I. The Transparency Illusion Blockchain began as a rebellion. Radical transparency was the weapon. Open ledgers were the proof. Visibility was the price of freedom. But rebellions evolve. Today, billions move on-chain daily. Real assets are tokenized. AI agents transact autonomously. DeFi is no longer experimental, it is infrastructural. And yet every transaction, balance, and strategy is broadcast to the world. This is not freedom. It is exposure masquerading as neutrality. No financial system in history has operated with public balances by default. No serious capital can scale while revealing every move. No individual should be forced to disclose economic behavior to participate. Consensus alone does not guarantee fairness. Execution is where asymmetry emerges. Public execution does not remove power. It reallocates it to those with monitoring, latency, and extraction algorithms. This is how MEV becomes structural. And in a world of autonomous agents, automation without confidentiality becomes exploitable automation. Transparency unlocked Web3. Confidential execution will make it viable at scale. II. Beyond Scaling: The New Infrastructure Layer Ethereum is scaling. Gas capacity is increasing. Execution efficiency is improving. Fees are structurally lower. The old assumption that scaling alone defines progress is fading. If block space becomes abundant, block space is no longer the edge. Throughput will not define the next cycle. Capability will. Privacy. Specialized execution. Low-latency confidential workflows. Programmable compliance. Protected financial and business logic. Scaling was phase one. Protected execution is phase two. As L1s grow stronger and L2s evolve, differentiation shifts from “more TPS” to “new primitives.” Confidential execution is that primitive. iExec is not competing for block space. We are extending what block space can do. We are not another L2. We are not another chain. We are the confidential execution infrastructure. Any ecosystem that needs: Confidential balances Private financial and business logic Encrypted RWA workflows Compliance-aware selective disclosure Verifiable off-chain computation We provide it. We extend L1s. We empower L2s. We remain chain and narrative agnostic. Capital moves across chains. Liquidity fragments across ecosystems. Applications interoperate or they disappear. Composability is survival. Private execution without composability is irrelevant. III. Confidentiality Is a Cyber Right Confidentiality is not secrecy. It is not opacity. It is not evasion. It is control. The right to choose: Who sees your data. When they see it. Under what conditions it is disclosed. Self-custody gave users sovereignty over assets. Confidentiality gives them sovereignty over information. A right that exists behind toggles is not a right. If participation requires structural exposure, sovereignty is conditional. A financial system cannot claim neutrality while embedding permanent surveillance into its architecture. Confidentiality must live in infrastructure. Privacy by default. Disclosure only by choice. Composable. Interoperable. Verifiable. Auditable. Not as an add-on, but as a standard. Users should not experience cryptography. They should experience control. Privacy should feel native. Because it is.
IV. We Built Before It Was Popular Since 2017, iExec has built privacy-preserving infrastructure. Not because it was trending. Not because it was profitable. Not because it was safe. Because privacy is foundational infrastructure. Confidential computing. Trusted Execution Environments “TEEs”. Secure enclaves. Protected data flows. We focused on execution. Because execution is where power concentrates. If computation cannot be trusted, decentralization is cosmetic. We built while the narrative focused elsewhere. Now the market has caught up. Projects see the friction. Institutions see the risk. Capital sees the limitation.
When confidentiality becomes infrastructure, not marketing, pioneers do not pivot, they scale. The market is catching up to a direction we never left. V. The Hard Truth About Privacy Technology Much of today’s privacy infrastructure is impressive. It is also often: Slow. Expensive. Difficult to integrate. Isolated from composable systems. Research-heavy and production-light. Confidential systems that cannot survive real markets will not define the next standard. The objective is not theoretical purity. It is production-grade confidentiality. Operational excellence is non-negotiable. Security is baseline. Reliability is mandatory. Performance is engineered. DeFi does not need theoretical privacy. It needs usable confidentiality. Performance matters. Latency matters. Composability matters. Cost matters. Selective disclosure matters. The future will not wait for perfect math. VI. Why Pragmatism Wins Privacy is not ideology. It is engineering. Zero-knowledge “ZK” systems. Multiparty computation “MPC”. Trusted Execution Environment “TEE”. Each advances the frontier. Each solves different constraints. Each carries trade-offs in latency, cost, complexity, and usability. No single primitive defines the future of confidential finance. The systems that endure will combine strengths intelligently: Cryptography for mathematical guarantees. Distributed mechanisms for trust minimization. Hardware-backed environments for high-performance confidential execution. Today, real markets demand speed. Predictable costs. Composable infrastructure. Hardware-backed confidential execution delivers that now. While some privacy approaches remain computationally heavy or impractical for high-frequency financial workflows, secure enclaves already power production systems at scale. We lead with what works. We integrate what strengthens. We evolve as the ecosystem matures. The objective is not elegance. It is infrastructure that performs under pressure. Confidential DeFi will not be won by abstraction. It will be won by execution. VII. From Vision to Primitive Confidentiality must become programmable. It must integrate into: Transfers. Swaps. Lending. Treasury management. Tokenized assets. Confidentiality should not require a new chain. It should not fragment liquidity. It should not force developers to rewrite their stack. Integration must be simple. APIs clean. SDKs intuitive. Minimal friction. Privacy should enhance blockchain capabilities, not disrupt them. Multichain by design. Composability by default. Performance-competitive with public transactions. Decentralization without private execution is incomplete. Private execution without composability is irrelevant. VIII. The Standard We build systems that reduce unnecessary trust. We fragment authority by design. We protect sovereignty. We scale without surveillance. We will not sacrifice usability for ideology. We will not sacrifice performance for purity. We will not sacrifice decentralization for convenience. Confidentiality is not a feature. It is infrastructure. It is a cyber right. The next generation of DeFi, RWA, and blockchain ecosystems will be confidential by design. The next financial system will not debate confidentiality. It will assume it. The only question is which infrastructure enables it. We are not adapting to that future. We are building it. Build it confidentially. Build it with us.
The market is shifting. We are at a defining moment where institutional capital and traditional finance (TradFi) are entering the tokenization space. For these players, the absolute transparency of public blockchains presents a fundamental hurdle.
We have now reached a stage where performance, network scalability, and even transaction costs are no longer the primary barriers to adoption. Blockchains such as Arbitrum, Solana, Avalanche, and Base have demonstrated their ability to process high volumes at low cost. The real challenge now lies in the availability of confidentiality mechanisms that are usable, auditable, and compatible with existing standards, whether for widely adopted blockchains or already circulating assets such as existing ERC-20 tokens. Leading asset managers such as BlackRock and Franklin Templeton are already building tokenized funds, signaling a clear shift from experimentation to production-grade adoption. This momentum points to a much larger opportunity: up to $30T in financial assets could ultimately move on-chain, yet adoption remains constrained by confidentiality and compliance limitations. 👉Institutions cannot broadcast their intent, sensitive trade data, or client information to the world without violating fiduciary duties or risking front-running. They require a critical layer that has been missing from the DeFi equation: Confidentiality.
Institutions require privacy that is Composable, Interoperable, and Auditable, not mere anonymity. iExec is aligning its roadmap with this market evolution toward Institutional DeFi and Asset Tokenization. Confidentiality and Privacy that serves as an enabler for institutions to tokenize their assets at scale. iExec is stepping forward as the privacy tools provider of choice. 2025 Highlights: Building the Base for Scale 2025 was about proving that privacy can be easily accessible. We successfully laid the groundwork for secure tools that are simple to integrate. Live on Arbitrum: We achieved significant adoption momentum by deploying on top of the Arbitrum ecosystem, with builders like Otomato and ApeBond already utilizing the stack. This unlocked secure, scalable, and user-friendly privacy features for one of crypto's most active ecosystems.
DevX Tooling Upgrades: We brought the power of confidential computing directly to the terminal. Our iApp Generator tool bootstraps the entire development process by generating essential boilerplate code, allowing builders to scaffold, test, and deploy iApps inside secure enclaves in minutes. By reducing setup friction, it empowers builders to move from "Hello World" to production-ready deployment with full control and minimal complexity.iExec Confidential Messaging: Web3Mail and Web3Telegram are privacy-preserving communication SDKs that allow dApps to message wallet holders using only an Ethereum address, without ever accessing users’ real email addresses or Telegram chat IDs in clear; all contact data is processed inside TEEs, stored as Protected Data on iExec, and remains fully under user control through explicit, revocable permissions.Bulk Processing Power: We matured the developer experience to handle more data. with less effort. Through our bulk processing upgrades, builders can process 1 to 100 protected datasets in a single secure task. This allows for scaling data-heavy DeFi workflows without added complexity. Ecosystem Expansion & Partnerships In 2025, iExec significantly expanded its ecosystem through strategic partnerships that reinforce our positioning at the intersection of privacy, confidential computing, and AI. These collaborations accelerate real adoption and extend the capabilities built on iExec’s TEE-native stack. Aethir: Partnering with Aethir’s decentralized GPU and CPU network to support large-scale confidential computing workloads, enabling privacy-preserving AI and TEE deployments with enterprise-grade performance.AI Unbundled Alliance: Joined the AI Unbundled Alliance alongside leading ecosystem players such as Chainlink, IoTeX, Plume, and others. This positions iExec as a core privacy layer within the emerging modular AI stack and reinforces our role as trusted confidential infrastructure.AR.IO: Enabled encrypted data storage on Arweave, seamlessly integrated into iExec’s Confidential Messaging tools. This unlocks permanent, censorship-resistant, and privacy-preserving communication use cases for Web3.ChainGPT: Collaborating on confidential AI model training to support ChainGPT’s AI and Agents framework, bringing privacy guarantees to next-generation AI workflows and autonomous agents.DeXe: Engaged in early-stage exploration around the use of confidential computing to improve DAO governance and coordination mechanisms.
Alongside these initiatives, iExec expanded its ecosystem by reinforced builders adoption and traction through targeted ecosystem support. The iExec Ecosystem Fund, backed by 1,000,000 $RLC, was dedicated to empowering projects integrating iExec’s privacy stack across AI, DeFi, RWA, and adjacent use cases. This was complemented by a $100K co-grant program with AR.IO, focused on Confidential Messaging integrations. Together, these partnerships reflect a clear market signal: confidential computing is moving from experimentation to production, and iExec is becoming a foundational layer for privacy-first Web3 and AI applications. 2026 Direction: Two Tracks for Confidential DeFi & RWA DeFi was born with the introduction of smart contracts on Ethereum. For the first time, financial logic could be executed programmatically on-chain without intermediaries. What started as simple primitives “on-chain lending, automated trading, and stablecoins” has since evolved into a global financial system processing billions in value and supporting increasingly complex market structures. The movement was later branded as Decentralized Finance for short “DeFi”, gaining traction and velocity within the crypto industry. Today, DeFi processes billions in daily transaction activity, with over $100B in total value locked according to DeFiLlama, and sustained volumes across DEXs, perps, and stablecoins. This growth proves that programmable, composable finance works at scale, across cycles, and without centralized control. Yet, the same fundamentals that enabled early DeFi to scale, now limits its next phase. In traditional finance, balances, positions, and execution strategies are private by default. Money is the most sensitive asset in any financial system, and exposing it publicly is incompatible with institutional usage, payments, and real-world capital flows. 👉If DeFi is to bridge Web2 and Web3 finance, confidentiality must become a native feature of on-chain value. This is why, in 2026, iExec is positioning itself as the privacy layer for the next DeFi revolution by enabling verifiable and confidential on-chain execution through easy-to-use and modular tools. This will be backed by a strong chain of trust, better user experience and a usage-driven $RLC value economy.
The next generation of DeFi requires institutional-grade confidentiality. Our Confidential DeFi vision was validated through direct builder engagement. At ETHRome, iExec supported a Confidential DeFi hackathon, resulting in 14 projects experimenting with private execution and protected financial workflows using the iExec privacy stack. In parallel, we conducted extensive market research and interviews with DeFi leaders, builders, and partners. This approach was further expanded through Nocturne, a project developed by iExec at ETHGlobal Buenos Aires, focused on confidential RWA tokenization with deployments across Ethereum, Arbitrum, and Base. This momentum continues with Hack4Privacy, a builder sprint run in collaboration with 50Partners, focused on Confidential DeFi and RWA use cases. Over two dynamic weeks, from January 27 to February 7, builders will explore new ideas, experiment with confidential computing, and design impactful privacy-preserving DeFi & RWA solutions. These discussions consistently highlighted practical constraints around confidentiality, auditability, and integration complexity. The insights gathered from both hands-on experimentation and field research, directly shaped the scope, priorities and our roadmap for 2026. Our 2026 strategy pursues two focused tracks:
Confidential DeFi Positioning In the first half of 2026, we will introduce a specialized Confidential DeFi product designed for any DeFi project that operates on-chain financial workflows where public balances or transfers create regulatory or competitive risk.
This product will fulfill the rigorous demands of regulated finance and bridges the gap between regulatory mandates and the permissionless nature of DeFi. Institutional-Grade RWA Integration and Usage-Driven Economic Flows Tokenizing RWAs involves sensitive off-chain data, such as property deeds and company financials, that must remain confidential. We are working with established players and institutions to address these needs in practice.
By leveraging the iExec stack, we securely process this sensitive data without ever exposing it, providing a vital bridge for high-value real-world assets on-chain. Ultimately, our suite of 2026 tools is built to be: Composable: Designed to function as modular "money legos" that can be easily combined with existing DeFi protocols.Interoperable: Engineered to work across different chains and legacy systems, ensuring privacy doesn't create silos.Auditable: Providing the necessary "glass-box" transparency for regulators to verify compliance without exposing data to the public.
To scale our capabilities for the most demanding DeFi use cases, we are focusing on three core technical pillars: Production-Grade Confidential Execution with TDX: The completion of this major upgrade will significantly expand the scope and variety of privacy preserving applications we can support. By integrating Intel TDX, we provide a larger enclave boundary and modern Trusted Execution Environment and attestation mechanisms, strengthening the verifiable trust in every computation. Chain of Trust Enhancements: We will improve how trust is established on the platform through stronger attestation protocols and enhanced public measurement capabilities. Coupled with our commitment to an open-source strategy, this will ensure a higher, verifiable standard of security and trust. In parallel, we will continue participating in industry-wide initiatives that enable third-party verification of hardware integrity, strengthening confidence in confidential execution environments without exposing sensitive data. User Experience & adoption acceleration: UX is the main barrier to privacy adoption today. In 2026 we will prioritize simplifying confidentiality flows, reducing signature friction, and improving predictability of privacy states for end users. We will emphasize trust cues, auditability, and plain language confidentiality features to drive mainstream usage. Performance, latency, and cost optimization: We will specifically target performance and cost improvements across the confidential compute stack, since latency and economic overhead are decisive adoption factors for DeFi and payments. This includes protocol level work to reduce execution delays and improve scalability for high frequency confidential transactions.
2026 is the year private DeFi scales with $RLC 2026 will mark the moment the industry shifts from experimental transparency to the auditable confidentiality required for institutional-scale finance. As confidential DeFi and RWA use cases move into production, $RLC functions as the access layer of the iExec protocol. As more confidential applications move into production, $RLC will circulate even more through concrete protocol usage: builders deploying confidential applications, protocols running protected financial logic, and institutions executing sensitive on-chain workloads. This usage-driven dynamic anchors the role of $RLC in real demand, supporting the next phase of adoption. At the same time, liquidity and availability across both centralized and decentralized markets remain essential to back this activity at scale, ensuring $RLC can efficiently serve as the access layer for confidential DeFi and RWA use cases. With the foundational success shipped in 2025, a clear two-track strategy for Confidential DeFi and RWA, and a significantly strengthened iExec stack, we are ready to supply the missing piece for the next wave of tokenized assets. iExec is not just a privacy provider; we are the privacy foundation for real-world adoption.➡️ Delivering confidential, composable privacy and verifiable governance. This is your invitation to build a more private, confidential future with us. “Add privacy where your money is.”
Big capital won’t touch a system where every move is public record. DeFi needs a middle ground. We need privacy preserving tech (like TEEs) to keep strategies hidden while keeping the results verifiable. No privacy, no mass adoption. It's really that simple
iExec RLC
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Current DeFi is a total fishbowl. The moment you make a move, everyone sees it.
While transparency sounds great, it actually leaks your strategy and crucial info to the world, a public invite for attackers and bad actors wanting to benefit even before your transaction lands.
Trying to trade at scale? Good luck. On chain transparency means you’re essentially shouting your next moves through a megaphone. This leads to massive slippage. In the current setup, the bigger your win, the more predator tax you pay to bots.
iExec RLC
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Current DeFi is a total fishbowl. The moment you make a move, everyone sees it.
While transparency sounds great, it actually leaks your strategy and crucial info to the world, a public invite for attackers and bad actors wanting to benefit even before your transaction lands.
Current DeFi is a total fishbowl. The moment you make a move, everyone sees it.
While transparency sounds great, it actually leaks your strategy and crucial info to the world, a public invite for attackers and bad actors wanting to benefit even before your transaction lands.
The Missing Layer in AI, DeFi, and RWAs: Privacy at Execution
iExec RLC
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The Missing Layer in AI, DeFi, and RWAs: Privacy at Execution
Artificial intelligence is transforming financial markets by enabling advanced analytics, risk forecasting, and decision automation. At the same time, real-world assets (RWAs) are being tokenized and brought into decentralized finance (DeFi) ecosystems as digital representations of tangible value such as real estate, bonds, or commodities. Tokenizing real-world assets makes ownership fractional and accessible, and permits these assets to interact directly with smart contracts and DeFi protocols. This unlocks new liquidity and bridges traditional financial value into blockchain systems.
Privacy is not optional infrastructure Imagine a world where every country is forced to operate in the same public language, publish every internal decision in real time, and negotiate trade deals entirely in the open. No private negotiations. No sealed bids. No confidential strategy. That world would not be more fair; it would be fragile. Today’s DeFi and RWA systems face this exact paradox. While transparency enables trust, absolute transparency breaks institutions. In the TradFi sector, privacy is a functional prerequisite for market stability. According to data from Nasdaq and Bloomberg, off-exchange trading, which includes dark pools and private internalization, surged to record highs exceeding 51% of all U.S. equity volume by early 2025.
Institutional players rely on these private buffers to prevent the front-running and slippage that occur in public view. Without these protected environments, which currently handle over half of the market’s liquidity, the impact of a single institutional move would trigger systemic volatility. Privacy is not the opposite of openness; it is the protective infrastructure that allows TradFi level liquidity and open systems to scale.
Why privacy matters in DeFi and RWA DeFi protocols have brought permissionless financial services to users, but they often operate on transparent public blockchains. Transparency allows auditability, but it can also reveal sensitive details such as trading strategies, collateral compositions, or asset-specific financial inputs. Tokenized RWAs introduce additional off-chain data, including property deeds, audited financial statements, pricing models, and compliance documentation. Handling this data without strong privacy controls risks disclosure of competitive information or sensitive legal data. Without privacy, institutions cannot operate safely, and users cannot trust systems handling confidential financial and identity information. Privacy must be a core architectural principle, not an afterthought.
Privacy requires execution, and execution requires RLC To enable privacy-preserving AI, DeFi, and RWA workflows, iExec provides a confidential execution layer powered by the $RLC token. Every interaction in the iExec Privacy Toolkit ecosystem requires RLC: iApp executions consume RLC for computationProtected Data access requires RLCConfidential computations use RLC for secure executionStaking mechanisms lock RLC during tasks, reducing circulating supply Privacy is enforced at execution time, where sensitive logic and data are actually processed, not just stored.
iExec’s toolkit for privacy-first infrastructure iExec is designed to solve this problem through confidential computing and secure data management. The platform uses trusted execution environments (TEEs), where code runs on encrypted data in isolation. This ensures data remains confidential even during computation, protecting it from the host system, cloud provider, or other third parties. DataProtector
DataProtector is iExec’s solution for secure data management. It allows developers and data owners to encrypt information, register ownership onchain, and set precise access controls. Protected data remains confidential at all stages. DataProtector Core encrypts data and grants access to specified applications under controlled terms. DataProtector Sharing enables safe distribution or monetization of data while maintaining governance and usage rules. This is critical for DeFi and RWA workflows. Financial inputs, pricing models, or compliance documents can be safely shared with smart contracts, oracles, or AI models without exposing raw values. This enables asset composability while preserving confidentiality. iApp Generator The iApp Generator allows developers to build and deploy iApps, confidential applications that run inside TEEs to process protected data. iApps enable AI workflows, DeFi logic, valuation algorithms, and compliance checks to execute securely on private data. This allows use cases such as credit scoring, underwriting, risk modeling, or price prediction for RWA tokens without leaking sensitive information.
Confidential DeFi infrastructure and institutional readiness iExec’s 2026 strategy focuses on auditable confidentiality required for institutional-scale finance. The RLC token serves as the access layer for the entire infrastructure. By integrating privacy directly into the execution layer, iExec enables DeFi protocols to support confidential financial logic such as private auctions, sealed-bid mechanisms, institutional asset underwriting, regulated collateral pools, and compliant capital deployment without exposing internal strategies or sensitive data.
AI privacy and monetization iExec also supports confidential AI workflows. AI models processing sensitive data such as user behavior, institutional portfolios, or sensor feeds can operate inside TEEs. This protects both the data and the model itself, enabling secure monetization of AI and data assets. Developers can offer intelligence as a service without giving up ownership or exposing proprietary systems.
A foundation for the future Integrating AI, DeFi, and tokenized RWAs represents one of the most compelling frontiers in decentralized systems. Unlocking this potential requires privacy to be built into every layer of the stack, from data ownership and access control to computation and financial logic execution. iExec provides the tooling and infrastructure to make this possible, forming the privacy foundation needed for sophisticated, institutional-grade decentralized applications that connect traditional finance with Web3.
The Missing Layer in AI, DeFi, and RWAs: Privacy at Execution
Artificial intelligence is transforming financial markets by enabling advanced analytics, risk forecasting, and decision automation. At the same time, real-world assets (RWAs) are being tokenized and brought into decentralized finance (DeFi) ecosystems as digital representations of tangible value such as real estate, bonds, or commodities. Tokenizing real-world assets makes ownership fractional and accessible, and permits these assets to interact directly with smart contracts and DeFi protocols. This unlocks new liquidity and bridges traditional financial value into blockchain systems.
Privacy is not optional infrastructure Imagine a world where every country is forced to operate in the same public language, publish every internal decision in real time, and negotiate trade deals entirely in the open. No private negotiations. No sealed bids. No confidential strategy. That world would not be more fair; it would be fragile. Today’s DeFi and RWA systems face this exact paradox. While transparency enables trust, absolute transparency breaks institutions. In the TradFi sector, privacy is a functional prerequisite for market stability. According to data from Nasdaq and Bloomberg, off-exchange trading, which includes dark pools and private internalization, surged to record highs exceeding 51% of all U.S. equity volume by early 2025.
Institutional players rely on these private buffers to prevent the front-running and slippage that occur in public view. Without these protected environments, which currently handle over half of the market’s liquidity, the impact of a single institutional move would trigger systemic volatility. Privacy is not the opposite of openness; it is the protective infrastructure that allows TradFi level liquidity and open systems to scale.
Why privacy matters in DeFi and RWA DeFi protocols have brought permissionless financial services to users, but they often operate on transparent public blockchains. Transparency allows auditability, but it can also reveal sensitive details such as trading strategies, collateral compositions, or asset-specific financial inputs. Tokenized RWAs introduce additional off-chain data, including property deeds, audited financial statements, pricing models, and compliance documentation. Handling this data without strong privacy controls risks disclosure of competitive information or sensitive legal data. Without privacy, institutions cannot operate safely, and users cannot trust systems handling confidential financial and identity information. Privacy must be a core architectural principle, not an afterthought.
Privacy requires execution, and execution requires RLC To enable privacy-preserving AI, DeFi, and RWA workflows, iExec provides a confidential execution layer powered by the $RLC token. Every interaction in the iExec Privacy Toolkit ecosystem requires RLC: iApp executions consume RLC for computationProtected Data access requires RLCConfidential computations use RLC for secure executionStaking mechanisms lock RLC during tasks, reducing circulating supply Privacy is enforced at execution time, where sensitive logic and data are actually processed, not just stored.
iExec’s toolkit for privacy-first infrastructure iExec is designed to solve this problem through confidential computing and secure data management. The platform uses trusted execution environments (TEEs), where code runs on encrypted data in isolation. This ensures data remains confidential even during computation, protecting it from the host system, cloud provider, or other third parties. DataProtector
DataProtector is iExec’s solution for secure data management. It allows developers and data owners to encrypt information, register ownership onchain, and set precise access controls. Protected data remains confidential at all stages. DataProtector Core encrypts data and grants access to specified applications under controlled terms. DataProtector Sharing enables safe distribution or monetization of data while maintaining governance and usage rules. This is critical for DeFi and RWA workflows. Financial inputs, pricing models, or compliance documents can be safely shared with smart contracts, oracles, or AI models without exposing raw values. This enables asset composability while preserving confidentiality. iApp Generator The iApp Generator allows developers to build and deploy iApps, confidential applications that run inside TEEs to process protected data. iApps enable AI workflows, DeFi logic, valuation algorithms, and compliance checks to execute securely on private data. This allows use cases such as credit scoring, underwriting, risk modeling, or price prediction for RWA tokens without leaking sensitive information.
Confidential DeFi infrastructure and institutional readiness iExec’s 2026 strategy focuses on auditable confidentiality required for institutional-scale finance. The RLC token serves as the access layer for the entire infrastructure. By integrating privacy directly into the execution layer, iExec enables DeFi protocols to support confidential financial logic such as private auctions, sealed-bid mechanisms, institutional asset underwriting, regulated collateral pools, and compliant capital deployment without exposing internal strategies or sensitive data.
AI privacy and monetization iExec also supports confidential AI workflows. AI models processing sensitive data such as user behavior, institutional portfolios, or sensor feeds can operate inside TEEs. This protects both the data and the model itself, enabling secure monetization of AI and data assets. Developers can offer intelligence as a service without giving up ownership or exposing proprietary systems.
A foundation for the future Integrating AI, DeFi, and tokenized RWAs represents one of the most compelling frontiers in decentralized systems. Unlocking this potential requires privacy to be built into every layer of the stack, from data ownership and access control to computation and financial logic execution. iExec provides the tooling and infrastructure to make this possible, forming the privacy foundation needed for sophisticated, institutional-grade decentralized applications that connect traditional finance with Web3.