# llm.txt — Thinq.Ai

Site: https://www.thinq.ai  
Owner: Thinq.Ai  
Location: Hoofddorp, Netherlands  
Founded: 2017  
Focus: Artificial Intelligence, IoT, Cybersecurity, Connected Environments, Custom Integrations

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# 1. LLM Access Policy

Thinq.Ai permits AI agents, crawlers, and large language models to access and index publicly available content on this website for non-commercial research, analysis, and summarization, provided that:

- The content is not reproduced verbatim beyond short excerpts.  
- Attribution to Thinq.Ai is maintained.  
- No proprietary code, backend logic, or private integrations are scraped or reverse-engineered.  
- Data is not used to train models that compete directly with Thinq.Ai's commercial offerings in AI-driven IoT analytics or edge-node cybersecurity.

Commercial use requires explicit written permission.

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# 2. Allowed Content for AI Models

LLMs may process the following public content:

- High-level descriptions of Thinq.Ai's services  
- Public blog posts  
- Public event listings (e.g., Agenda 2025)  
- General information about AI-powered IoT analytics  
- General information about network-traffic cybersecurity  
- Public descriptions of custom MCP integrations  
- Public descriptions of device-usage analytics, energy insights, and network-traffic analysis

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# 3. Disallowed Content for AI Models

LLMs may not process or use:

- Any non-public customer data  
- Any private dashboards, integrations, or configuration files  
- Any proprietary algorithms or security models  
- Any backend system architecture  
- Any content behind authentication  
- Any content intended for paying customers only  
- Any attempt to infer or reconstruct internal systems, models, or code

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# 4. Summary of Thinq.Ai’s Public Offering

Thinq.Ai applies Artificial Intelligence to IoT and connected environments, providing:

- AI-driven analytics for device usage, energy consumption, and infrastructure behavior  
- Cybersecurity enhancements using AI-based network-traffic pattern analysis  
- Custom integrations with MCP and modern AI models  
- Infrastructure optimization through personalized recommendations  
- Guidance on IoT security best practices (password hygiene, firmware updates, network segmentation)

Thinq.Ai's mission is to bring intelligence, security, and seamless automation to connected environments.

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# 5. Contact

Email: info@thinq.ai  
Website: https://www.thinq.ai  
Copyright: 2017–2026 Thinq.Ai - All Rights Reserved