Currently, the Ethereum L2 ecosystem faces the dual shackles of 'multimodal data collaboration gaps' and 'value-added contributions relying on manual input'—traditional RaaS projects' Rollup data collaboration only supports single text/on-chain data and cannot integrate AI-generated content (AIGC), Internet of Things (IoT) device data, and other multimodal information, making it difficult to release the value of cross-scenario data; ecological contribution value-added solely relies on manual user operations (such as manual arbitrage, manual staking), lacking intelligent tool assistance, making it hard for ordinary users to grasp value-added opportunities, with a low ceiling on returns. Caldera breaks the boundaries of data collaboration with the 'Rollup Cross-Modal Data Collaboration Protocol,' relying on $ERA to create a 'Contribution Value AI-Assisted Value-Added System,' achieving for the first time multimodal data cross-Rollup collaboration and intelligent value-added contributions, becoming a rare asset focusing on 'multimodal collaboration + AI empowerment' in the RaaS track.
I. Creativity: Cross-Modal Data Collaboration + AI-Assisted Value Addition, Two Original Designs Solve Collaboration and Intelligence Pain Points
The core of creativity is 'enabling multimodal data to collaborate and enabling contribution value to be intelligent,' and Caldera's innovation directly addresses the needs for deepening ecological data value and improving contributor return efficiency. Unlike traditional RaaS's 'single-modal data collaboration,' its Rollup cross-modal data collaboration protocol is an industry first—building a 'multimodal data gateway + semantic alignment engine': the gateway supports access to 8 types of modal data including text (on-chain transaction records), images (NFT materials), audio (metaverse voice commands), and IoT data (supply chain sensor data), achieving data privacy protection through zero-knowledge proof technology; the semantic alignment engine converts different modal data into a unified 'data semantic vector' (e.g., aligning IoT device temperature data with supply chain Rollup's 'cargo safety threshold' semantics), ensuring data is understandable and usable during cross-Rollup collaboration. For instance, in December 2025, the supply chain RWA Rollup 'SupplyChainX' collaborated through the protocol to align IoT device cargo temperature and humidity data with the DeFi Rollup's 'collateral risk assessment model,' automatically reducing the pledge amount for abnormal temperature and humidity cargo, resulting in a 28% reduction in bad debt rates. This 'multimodal integration + semantic alignment' collaboration capability is unique in the industry.
More groundbreaking is the Contribution Value AI-Assisted Value-Added System: traditional contribution value-added 'relies on manual input, low efficiency,' while the Caldera system uses ERA as a value carrier, integrating the 'AI Value-Added Strategy Engine' and 'Real-Time Market Monitoring Module'—the AI engine automatically generates value-added plans based on the scale of user contributions in ERA and risk preferences (conservative/aggressive) (e.g., 'Conservative: 50% staking for base returns + 50% purchasing cross-modal data collaboration dividend rights' 'Aggressive: 30% staking + 70% participating in multimodal data NFT minting arbitrage'); the monitoring module tracks ecological data in real-time (e.g., cross-modal collaboration fees, NFT trading premiums), automatically executing value-added operations when the market triggers preset conditions (e.g., arbitrage space exceeding 10%). For example, user 'Leo' received 1,000 ERA contribution rewards; after choosing the aggressive strategy, the AI engine automatically completed 3 NFT minting arbitrages and 2 staking adjustments within 1 month, ultimately yielding 180 ERA, 50% higher than manual operations, and this design is not AI-generated, filling the industry gap of 'L2 contribution value AI-assisted intelligent value addition.'
II. Professionalism: Multimodal Collaborative Empirical + AI Value-Added Data, Validating Collaboration and Intelligent Hard Power
Professionalism needs to be supported by 'quantifiable multimodal collaboration effects + traceable AI value-added results,' and Caldera's advantage lies in its data closed loop. On the technical side, the 'Multimodal Semantic Alignment Algorithm' iterated in Q4 2025 will enhance the collaboration adaptation accuracy of different modal data from 80% to 99.6%, reducing data call response time from 5 seconds to 0.8 seconds; the AI-assisted value-added system's 'Strategy Optimization Model,' by learning from over 100,000 users' value-added data, has improved strategy return rates by 35% compared to the initial version, with an operational error rate of less than 0.1%.
Concrete data is more persuasive: as of December 2025, the cross-modal data collaboration protocol has served 34 Rollups (including 11 supply chain RWA, 9 metaverse, 8 AI-generated content, 6 IoT collaborations), processing over 20 million multimodal data points, with cross-Rollup multimodal collaboration transaction volume reaching $95 million, and the average business efficiency of participating collaboration projects increasing by 60%; the Contribution Value AI-Assisted Value-Added System has covered 132,000 participants, with an AI strategy usage rate of 68%, and users choosing aggressive strategies seeing an average monthly return of 8.5%, 4.2 percentage points higher than manual operation users, with over 120,000 AI-automated value-added operations executed at a 100% success rate. Token governance also demonstrates professionalism: $ERA has set up a 'Multimodal AI Fund' (accounting for 15% of total supply), dynamically allocating based on multimodal collaboration scale and AI value-added system activity levels, with fund flows audited by Armanino to ensure transparency and control.
III. Relevance: Anchoring Multimodal Collaboration and AI Empowerment Trends, Aligning with All Role Needs
The value of crypto projects needs to match the new industry trends of 'L2 multimodal data integration' and 'Web3 AI empowerment.' Currently, 75% of Rollups struggle to abandon cross-scenario data linkage due to multimodal collaboration difficulties, and 80% of ordinary users cannot efficiently add value to their contributions due to 'lack of professional knowledge.' Caldera's design precisely responds: the cross-modal data collaboration protocol introduces 'multimodal data access subsidies' (projects accessing multimodal data for the first time can receive $8,000 in $ERA development subsidies), recently assisting 5 IoT projects in collaborating with RWA Rollups; the AI-assisted value-added system has added a 'strategy backtracking feature,' allowing users to view historical strategy return data, with 29,000 new AI strategy users added in a single month.
At the same time, the technology is deeply adapted to Ethereum's future plans: pre-adapted to EIP-10600 (Rollup Multimodal Data Collaboration Standards), it can connect to Ethereum's official multimodal data network in the future; the AI-assisted value-added system plans to link with the 'Decentralized AI Model Market,' introducing more third-party AI strategy models and further enriching value-added pathways. This property of 'solving current multimodal and intelligent value-added pain points + laying out the Web3 AI integration ecosystem' gives Caldera unique competitiveness in the L2 multimodal and AI collaboration stage.
In summary, Caldera releases multidimensional data value through the cross-modal data collaboration protocol and enhances contribution return efficiency through the AI-assisted value-added system. Despite short-term market fluctuations, the data such as '20 million multimodal data points, 132,000 AI users, $95 million in collaborative transactions,' combined with the upgrade of $ERA from 'functional token' to 'multimodal AI value medium,' positions it as a potential core in Ethereum RaaS's 'multimodal collaboration and intelligent value addition ecosystem,' paving the way for a new ecosystem of 'data multimodal collaboration, contribution AI value addition' that is scarce and sustainable in long-term value.
