{"id":119290,"date":"2026-04-13T08:38:15","date_gmt":"2026-04-13T06:38:15","guid":{"rendered":"https:\/\/cms.munich-startup.net\/?post_type=ecosystem&p=119290"},"modified":"2026-04-13T08:38:17","modified_gmt":"2026-04-13T06:38:17","slug":"carboninsights","status":"publish","type":"ecosystem","link":"https:\/\/cms.munich-startup.net\/en\/startups\/carboninsights\/","title":{"rendered":"CarbonInsights"},"content":{"rendered":"

The challenge many companies face in dealing with CO\u2082 emissions lies less in a lack of will to reduce them, but rather in the reliable collection and structuring of relevant data. The central bottleneck in current carbon accounting is not the calculation itself, but the availability and processing of emissions-related information.<\/p>\n

Existing solutions often require extensive manual data entry, are based on complex enterprise systems, or are economically difficult for small and medium-sized enterprises to access. At the same time, a large proportion of emissions originate in supply chains and operational processes that, while documented, are not systematically analyzed.<\/p>\n

The CarbonInsight system addresses this very issue by fundamentally shifting the entry point into CO\u2082 accounting. Instead of requiring companies to manually collect data, the system uses existing business documents as the primary data source. Invoices, delivery notes, and energy bills are processed automatically, allowing emissions-relevant activities to be extracted directly from real-world operational data.<\/p>\n

The system architecture combines document processing, structured data extraction, and automated classification. Artificial intelligence is specifically used to interpret unstructured content, while the actual emissions calculation remains rule-based and traceable. This separation enables both scalability and transparency of the results.<\/p>\n

The result is a structured CO\u2082 balance, broken down into categories such as transport, energy, and materials. Beyond mere reporting, the system establishes a direct link between emissions and the underlying operational structures. Based on this, prioritized optimization measures are derived, tailored to the specific business model and identified emission hotspots.<\/p>\n

This approach transforms CO\u2082 accounting from a purely retrospective reporting obligation into a forward-looking analytical tool. By integrating it into existing document workflows, the CarbonInsight system significantly reduces manual effort and makes sound emissions analyses accessible even to companies without specialized sustainability infrastructure.<\/p>\n

In a regulatory environment where transparency about emissions is becoming increasingly mandatory, this approach offers a practical way to gain reliable insights into one's own CO\u2082 footprint and to derive concrete measures for emissions reduction.<\/p>\n<\/div>","protected":false},"featured_media":119291,"comment_status":"closed","ping_status":"closed","template":"","tags":[],"ecosystem_type":[2],"ecosystem_tag":[2742,2749],"acf":[],"yoast_head":"\nCarbonInsights - Munich Startup<\/title>\n<meta name=\"description\" content=\"Das M\u00fcnchner Startup CarbonInsights nutzt vorhandene Gesch\u00e4ftsunterlagen als prim\u00e4re Datenquelle f\u00fcr die CO\u2082-Bilanzierung.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/cms.munich-startup.net\/en\/startups\/carboninsights\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"CarbonInsights - 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500.000 Euro\"}]","_apple_appstore":"","_google_play":"","_user_email":"carbon-insights@hotmail.com","_user_password":"$2y$10$8Z.JtJHyerlc7MjU4RO2n.3yfVyp\/lsx25Bz0GynvmAaVvUNkPsm.","_description_en":"Most companies do not struggle with the intention to reduce emissions, but with the ability to measure them reliably. The primary bottleneck in carbon accounting today is not the calculation itself, but the availability and structuring of relevant data.\r\n\r\nExisting solutions often require extensive manual data entry, rely on complex enterprise systems, or remain economically inaccessible for small and medium-sized businesses. At the same time, a large share of emissions originates in supply chains and operational processes that are documented, but not systematically evaluated.\r\n\r\nThe CarbonInsight system addresses this gap by shifting the point of entry in carbon accounting. Instead of requiring companies to collect and standardize data manually, the system uses existing business documents as its primary data source. Invoices, delivery notes, and energy records are processed automatically, enabling the extraction of emissions-relevant activities directly from operational evidence.\r\n\r\nThe system architecture combines document processing, structured data extraction, and automated classification. Artificial intelligence is applied specifically to interpret unstructured text and identify relevant activity patterns, while emission calculations themselves remain rule-based and transparent. This separation ensures both scalability and traceability of results.\r\n\r\nThe resulting output is a structured carbon footprint, broken down into categories such as transport, energy, and materials. Beyond reporting, the system links emissions to the underlying operational context of the company. Based on this connection, it derives prioritized optimization measures that are aligned with the identified business model and emission hotspots.\r\n\r\nThis approach transforms carbon accounting from a retrospective reporting task into a forward-looking analytical process. By integrating directly with existing documentation flows, the CarbonInsight system reduces the need for manual input while increasing the accessibility of carbon analysis for organizations that lack dedicated sustainability infrastructure.\r\n\r\nIn a regulatory environment where emissions transparency is becoming increasingly mandatory, such an approach provides a practical pathway for companies to establish reliable carbon visibility and to identify concrete opportunities for emission reduction.","_founders_description":"Hinter dem Projekt steht ein 18-j\u00e4hriger Abiturient mit ausgepr\u00e4gtem Interesse an Technologie, Wirtschaft und nachhaltiger Entwicklung. 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\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