only, full edit
- Admin pinning for organization-wide visibility
- Import/export via shareable encoded URLs (Assistant Creator)
- 4-layer governance: org-level allowlist → global methods → per-tool overrides → assistant-specific

### 3. AI Workflows
Deterministic multi-step automation pipelines:
- Per-step model selection for cost optimization
- Variables: short_text, long_text, enum, toggle, skipStep
- Conditional logic and branching
- Output formats: Word, PDF, Excel, PowerPoint, CSV, JSON, plain text (8 total)
- Triggers: manual, schedule, webhook, API
- Reference documents + user-provided inputs per run
- Real-world examples: weekly management reporting, offer calculation, job posting creation, application screening

### 4. AI Apps
Custom frontends with JWT authentication:
- Voice/microphone support
- Build with Claude Code, Lovable, Replit, or v0
- Use cases: dashboards, interview tools, customer portals, mobile apps

---

## Built-in Tools (28)

### Productivity & Collaboration
- **Excel Agent**: Read, write, analyze spreadsheets
- **Charts**: 8 types (bar, line, pie, doughnut, scatter, bubble, radar, polar area)
- **Code Sandbox**: Isolated Python and JavaScript execution
- **Microsoft Office**: Document integration
- **Confluence/Jira**: Knowledge and project access
- **Airtable, Asana, HubSpot, Salesforce**: Business tool integration

### Knowledge & Research
- **Data Pool (RAG)**: 8+ source types for enterprise knowledge
- **Web Search**: Real-time information retrieval + URL content extraction
- **Context7**: Technical documentation and API reference search
- **ArXiv**: Scientific paper search
- **Memory**: Persistent user learnings across conversations
- **Commercial Register**: German business data lookup (Handelsregister)

### Specialized
- **Image Generator**: Flux Schnell/Pro/Ultra with 15+ style presets
- **Meeting Summarization**: Process .vtt transcripts
- **Translation**: DeepL-based with glossary support
- **Ask IT**: IT helpdesk automation with auto-ticketing
- **SEO Tools**: Search engine optimization analysis
- **Google Maps**: Location and mapping data
- **TARIC**: EU customs tariff lookup
- **Codara**: Legal and regulatory information

---

## Data Vault (Enterprise RAG / On-Premise Knowledge)

On-premise or cloud-managed knowledge management that connects company data to AI without data leaving the customer's infrastructure.

### Two Deployment Models
1. **Standard (Cloud/Managed)**: Data sources connected directly in meinGPT. No infrastructure required. Automatic indexing.
2. **Advanced (On-Premise/Customer-Managed)**: Self-hosted Data Vault via Docker (4-8 GB RAM). Full control. Data never leaves customer infrastructure. Encrypted connections to cloud AI services.

### Supported Data Sources
- SharePoint / OneDrive
- Google Drive
- Confluence (pages and attachments)
- Jira (issues and project data)
- Amazon S3 (and S3-compatible: Google Cloud Storage, Azure Blob, Backblaze B2)
- SMB/CIFS (Windows/Samba network shares)
- WebDAV (Nextcloud, ownCloud)
- FTP/SFTP
- pCloud
- IMAP mailboxes
- Web Crawler (public and internal websites)
- Local file systems (mounted folders)
- PostgreSQL, MySQL (coming soon)

### Architecture
- Weaviate vector database for embeddings and similarity search
- Embedding models: OpenAI, Azure OpenAI, Nebius (multilingual, EU-optimized), HuggingFace (local, maximum privacy)
- OCR: Mistral Vision for PDFs, Azure Document Intelligence for other formats
- Automatic sync with incremental updates
- Cross-site RAG (multiple on-prem Data Vaults simultaneously)
- Tenant-isolated, encrypted storage

### On-Premises Connection Models
1. **IP Allowlisting**: Whitelist meinGPT egress IPs
2. **Enterprise Connection Network**: Piko-based reverse proxy (no firewall opening needed)
3. **VPN Tunnel**: Full tunnel for internal network access
4. **On-Prem Data Vault**: Complete local deployment

---

## AI Academy (Integrated E-Learning)

Built-in learning platform — not external training, but a product feature integrated into meinGPT.

### Gamification & Progress
- 10 levels (Beginner → AI Master)
- XP system (AI Knowledge Points)
- Tracking: completed courses, awarded points, solution attempts
- Course management with workshops
- Teach mode for instructors to create custom courses
- Mandatory courses configurable by admins

### Learning Paths
- **Basics**: Five pillars of successful prompts, AAA Framework (Assumptions/Assignment/Answer), prompt elements, best practices
- **Techniques**: Zero-Shot, Few-Shot, Chain-of-Thought, Knowledge Generation, Self-Consistency, Tree-of-Thoughts, Prompt Chaining, Meta-Prompting
- **Applications**: Text Analysis, Creative Writing, Data Processing, Problem Solving, Workflow Integration
- **Expert**: Enterprise workflows, agent patterns, advanced prompting
- **Resources**: Prompt templates, checklists, further reading

### Impact
- 43% of German companies offer no AI training (Bitkom 2025) — meinGPT closes this gap
- 70% of employees get no AI upskilling — Academy solves this as integrated feature

---

## Integrations (24+ Native Connectors)

### Native Connectors (Live API, User Context)
- **Microsoft 365**: Outlook (email, calendar), Teams (chat), SharePoint (documents), OneDrive (files) — OAuth delegated
- **Google Workspace**: Gmail, Google Drive, Google Calendar
- **Jira & Confluence**: Issues, project data, wiki pages, attachments
- **HubSpot**: CRM contacts, deals, tickets, marketing automation
- **Salesforce**: CRM operations and data
- **Stripe**: Payment data, transactions, subscriptions
- **Databases**: PostgreSQL, MySQL, SQLite via MCP Database connector
- **Asana**: Project management
- **Linear**: Issue tracking
- **Airtable**: Database operations
- **PayPal**: Payment data and transactions
- **Plaid**: Financial data aggregation
- **Sentry**: Error monitoring
- **Square**: Payment processing
- **TLDV**: Meeting recordings and transcripts
- **HTTP/REST**: Generic API connector for any endpoint
- **Outlook Add-in**: In-client AI integration

### MCP (Model Context Protocol)
- Custom MCP servers via HTTP Streaming or SSE
- Remotion Video Server (AI video generation)
- Browser Automation Server (web automation, screenshots, PDF)
- Context7 Documentation Server (technical docs, API refs)
- n8n as MCP endpoint
- JWT Identity Forwarding for secure user context
- On-premise MCP for internal systems behind firewalls

### Automation Platforms
- **Make**: Full integration (live)
- **n8n**: Workflow automation
- **Power Automate**: Microsoft integration

---

## Administration & Governance

### 4-Layer Tool Policy (Central Innovation)
1. **Org-Level Tool Allowlist**: Which tools exist at all
2. **Global Methods Policy**: READ_ONLY → READ_WRITE → FULL → CUSTOM
3. **Per-Tool Method Overrides**: Granular per-tool permissions
4. **Assistant-Specific enabledMethodIds**: Fine-grained per-assistant control

Method classification: read, write, dangerous (dangerous default off). Runtime enforcement — methods outside admin policy cannot execute.

### RBAC & SSO
- Workspace, Team, User level permissions
- Microsoft Entra ID SSO with group sync
- Teams as primary permission boundary
- API keys (user-level and org-level)
- Audit logging of all operations

### AI Cockpit (Analytics)
- Prompt volume and trend monitoring
- Active user tracking with timeline
- Workflow runs per day and estimated time saved
- Most used workflows ranking
- Department-level adoption insights
- Top users (configurable anonymization)

### Pricing
- **Individual licenses**: €29 net per user/month (all-inclusive, no minimum commitment)
- **Enterprise pricing**: Significantly lower per-user costs depending on rollout size — contact sales for a custom quote
- **Pilot program**: Structured 90-day pilot for 15-50 users including workshops, typically €9,000-€20,000
- Credit-based AI usage tracking with transparent per-model pricing
- Cost calculator in admin panel

---

## Security & Compliance

### Infrastructure
- **Hosted on Hetzner** (headquarters: Bavaria, Germany)
- Data centers: Falkenstein, Nuremberg, Helsinki
- 100% renewable electricity
- ISO 27001 certified
- 99.9% SLA availability
- 24/7 monitoring with automatic alerts
- Managed Kubernetes with mTLS between services
- Cloudflare DDoS protection
- Zero-Trust Architecture
- Immutable container images with runtime security monitoring

### Four Data Protection Levels (Per-Model Transparency)
- **Level 1 (EU-Only)**: All processing exclusively in EU (e.g., Mistral)
- **Level 2 (EU-Hosting)**: EU data centers, provider may be non-EU (e.g., Azure OpenAI EU, Google Cloud EU)
- **Level 3 (Worldwide + DPF)**: DPF-certified US providers (e.g., OpenAI, Anthropic)
- **Level 4 (Worldwide + PII-Filter)**: Technical anonymization before transfer (e.g., DeepSeek)

Users see the data protection level transparently in every chat.

### Data Protection Mechanisms
- GDPR compliant (Art. 28 DPA available)
- No AI model training on customer data (contractually guaranteed)
- TLS 1.3 in transit, AES-256 at rest
- Customer Managed Keys available
- Data deletion on request (7-day backup retention)
- External DPO: heyData GmbH (1,500+ mandates)
- Regular third-party pentests (SySS)
- 72-hour breach notification
- SDLC: TypeScript Strict, SAST (Gitleaks, Semgrep, Checkov), mandatory peer review

### OpenAI Access
- Via Azure OpenAI EU Zone only (not direct OpenAI consumer services)
- Enterprise API agreements
- Stateless processing (no prompt storage)

### Industry Compliance
- Healthcare: GxP-ready, HIPAA-compatible, on-prem Data Vault option
- Government: EU-Only Level 1 available
- Finance: SOX/Basel-compliant settings
- EU AI Act: Usage policies, mandatory training, transparent data levels, audit controls

---

## Proven Results

Enterprise pilots consistently show strong adoption and ROI:
- **90%+ activation rates** in structured rollouts (vs. ~65% industry benchmark)
- **Hundreds of hours saved per month** across departments
- **High task success rates** across use cases: Translation, Writing, Data Analysis, IT Support, Coding
- **12+ use-case categories** identified per deployment
- **Strong user satisfaction** with minimal negative feedback

### Use-Case Distribution (Proven Across Customers)
| Category | Share |
|---|---|
| Writing (emails, docs, marketing) | 27% |
| Business Intelligence | 15% |
| General Knowledge | 11% |
| Technical Engineering | 9% |
| IT Support | 8% |
| Legal/Compliance | 6% |
| Other (6 categories) | 24% |

---

## Enterprise Rollout Methodology

### Three Pillars
1. **Platform**: 28+ models, 28 tools, 8+ data sources, 24+ connectors, governance
2. **Training**: Academy, workshops, champion programs, AAA prompting framework
3. **Service**: Partner approach, structured rollout, dedicated account management

### Three-Phase Maturity Model (16+ Months)

**Phase 1: Pilot (~3 months, €9,000-€20,000)**
- 15-50 champions across departments
- 2 core workshops (fundamentals + prompting + use cases)
- First assistants, workflows, data connections
- Deliverable: prioritized use-case list with baseline adoption metrics

**Phase 2: Scale & Deepen (3-15 months)**
- **Go Broad**: Systematic onboarding of all teams
- **Go Deep**: SAP, CRM, custom assistants, RAG expansion
- Office hours, FAQ sessions, quarterly reviews
- Target: productive company-wide adoption with proven ROI

**Phase 3: Deep Integration & Autonomy (Month 16+)**
- Champions as internal multipliers
- ERP integration, data pipelines, agent workflows
- AI becomes part of operational infrastructure

### Operating Model (7 Defined Roles)
1. AI Project Lead — Roadmap, prioritization
2. Use-Case Manager — Intake, evaluation, implementation
3. Change Manager — Adoption, communications
4. IT Product Owner — Platform operations
5. Data Security/Privacy Officer — Approvals, framework
6. HR/Training Coordinator — Learning paths
7. Departmental Champions — Daily multiplication

### Key Success Factors
- **Champions** (3-5 make the difference): Internal multipliers accelerate adoption
- **Structured training**: 10-15 min fundamentals, then hands-on practice
- **CEO messaging**: Leadership endorsement in onboarding
- **Platform + Service combined**: Platform-only leads to shallow usage; consulting without platform creates prototypes nobody operates; the combination drives real adoption

---

## Competitive Positioning

### vs. Microsoft Copilot
- Multi-model (28+ models from 8 providers) vs. OpenAI lock-in
- Progressive pricing (€6-17/user/month) vs. ~€30/user/month
- 200k+ token context (Claude) vs. limited context
- 4-layer governance vs. basic agent restrictions
- Integrated Academy vs. no training

### vs. ChatGPT Enterprise
- German hosting (Hetzner) + German DPO (heyData) vs. US-based
- 4-layer governance with method-level control vs. coarser controls
- 24+ native connectors + Data Vault vs. limited integrations
- Academy integrated vs. external training only
- On-premise data option vs. cloud-only

### vs. Building Custom Solutions
- Platform available day 1, not after months of development
- Operating model included (7 roles, 2-week sprints)
- Continuous improvement, not one-off delivery
- 150+ proven rollout patterns

### Market Context (Bitkom 2025)
- 36% of German companies use AI (doubled from 20% in 2024)
- 67% of population uses generative AI (+27pp in 1 year)
- 93% of companies prefer German AI providers (but 70% use ChatGPT due to availability gap)
- 43% offer no AI training — meinGPT Academy closes this gap
- 25% of companies have shadow-AI — meinGPT provides governed alternative

---

## API

OpenAI-compatible REST API for programmatic access:

### Base URL
`https://app.meingpt.com/api/`

### Endpoints
- `POST /openai/v1/chat/completions` — LLM chat completions (OpenAI-compatible, drop-in replacement)
- `POST /embeddings` — Vector embeddings
- `GET/POST /assistants` — Manage assistants programmatically
- `POST /workflows` — Execute workflows with variable injection
- `POST /transcript` — Audio transcription
- `GET/POST /user-management` — User operations
- `GET/POST /assistant-files` — File management
- `GET /models` — Available model information

### Authentication
- Bearer token, API key generation in settings
- Rate limiting: Standard 100 req/min, Enterprise custom

---

## Company

- **Company**: SelectCode GmbH
- **Product**: meinGPT
- **Headquarters**: Munich, Germany
- **Website**: https://meingpt.com
- **App**: https://app.meingpt.com
- **Documentation**: https://docs.meingpt.com

## Pages

- [Homepage](https://meingpt.com)
- [AI Assistants](https://meingpt.com/ai-assistants)
- [AI Workflows](https://meingpt.com/ai-workflows)
- [AI Tools](https://meingpt.com/ai-tools)
- [Integrations](https://meingpt.com/integrations)
- [AI Academy](https://meingpt.com/ai-academy)
- [AI Campus](https://meingpt.com/ai-campus)
- [Security](https://meingpt.com/security)
- [Pricing](https://meingpt.com/pricing)
- [Customers](https://meingpt.com/customers)
- [Case Studies](https://meingpt.com/case-studies)
- [Demo](https://meingpt.com/demo)
- [Contact](https://meingpt.com/contact)
- [Pilot Program](https://meingpt.com/pilot-program)
- [AI Sales Hub](https://meingpt.com/ai-sales-hub)
- [AI Developer Hub](https://meingpt.com/ai-developer-hub)
- [Custom Development](https://meingpt.com/custom-development)
- [Custom Integrations](https://meingpt.com/custom-integrations)
- [About Us](https://meingpt.com/about-us)
- [Partnerships](https://meingpt.com/partnerships)
- [Career](https://meingpt.com/career)
- [Events](https://meingpt.com/events)
- [Blog](https://meingpt.com/blog)
- [Resources](https://meingpt.com/resources)
- [Privacy Policy](https://meingpt.com/privacy-policy)
- [Terms and Conditions](https://meingpt.com/terms-and-conditions)
- [Order Processing Agreement](https://meingpt.com/order-processing-agreement)
- [Imprint](https://meingpt.com/imprint)
- [Technical Requirements](https://meingpt.com/technical-requirements)
- [Documentation](https://docs.meingpt.com)
- [API Reference](https://docs.meingpt.com/de/api)
~~~