> For the complete documentation index, see [llms.txt](https://docs.cybertig.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cybertig.com/readme/executive-summary.md). # Executive summary Cybertig’s core thesis, model, and utility proposition. ## Executive summary Cybertig is a family-run Engineering, Procurement, and Construction firm with multi-decade experience in heavy industry. The operating team has delivered multi-ton industrial air filtration and emissions control systems across Europe, with strong execution roots in Eastern Europe. Cybertig ($TIG) is a real-world asset decentralized physical infrastructure network focused on financing, deploying, and operating industrial-grade carbon capture and filtration infrastructure. ### Core innovation Industrial facilities receive advanced emissions control systems with **$0 upfront CAPEX**. Cybertig can deploy: * Pulse jet bag filters * Multi-cyclones * Incinerators * Modular capture units In exchange, Cybertig retains ownership of generated carbon assets and performance data. IoT sensors measure pollutant mitigation in real time and anchor the data on-chain. Revenue from B2B carbon credit sales and licensing can then drive automated `$TIG` buybacks and burns. ### Why this matters This model connects real infrastructure, verified environmental performance, and token utility. The goal is to convert market activity into deployed industrial decarbonization assets. ### Long-term utility peg `1 $TIG` is designed to align with **1 kg of verified CO₂ mitigation**. That creates a long-term utility narrative grounded in measurable physical impact. {% hint style="success" %} **Positioning** `$TIG` is presented as infrastructure-backed utility tied to physical equipment, verified mitigation, and recurring revenue. {% endhint %} --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.cybertig.com/readme/executive-summary.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.