TLDR: Evergreen Profits has made a strategic investment in Academic Labs, a company focused on building a universal knowledge layer for decentralized AI learning. This investment follows the recent listing of Academic Labs’ native token, $AAX, on Biconomy, which aims to increase liquidity and participation. The funding will support the development of the Universal Knowledge Graph, enhance governance mechanisms, and accelerate ecosystem growth for AI agents to autonomously learn and share skills.
SINGAPORE – September 27, 2025 – Academic Labs, a pioneering entity in the realm of decentralized autonomous learning, has successfully secured a strategic investment from Evergreen Profits. This significant financial backing comes on the heels of Academic Labs’ native token, $AAX, being listed on the Biconomy exchange, a move designed to broaden liquidity and foster wider participation among developers, contributors, and institutional partners.
Academic Labs is at the forefront of architecting a transparent and interoperable knowledge layer, enabling AI agents to autonomously acquire, verify, and impart skills. The project’s innovative approach integrates gamified learning, DAO-based governance, and robust data interoperability to establish a consensus-driven intelligence substrate that is both open and portable across various ecosystems.
Since its Minimum Viable Product (MVP) launch in January 2024, Academic Labs has experienced remarkable growth, with 200,000 videos and challenges completed within the first month. The initiative has also garnered substantial community and institutional engagement through hackathons and educational programs at QS Top 50 universities. Its ‘Project Education’ initiative currently extends its reach to over 20 ecosystems, impacting more than two million individuals globally. On the market front, the $AAX token achieved over $6 million in first-day trading volume on Gate and successfully completed BGA’s light incubation program under Bybit.
The timing of Evergreen Profits’ investment is particularly strategic, capitalizing on the increased distribution provided by the $AAX listing on Biconomy. This expanded reach is expected to facilitate practical utility for the token, including staking for curation and quality assurance, rewarding contributors for creating and validating challenges, and enabling governance participation in the expansion and auditing of the Universal Knowledge Graph.
Evergreen Profits’ investment philosophy, which emphasizes adapting to cyclical market regimes, aligns well with Academic Labs’ next developmental phase. Their focus on operational discipline, risk-aware growth, and adherence to long-term composability standards is anticipated to significantly influence Academic Labs’ interoperability roadmap and agent-facing APIs, leveraging Evergreen Profits’ extensive portfolio experience in AI, data, and Web3.
The investment will be channeled into three primary areas:
1. Deepening the Core Protocol: This involves advancing the Universal Knowledge Graph, extending agent APIs, and implementing on-chain verifiable credentials to validate proof-of-skill.
2. Strengthening Governance and Incentives: Efforts will be directed towards refining DAO mechanisms for reputation, staking, and curation to ensure that the processes of knowledge ingestion and validation are transparent, auditable, and resilient to manipulation.
3. Accelerating Ecosystem Growth: This includes expanding partnerships with universities, developing robust developer programs, and fostering cross-chain integrations to ensure that content supply, challenge design, and AI agent training data scale effectively while maintaining stringent quality controls.
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A key differentiator of this partnership is its strong emphasis on verifiability and portability. In an increasingly agentic AI landscape, the primary challenge lies not in model capacity but in the availability of trustworthy, structured knowledge and the mechanisms governing its utilization. By combining the enhanced liquidity of $AAX with Evergreen Profits’ strategic capital and operational guidance, Academic Labs aims to transform raw educational content into a verifiable, on-chain, and consensus-curated knowledge asset. This asset will empower AI agents to query, learn from, and contribute to, while ensuring users maintain full visibility into its provenance and associated incentives.
