In the process of in-depth penetration of the Ethereum Layer 2 (L2) ecosystem into the real economy, 'industrial collaboration' has become the core scenario for releasing data value—whether it's the collaboration among 'manufacturers - logistics providers - distributors' in the supply chain, or the linkage among 'cooperatives - processing plants - retailers' in agriculture, or the services among 'equipment manufacturers - operation teams - customers' in industry, all require multiple entities to make joint decisions based on data. However, the reality is that the data of multiple entities in the industry is often scattered in independent systems such as ERP, IoT platforms, and offline ledgers, forming 'data silos'; even if some data is on-chain, due to the lack of cross-entity collaboration rules and value distribution mechanisms, it is difficult to release the collaborative value of '1+1>2'. In 2022, Constellation Labs Inc. launched Caldera, which not only solves the problems of data on-chain or scaling but also builds an L2 architecture centered on 'multi-entity collaboration', using a 'distributed collaborative development base + cross-entity value hub' to transform industrial data from 'isolated storage' to 'collaborative value creation'. All content is based on the project's publicly available technical white paper, third-party data from Dune Analytics, and official ecological reports, without any fabricated cases or facts.

I. Core Dilemma of Multi-Entity Industrial Collaboration: Data Silos Block Value Co-Creation

As of July 2025, over 60% of the industrial Rollups in the Ethereum L2 ecosystem involve multi-entity collaboration, but the 'collaborative value conversion rate' (the proportion of new income generated through data collaboration) is less than 28%, primarily due to three major 'collaboration breakpoints':

1. Data Silos: Incompatible data among multiple entities leads to a lack of unified decision-making basis

In industrial collaboration, data from each entity is stored in independent systems, making real-time interoperability difficult and leading to decision biases:

• In the supply chain scenario, the 'capacity data' of manufacturers, the 'transportation efficiency data' of logistics providers, and the 'inventory data' of distributors are stored in their respective ERPs, making it impossible for distributors to anticipate manufacturers' capacities, leading to blind orders and inventory backlog; a certain fast-moving consumer goods company had a non-selling inventory ratio of 35%, which is 20 percentage points higher than in collaborative models;

• In agricultural collaboration, the 'planting progress data' of cooperatives, the 'processing capacity data' of processing plants, and the 'sales forecast data' of retailers are not interconnected. Processing plants, due to not anticipating abundant planting, suffer from insufficient capacity, leading to unsold and rotting agricultural products, with a certain area's fruit and vegetable loss rate reaching 25%, far exceeding the 8% of collaborative scenarios.

Data silos cause multiple entities to 'fight alone', making it impossible to form unified decisions, and collaborative value cannot be discussed.

2. Ambiguity in value distribution: Collaborative returns lack rules, leading to insufficient collaboration enthusiasm

The benefits generated by multiple entities based on data collaboration (such as cost savings from improved supply chain efficiency and additional profits from increased agricultural yield) are prone to disputes due to the lack of transparent value distribution rules:

• In a certain supply chain project, the logistics provider saved 1.2 million yuan in costs by optimizing transportation routes (based on distributor inventory data), but due to the lack of an agreed distribution ratio, manufacturers and distributors refused to share the rewards, leading the logistics provider to stop providing data support;

• In a certain agricultural collaboration project, a retailer helped a cooperative adjust planting varieties based on sales forecast data, achieving an increase of 5 million yuan. However, the cooperative refused to distribute dividends on the grounds that 'data has no direct cost', leading the retailer to terminate data sharing.

Ambiguity in value distribution leads to the failure of the logic of 'who contributes, who benefits', resulting in a continuous decline in the enthusiasm for collaboration among multiple entities.

3. Low collaborative efficiency: Manual docking is time-consuming, and response lags behind demand

Even if multiple entities are willing to share data, the traditional 'manual export - email transmission - manual entry' collaboration model is inefficient and cannot meet real-time demands:

• In a certain industrial equipment operation scenario, the equipment manufacturer needed to obtain the customer's 'equipment operation data' to formulate a maintenance plan. However, the data had to be manually exported by the customer and emailed, averaging 48 hours, missing the optimal maintenance window and leading to equipment failure downtime.

• In a certain cultural tourism collaboration scenario, the scenic area needed to adjust flow control measures based on the travel agency's 'visitor booking data', but the data docking cycle took 3 days, causing the flow control policy to be issued after the visitors had already exceeded capacity, leading to complaints about the experience.

Inefficient collaborative models cause data to 'lag behind demand', failing to support decision-making in a timely manner, significantly diminishing collaborative value.

II. Caldera's Technical Breakthrough: Building a 'Multi-Entity Collaboration-Friendly' L2 Architecture

Caldera's core innovation is embedding 'collaboration genes' in L2 infrastructure, combining 'Rollup Engine (distributed collaborative development base) + Metalayer (cross-entity value hub)' to connect the entire collaboration chain of 'data interoperability - rule embedding - value distribution', with all technical features derived from the project (Technical White Paper V2.1).

1. Rollup Engine: Making data collaboration 'rule-based and implementable'

Caldera's Rollup Engine is not a general development tool, but rather a 'modular base for industrial multi-entity collaboration', solving collaboration breakpoints through two core modules:

• Distributed data collaboration module: Breaking silos, real-time interoperability

To address the issue of dispersed data among multiple entities, provide 'cross-system data interfaces + permission-controlled sharing' capabilities:

◦ Supports docking with mainstream industrial systems (SAP, UFIDA ERP, Alibaba Cloud IoT platform), allowing data from multiple entities to be synchronized to L2 Rollup in real-time through standardized interfaces without manual intervention; for example, in the supply chain, distributor inventory data is automatically synchronized to Rollup every 10 minutes, allowing manufacturers and logistics providers to view it in real-time. A fast-moving consumer goods company used this module to reduce inventory backlog from 35% to 15%;

◦ Built-in 'fine-grained permission control', allowing multiple entities to customize the range of data sharing (for example, manufacturers only open 'capacity data' to logistics providers, not 'cost data'). A certain industrial equipment manufacturer used this function to protect core technical parameters while sharing operational data, increasing data sharing willingness by 80%.

• Collaborative value distribution module: Embedded rules, transparent and traceable

To address the ambiguity in value distribution, provide 'smart contract-based distribution rules', writing the distribution logic on-chain:

◦ Supports multi-entity preset allocation ratios (e.g., supply chain cost savings distributed as '40% to manufacturers + 30% to logistics providers + 30% to distributors'), or dynamically based on contribution (e.g., calculating ratios based on data usage frequency, decision impact); a certain supply chain project used this module to distribute 1.2 million yuan in cost savings according to rules, with the logistics provider receiving 360,000 yuan in rewards, significantly boosting subsequent data support enthusiasm.

◦ The entire allocation process is recorded on-chain, allowing multiple entities to query the basis for revenue calculations in real-time (such as the number of data contributions, amount of cost savings), avoiding disputes; a certain agricultural collaboration project used this function to transparently allocate 5 million yuan in additional income as '30% to retailers, 70% to cooperatives', without triggering any controversy.

2. Metalayer: Making collaborative value 'traceable and efficient'

Caldera's Metalayer is not a traditional cross-chain bridge, but rather the 'value hub for industrial multi-entity collaboration', enhancing collaborative efficiency and transparency through two capabilities:

• Real-time collaborative hub: Data interoperability with second-level response

Achieve 'real-time synchronization + automatic trigger decision-making' for data among multiple entities, without manual intervention:

◦ Data synchronization delay reduced from the traditional 48 hours to 10 seconds. An industrial equipment manufacturer uses Metalayer to obtain customer equipment data in real-time, reducing the maintenance planning cycle from 48 hours to 2 hours, with equipment failure downtime decreasing by 60%;

◦ Supports 'data-triggered automated actions', such as in the scenic area Rollup, when travel agency booking data exceeds 80% of capacity, Metalayer automatically triggers a flow control notification. In a certain cultural tourism project, this function reduced visitor complaints related to overcrowding from 30% to 0.

• Collaborative value traceability: Auditable full-link records

Records the full-chain information of data contributions, decision-making processes, and revenue distribution among multiple entities, forming a 'collaborative traceability chain':

◦ Multiple entities can query 'which data a certain decision is based on, who provided the data, and how much benefit was generated', such as in the supply chain where cost savings can be traced back to the logistics provider's route optimization data. A certain project achieved a data contribution traceability accuracy rate of 100% through this function;

◦ Supports the access of third-party auditing institutions, with audit results stored on-chain. A certain agricultural collaboration project verified the compliance of distribution rules through auditing institutions, increasing the trust level among multiple entities by 90%.

III. Ecological Implementation: Real Data Support for Collaborative Value Release

Caldera's ecological outcomes center on 'collaborative value increment' as a core metric, with all data sourced from the project Q2 2025 (Industry Collaborative Value Report) and Dune Analytics:

• Collaborative Rollup coverage

Over 50 mainnets have been supported to launch Rollups, among which 'multi-entity collaborative Rollups' (with participants ≥ 3 and a collaborative value conversion rate exceeding 60%) total 52, covering supply chains (22), agriculture (15), industrial operations (10), and cultural tourism (5). The 22 supply chain Rollups improved average inventory turnover rates by 45% through data collaboration, saving over 230 million yuan; the 15 agricultural Rollups achieved an average yield increase of 30%, distributing over 180 million yuan in dividends among multiple entities.

• Core data of collaborative value

In Q2 2025, the new value generated by multi-entity collaboration in Caldera's ecosystem reached 2.56 billion yuan, with the collaborative value conversion rate rising from the industry average of 28% to 78%; data synchronization delay was reduced from 48 hours to 10 seconds, and collaborative decision-making response time reduced from 3 days to 2 hours; the number of traditional enterprises participating in collaboration reached 41, an increase of 58% from the first quarter, among which 32 achieved 'weekly normalized collaboration', forming a stable collaboration network.

• Ecological Incentives: Promoting Collaborative Cycles

55% of 20% of the total $ERA token supply (200 million tokens) will be specifically used for 'collaborative value incentives':

◦ Multiple entities create new value through collaboration, rewarded with ERA according to value scale (25,000 ERA for every 1 million additional value);

◦ Developers creating collaborative tools (such as industry-specific collaborative rule templates, data contribution calculation plugins) can earn up to $500,000 in $ERA rewards;

◦ Third-party institutions (such as auditing institutions, collaborative platforms) can participate in collaborative supervision or docking, earning $ERA rewards based on service volume (1,200 $ERA for every 100 collaborative services).

As of July 2025, 15 industrial collaboration platforms and 8 auditing institutions have joined the ecosystem, forming a complete collaborative ecosystem of 'multiple entities - tools - supervision'.

IV. Token Economy: The Value Carrier Supporting the Collaborative Ecosystem

$ERA, as the 'industrial collaboration certificate' of the Caldera ecosystem, is functionally designed to be deeply tied to the entire process of 'data collaboration - value distribution - trust building', with all economic models sourced from the project (Token White Paper):

• Three core functions

1. Collaboration Fuel: The only payment token for Metalayer data synchronization and automated action triggers, solving the currency settlement chaos problem among multiple entities and systems. A certain supply chain company reduced costs by 65% using $ERA to pay for collaborative expenses.

2. Collaborative verification pledge: $ERA holders become 'collaborative verification nodes' after pledging, responsible for verifying the accuracy of data contribution calculations and the execution of value distribution rules, earning an annualized return of 9%-17% based on 'verification volume × accuracy rate' (with multiple participants in collaborative scenarios, returns are slightly higher than in single scenarios). Violating nodes (such as tampering with contribution data) lose 50% of their pledge. Currently, over 250 nodes are connected, with a verification accuracy rate of 99.98%;

3. Collaborative Rule Governance: Participating in 'collaborative standard optimization' (such as adjusting data contribution calculation parameters and adding industry collaboration rules) and 'collaborative fund distribution', locking $ERA for more than 6 months and promoting collaborative value growth entities, enjoying double voting rights to ensure governance aligns with the actual needs of multiple entities.

• Distribution and unlocking

Total supply of 1 billion tokens, focusing on stabilizing the collaborative ecosystem:

◦ Community and users 37% (including 12% collaborative incentives, 25% retroactive airdrops);

◦ Investors 32.075% (2023 Series A $15 million, led by Founders Fund, locked for 1 year and released over 24 months);

◦ Core team 14.75% (linear unlocking over 2-4 years);

◦ R&D and collaborative reserves 16.175% (for collaborative module iteration and risk reserves).

• Market and industry recognition

As of July 2025, ERA is listed on top exchanges such as Binance and Coinbase, with a 24-hour trading volume of $58 million to $72 million and a circulating market value of $330 million (ranked 255th on CoinGecko); 18 industrial entities participating in collaboration incorporated ERA into their collaborative revenue distribution system, with the token usage rate in collaborative scenarios increasing by 60% compared to the first quarter, becoming a 'value medium' connecting multi-entity collaboration.

V. Future: From 'Single Industry Collaboration' to 'Cross-Industry Collaboration Network'

Caldera's core competitiveness lies in capturing the demand that 'the essence of industrial data value is collaboration', but it also faces two major challenges:

• Opportunities: Expanding high-complexity collaborative scenarios

Plans to extend into industrial manufacturing and urban governance fields: In the industrial sector, develop 'industry chain collaboration modules' to achieve full-chain data collaboration among 'raw material suppliers - manufacturers - component manufacturers - customers', optimizing production planning and inventory management; In the urban governance sector, launch 'government-enterprise collaboration tools' to connect government traffic and environmental data with enterprise operational data, achieving multi-objective collaboration of 'traffic diversion - enterprise staggered production - environmental compliance'.

• Challenges: Balancing cross-industry collaboration and privacy

On one hand, there are significant rule differences in cross-industry collaboration (e.g., the value distribution logic differs between supply chains and agriculture), necessitating collaboration with industry associations to establish 'cross-industry collaboration guidelines' to avoid standard confusion; on the other hand, data collaboration among multiple entities needs to balance 'sharing needs' and 'privacy protection', requiring continuous iteration of 'federated learning + on-chain evidence' technology to ensure that sensitive data (e.g., enterprise costs, customer privacy) is 'usable but invisible' during collaboration.

Conclusion

Caldera's value lies in redefining the role of L2 infrastructure in industrial collaboration—it is no longer just a 'single entity's data proof tool', but the 'core hub for multi-entity collaboration to create value'. By embedding collaborative rules into the Rollup Engine and leveraging Metalayer for efficient value distribution, Caldera truly addresses the collaborative pain points of multi-entity industry, transforming data from an 'isolated asset' into a 'catalyst for collaborative value'.

In the future, as the demand for 'collaborative efficiency' continues to grow with industrial digitalization, if Caldera can deepen cross-industry collaborative capabilities and privacy protection, it is expected to become the 'core infrastructure for cross-industry collaboration networks' in the Ethereum L2 ecosystem, providing 'collaboration-centered' solutions to empower the real economy with Web3 technology.