Academic Labs Secures Evergreen Profits Investment After $AAX Lists on Biconomy, Advancing Universal Knowledge Layer for Decentralized AI Learning
SINGAPORE, Sept. 27, 2025 — Academic Labs, the team behind the pioneering Universal Database of Knowledge for decentralized autonomous learning, has successfully secured a strategic investment from Evergreen Profits.
This announcement follows the recent listing of Academic Labs’ native token, $AAX, on Biconomy. This milestone significantly enhances liquidity and broadens participation while aligning incentives across developers, contributors, and institutional partners.
Understanding Academic Labs:
Academic Labs is constructing a transparent, interoperable knowledge layer where AI agents can independently learn, verify, and impart skills.
By integrating gamified education, DAO-based governance, and data interoperability, the project aims to establish a consensus-driven intelligence foundation that is open, auditable, and transferable across various ecosystems.
Since its MVP launch in January 2024, Academic Labs has experienced rapid adoption, with 200,000 videos and challenges completed within the first month. It has also fostered significant community and institutional engagement through hackathons and courses at QS Top 50 universities. Its Project Education initiative now supports over 20 ecosystems and reaches more than two million individuals globally.
On the market side, the project recorded over $6 million in first-day trading volume on Gate and successfully completed BGA’s light incubation program under Bybit.
Strategic Timing: Post-$AAX Listing on Biconomy
The timing of Evergreen Profits’ investment is strategically crucial. With $AAX recently listed on Biconomy, Academic Labs gains distribution that can solidify real utility: staking for curation and quality assurance, rewards for contributors developing and validating challenges, and governance participation in the expansion and auditing of the Universal Knowledge Graph.
Investor Alignment and Mutual Benefit
Evergreen Profits’ thesis-driven approach, which involves adapting to cyclical market conditions, complements this next phase by emphasizing operational discipline, risk-aware expansion, and standards that support long-term composability. Their portfolio experience across AI, data, and Web3 is expected to inform Academic Labs’ interoperability roadmap and agent-facing APIs.
The investment will be allocated across three primary areas.
First, strengthening the core protocol: advancing the Universal Knowledge Graph, expanding agent APIs, and implementing on-chain verifiable credentials for proof-of-skill.
Second, enhancing governance and incentives: refining DAO mechanisms for reputation, staking, and curation to ensure that knowledge ingestion and validation are transparent, auditable, and resilient to manipulation.
Third, accelerating ecosystem expansion: broadening university partnerships, developer programs, and cross-chain integrations to ensure that content supply, challenge design, and agent training data scale proportionally with quality controls.
This partnership is distinctive due to its focus on verifiability and portability. In an environment increasingly influenced by agentic AI, the primary constraint is not model capacity but rather trustworthy, structured knowledge and the signals that govern its utilization.
By combining $AAX’s expanded liquidity with Evergreen Profits’ cycle-aware capital and operational guidance, Academic Labs aims to transform raw educational content into an on-chain, consensus-curated knowledge asset that AI agents can query, learn from, and contribute back to—while users maintain transparency into its provenance and associated incentives.
About Academic Labs
Academic Labs is developing the first Universal Database of Knowledge that facilitates decentralized autonomous learning for AI agents. These agents assist users in acquiring skills and knowledge, fostering consensus-based intelligence for all of human society. Through gamification, DAOs, and data interoperability, we provide a limitless, transparent, and personalized channel for sharing and learning various skills.
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