Context Labs, a leading AI-enabled climate technology company enabling enterprise customers to prove the veracity of their environmental performance claims, announced a collaboration with EarnDLT, an enterprise software company pioneering the tokenization of primary environmental data. This collaboration will enable Context Labs’ customers to further commercialize their environmental attributes using EarnDLT’s Quantified Emissions Token® (QET), in addition to their existing trading platforms.
The Context Labs’ Decarbonization-as-a-Service (DaaS™) platform brings together advanced emissions quantification technologies, AI-enabled data ingestion and orchestration, machine learning analytics, and distributed ledger technologies to enable companies to track and trace measured carbon intensity throughout their value chains with unprecedented transparency. By integrating Context Labs’ CLEAR Path environmental attribute inventory with EarnDLT’s system, these tokens will be tradeable on the EarnDLT platform, offering Context Labs customers another liquidity option for their Asset Grade Data (AGD™) environmental attributes. QETs, backed by Context Lab’s Asset Grade Data (AGD™) are designed to meet, or exceed, domestic and international standards like OGMP 2.0 levels 4 and 5 and EU Methane Regulations, and offer industry-leading accuracy and transparency of emissions data for energy buyers.
Embedding AGD Into QETs
Context Labs specializes in transforming complex data into actionable insights through its AI-enabled platform, which ensures data integrity, provenance, and transparency. EarnDLT focuses on tokenizing and trading environmental attributes, using its Quantified Emissions Tokens (QETs) to transfer verifiable and transparent emissions data across the value chain. The integration of Context Labs’ contextual Asset Grade Data with EarnDLT’s platform seeks to enhance the accuracy and trustworthiness of environmental claims, thereby unlocking additional value in the global commodities market for customers.
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Key Highlights of the Collaboration:
Producing Quantified Emissions Tokens (QETs) with Contextual Asset Grade Data (AGD™)
The collaboration will integrate Context Labs’ advanced AI-enabled contextual Asset Grade Data (AGD™) with EarnDLT’s tokenization services, providing global buyers a unique ability to transact in a token-based model. This integration provides a novel way for customers to expand their liquidity options in their decarbonization journeys.
Focus on High-Quality Environmental Attributes: Together, Context Labs and EarnDLT aim to provide the most reliable and transparent environmental attributes for natural gas and its downstream products, such as methanol, fertilizer, and other chemicals. This focus satisfies the increasing demand for robust emissions quantification across product supply chains, which is crucial for mitigating the impacts of global climate change.
Commitment to Transparency and Trust: By utilizing Context Labs’ AGD, the collaboration ensures that all data embedded onto a QET is of the highest quality and is the most reliable and transparent. This commitment to transparency is further reinforced by third-party verification, with Context Labs and EarnDLT providing access to premier verification providers, such as KPMG, SCS Global, and Spirit Environmental for independent verification.
Dan Harple, Founder & CEO of Context Labs, stated, “The collaboration with EarnDLT provides a new source of liquidity and transactability for our customers in their decarbonization journeys. Our Decarbonization as a Service (DaaS™) will literally produce QETs of the highest integrity, and our ClearPath™ Environmental Attributed Repository will now allow customers using their existing trading platforms to expand and utilize the EarnDLT QET token-based approach. Providing optionality for customers, with the highest integrity in data, is a key cornerstone for our ability to help customers accelerate their decarbonization efforts.”
SOURCE: PRWeb