TERYA transforms crowdsourced nature data into AI-verified, on-chain proof-of-nature. This creates verifiable natural assets for financing, trading, and conservation, addressing the lack of ground-truth data in the natural world.
Funding
Funding not disclosed
Founders
Product
Problem
The natural world lacks verifiable, ground-truth data, which hinders investment, regulation, and credit issuance for nature-based assets. This data deficit makes it challenging to finance, trade, and protect natural resources at scale.
Solution
TERYA addresses this by transforming crowdsourced nature data into AI-verified, on-chain proof-of-nature. The platform leverages a decentralized data collection mechanism through its KLIQ application, where users submit geotagged photos of natural elements. This data is then processed by AI models to extract ecological insights, such as species identification and biodiversity metrics. The validated data is recorded on-chain, creating high-integrity natural assets that can be utilized for financing, trading, and conservation efforts. The $NATR token underpins this ecosystem, rewarding contributors and facilitating transactions within the nature-based solutions market.
Target Audience
TERYA targets environmental organizations, carbon market participants, ESG investors, and individuals interested in contributing to and benefiting from verifiable nature data.
Features
- Decentralized data acquisition via the KLIQ mobile application, enabling users to submit geotagged nature photographs.
- AI-driven data validation and ecological insight extraction, including species identification and biodiversity assessment.
- On-chain recording of "proof-of-nature" data, establishing verifiable and immutable records of natural assets.
- Token-based reward system ($NATR) for data contributors, incentivizing participation and data quality.
- Utilization of the NEAR blockchain protocol for secure and transparent data verification and token distribution.
- Development of a comprehensive nature dataset to support carbon markets, insurers, and remote sensing firms.
- Potential for data licensing and integration with existing climate finance and ESG reporting frameworks.