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Gentian
VerifiedUSD | 2022 | 2023 |
---|---|---|
Revenues | 0000 | 0000 |
% growth | - | 260 % |
EBITDA | 0000 | 0000 |
Profit | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x |
R&D budget | 0000 | 0000 |
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor | $0.0 | round |
investor | $0.0 | round | |
investor | $0.0 | round | |
* | $1.6m | Seed | |
Total Funding | 000k |
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Recent News about Gentian
EditGentian.io is a startup that operates in the environmental technology sector, specifically focusing on biodiversity monitoring. The company uses machine learning and remote sensing data to map habitat types, assess urban green infrastructure, identify buildings suitable for green roof retrofits, and monitor land use changes. This is particularly important given the ongoing biodiversity crisis, with many species in decline.
Gentian.io's primary clients are likely to be environmental agencies, urban planners, and companies looking to improve their environmental impact. The company's business model is based on a software as a service (SaaS) model, where clients pay a subscription fee to access the software.
The software uses a proprietary remote sensing system focused on vegetation to quickly and accurately assess biodiversity over wide areas. This approach is not only cost-effective but also allows for large-scale assessments without loss of accuracy. In the past year alone, Gentian has mapped over 150 million square meters of habitat.
The company's use of high-resolution satellite images and AI algorithms allows it to recognize and separate different habitat types remotely and autonomously. This approach is not only fast and precise but also eliminates the need for labor-intensive traditional assessment measures.
In summary, Gentian.io is a tech startup that uses advanced technology to monitor and protect biodiversity. Its innovative approach makes biodiversity assessment more accessible, accurate, and affordable, thereby contributing to global efforts to combat the biodiversity crisis.
Keywords: Biodiversity, Machine Learning, Remote Sensing, Green Infrastructure, Retrofit, Land Use Monitoring, SaaS, Environmental Technology, AI Algorithms, Habitat Mapping.