
IQgo
The operating system for ESG, supporting sustainability and ESG data collection, monitoring, optimizing, reporting and benchmarking.
Date | Investors | Amount | Round |
---|---|---|---|
investor investor | €0.0 | round | |
* | N/A | Support Program | |
Total Funding | 000k |
USD | 2023 |
---|---|
Revenues | 0000 |
EBITDA | 0000 |
Profit | 0000 |
EV | 0000 |
EV / revenue | 00.0x |
EV / EBITDA | 00.0x |
R&D budget | 0000 |
Source: Dealroom estimates
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ESGgo is a tech startup that offers a deep-tech data engine designed to streamline and simplify the process of collecting and reporting sustainability data. The company's primary market is enterprises seeking to digitize their Environmental, Social, and Governance (ESG) journey and achieve sustainability independence.
The ESGgo data engine is capable of ingesting data in any format, including complex spreadsheets, third-party data, and APIs from internal systems. It then cleans, normalizes, and matches this data to any framework or new and upcoming regulation for reporting purposes. This eliminates the need for heavy integrations and major investments in time and cost for data collection.
The company's business model revolves around leveraging machine learning and AI to generate results that help enterprises reach their sustainability goals. The ESGgo engine integrates with existing systems on the client's cloud and can connect to their enterprise data lake. It also includes a collaboration feature that allows colleagues to work together on data collection.
ESGgo's system standardizes the data submitted by each user, calculates scopes and other data required for reporting, and consolidates it into a report-ready format. It also includes benchmarks for competitive analysis, generates insights, and empowers executives to set key performance indicators (KPIs) and targets.
In terms of revenue generation, ESGgo likely operates on a subscription-based model, where enterprises pay a recurring fee for access to the platform and its features.
Keywords: Sustainability, ESG, Data Collection, Data Normalization, Machine Learning, AI, Enterprise, Digital Transformation, Reporting, Subscription Model.