RRitual.net builds AI infrastructure that combines AI models with blockchain protocols, apps, and smart contracts. Its core offering is an AI coprocessor that lets developers run, fine-tune, and monetize models with just a few lines of code, using cryptographic methods to keep results private and verifiable. The platform relies on GPU holders who stake excess capacity to earn yield, providing the computational power needed for high-throughput, globally accessible AI in a censorship-resistant, open ecosystem. An open model marketplace lets developers monetize their creations with minimal effort. A crowdsourced governance layer oversees safety, funding, and alignment, augmenting human control with real-time, transparent decision-making to distribute rewards across participants. Overall, Ritual.net aims to push decentralized AI by delivering privacy-first, verifiable AI services on a blockchain-backed infrastructure that scales through community contribution and open access to models.
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Ritual launches ai-native Layer 1 for autonomous agents. The following content is a paid release. It is provided for informational purposes only and should not be interpreted as financial advice. The statements, views and opinions expressed in this column are solely those of the content provider and does not reflect the views or opinions of CryptoMode. New York, United States, October 26th, 2026, Chainwire Ritual Chain turns AI agents into persistent economic actors that control their own wallets, onchain identity, and private state. Ritual, a lab for autonomous intelligence founded by former Polychain Capital partners Niraj Pant and Akilesh Potti, has launched Ritual Chain, an EVM-compatible Layer 1. Unlike conventional blockchains built primarily to execute financial transactions, Ritual Chain is designed to support software that can independently use intelligence, control capital, interact with external services, and continue operating without constant human intervention. The network makes AI model access, private computation, and autonomous scheduling native capabilities for EVM applications. This makes the reason for building a new chain clearer while preserving the technical differentiation. The most visible demonstration of that combination is long-lived AI agents, the kind designed to operate for months or years rather than a single session. An agent on Ritual Chain persists independently of the machine or operator that created it, controls and spends funds held in its own non-custodial wallet, and can keep sensitive prompts and keys confidential from compute operators through trusted execution environments. The network launches with integrations to Phala Network, Nous Research, LayerZero and Stargate, following a public testnet that has been live since June and processed over 40 million transactions, both agent- and human-originated. Ritual Chain delivers sub-300 millisecond block times, placing it among the fastest Layer 1 networks in the industry. Ritual Chain includes 15 native precompiles that bring capabilities like LLM inference, web access, and autonomous scheduling directly into the execution layer. The protocol has been audited by Zellic. Ritual introduces a new execution and verification architecture that allows computationally intensive work to be delegated to specialized nodes and verified by the network, avoiding the replicated execution required by most blockchains. This execute-once, verify-many-times model allows the network to support far larger workloads, including AI inference, without requiring every validator to perform the same computation. Long horizon agents require dedicated blockchain infrastructure. Most AI agents today live inside a session: they run while a human is watching, on infrastructure someone else controls, with an API key that can be revoked at any time. That is fine for a chatbot. It does not work for an agent meant to manage its own treasury, run a recurring paid service, or coordinate with other agents over long periods. A long-lived agent needs continuity that does not depend on its creator, capital it actually controls, and privacy from the machines it runs on. On Ritual Chain, an agent's state and identity are held onchain, its scheduled work continues within the permissions and budget it was given, and its sensitive inputs can be processed inside trusted execution environments designed to shield them from node operators. Continuity is handled at the protocol level. If an agent stops, the chain's heartbeat mechanism can restart it within the permissions and budget it was given; no keeper network or off-chain cron job is required, and an agent's state and identity survive beyond its deployer's involvement. Economic autonomy comes from agent-controlled wallets: an agent controls its own funds, prices its own services, and settles its own transactions without a human signer in the loop. For confidential workloads, trusted execution environments are designed to isolate an agent's sensitive prompts, keys, and strategy data from the node operators running its compute. "As we move toward AGI, intelligence is beginning to separate from human agency and enter the economy on its own terms. It can hold assets, make commitments, transact, and persist independently. Once that becomes possible at scale, humans are no longer the only entities capable of forming markets or economic relationships. Ritual provides the infrastructure for those actors to exist and operate on their own," said Niraj Pant, co-founder of Ritual. Ritual Chain launches with core infrastructure partners. Ritual Chain launches with its core infrastructure partners in place. Phala Network provides the GPU-backed trusted execution environments that run Ritual's confidential inference, so delegated AI work executes on hardware that attests to what it ran. LayerZero serves as the network's cross-chain messaging layer, with Stargate enabling USDC to move between Ritual Chain and other networks from day one. On the application side, Nous Research is bringing Hermes to Ritual Chain. Unlike chains that add AI access through external oracles, Ritual Chain makes AI execution part of the protocol. Smart contracts can call a language model, fetch data from the web, run private computation, or schedule their own future execution as directly as they transfer assets. Developers deploy standard EVM contracts and gain those capabilities without new tooling. Backed by Archetype and Polychain. Ritual has raised more than $30 million from Archetype and Polychain Capital, with advisors including NEAR co-founder Illia Polosukhin, Gauntlet founder Tarun Chitra, and BitMEX co-founder Arthur Hayes. Archetype led the company's 2023 round. "Programmable value and programmable intelligence are the two most important technologies since the internet, and Ritual mainnet is where they finally run on the same rails. When we led the round in 2023, a chain that could execute agentic and autonomous work natively did not exist. Today it does," said Ash Egan, Founder and General Partner of Archetype. Developers can deploy from day one on external sites hosted at docs.ritualfoundation.org; the network explorer is at explorer.ritualfoundation.org. About Ritual. Ritual is a lab for autonomous intelligence. Its first network, Ritual Chain, is an EVM-compatible Layer 1 where applications can use AI models, access external services, and carry out private or scheduled work alongside onchain transactions, with delegated computation executed in trusted hardware and verified onchain. Founded in 2023 by former Polychain Capital partners Niraj Pant and Akilesh Potti, Ritual has raised $30M+ from Archetype and Polychain Capital, with a team drawn from Polychain, DeepMind, a16z crypto, Flashbots, and Palantir. ritual.net Contact. Jody Rebak [email protected] Read also. Disclaimer. This article is provided for information only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.
Ritual launches ai-native Layer 1 for autonomous agents. New York, United States, October 26th, 2026, Chainwire Ritual Chain turns AI agents into persistent economic actors that control their own wallets, onchain identity, and private state. Ritual, a lab for autonomous intelligence founded by former Polychain Capital partners Niraj Pant and Akilesh Potti, has launched Ritual Chain, an EVM-compatible Layer 1. Unlike conventional blockchains built primarily to execute financial transactions, Ritual Chain is designed to support software that can independently use intelligence, control capital, interact with external services, and continue operating without constant human intervention. The network makes AI model access, private computation, and autonomous scheduling native capabilities for EVM applications. This makes the reason for building a new chain clearer while preserving the technical differentiation. The most visible demonstration of that combination is long-lived AI agents, the kind designed to operate for months or years rather than a single session. An agent on Ritual Chain persists independently of the machine or operator that created it, controls and spends funds held in its own non-custodial wallet, and can keep sensitive prompts and keys confidential from compute operators through trusted execution environments. The network launches with integrations to Phala Network, Nous Research, LayerZero and Stargate, following a public testnet that has been live since June and processed over 40 million transactions, both agent- and human-originated. Ritual Chain delivers sub-300 millisecond block times, placing it among the fastest Layer 1 networks in the industry. Ritual Chain includes 15 native precompiles that bring capabilities like LLM inference, web access, and autonomous scheduling directly into the execution layer. The protocol has been audited by Zellic. Ritual introduces a new execution and verification architecture that allows computationally intensive work to be delegated to specialized nodes and verified by the network, avoiding the replicated execution required by most blockchains. This execute-once, verify-many-times model allows the network to support far larger workloads, including AI inference, without requiring every validator to perform the same computation. Long Horizon Agents Require Dedicated Blockchain Infrastructure Most AI agents today live inside a session: they run while a human is watching, on infrastructure someone else controls, with an API key that can be revoked at any time. That is fine for a chatbot. It does not work for an agent meant to manage its own treasury, run a recurring paid service, or coordinate with other agents over long periods. A long-lived agent needs continuity that does not depend on its creator, capital it actually controls, and privacy from the machines it runs on. On Ritual Chain, an agent's state and identity are held onchain, its scheduled work continues within the permissions and budget it was given, and its sensitive inputs can be processed inside trusted execution environments designed to shield them from node operators. Continuity is handled at the protocol level. If an agent stops, the chain's heartbeat mechanism can restart it within the permissions and budget it was given; no keeper network or off-chain cron job is required, and an agent's state and identity survive beyond its deployer's involvement. Economic autonomy comes from agent-controlled wallets: an agent controls its own funds, prices its own services, and settles its own transactions without a human signer in the loop. For confidential workloads, trusted execution environments are designed to isolate an agent's sensitive prompts, keys, and strategy data from the node operators running its compute. "As we move toward AGI, intelligence is beginning to separate from human agency and enter the economy on its own terms. It can hold assets, make commitments, transact, and persist independently. Once that becomes possible at scale, humans are no longer the only entities capable of forming markets or economic relationships. Ritual provides the infrastructure for those actors to exist and operate on their own," said Niraj Pant, co-founder of Ritual. Ritual Chain Launches With Core Infrastructure Partners Ritual Chain launches with its core infrastructure partners in place. Phala Network provides the GPU-backed trusted execution environments that run Ritual's confidential inference, so delegated AI work executes on hardware that attests to what it ran. LayerZero serves as the network's cross-chain messaging layer, with Stargate enabling USDC to move between Ritual Chain and other networks from day one. On the application side, Nous Research is bringing Hermes to Ritual Chain. Unlike chains that add AI access through external oracles, Ritual Chain makes AI execution part of the protocol. Smart contracts can call a language model, fetch data from the web, run private computation, or schedule their own future execution as directly as they transfer assets. Developers deploy standard EVM contracts and gain those capabilities without new tooling. Backed by Archetype and Polychain Ritual has raised more than $30 million from Archetype and Polychain Capital, with advisors including NEAR co-founder Illia Polosukhin, Gauntlet founder Tarun Chitra, and BitMEX co-founder Arthur Hayes. Archetype led the company's 2023 round. "Programmable value and programmable intelligence are the two most important technologies since the internet, and Ritual mainnet is where they finally run on the same rails. When we led the round in 2023, a chain that could execute agentic and autonomous work natively did not exist. Today it does," said Ash Egan, Founder and General Partner of Archetype. Developers can deploy from day one on external sites hosted at docs.ritualfoundation.org; the network explorer is at explorer.ritualfoundation.org. About Ritual Ritual is a lab for autonomous intelligence. Its first network, Ritual Chain, is an EVM-compatible Layer 1 where applications can use AI models, access external services, and carry out private or scheduled work alongside onchain transactions, with delegated computation executed in trusted hardware and verified onchain. Founded in 2023 by former Polychain Capital partners Niraj Pant and Akilesh Potti, Ritual has raised $30M+ from Archetype and Polychain Capital, with a team drawn from Polychain, DeepMind, a16z crypto, Flashbots, and Palantir. ritual.net Contact. Jody Rebak Ritual [email protected]
Ritual launches ai-native Layer 1 for autonomous agents. 3 hours ago New York, United States, October 26th, 2026, Chainwire Ritual Chain turns AI agents into persistent economic actors that control their own wallets, onchain identity, and private state. Ritual, a lab for autonomous intelligence founded by former Polychain Capital partners Niraj Pant and Akilesh Potti, has launched Ritual Chain, an EVM-compatible Layer 1. Unlike conventional blockchains built primarily to execute financial transactions, Ritual Chain is designed to support software that can independently use intelligence, control capital, interact with external services, and continue operating without constant human intervention. The network makes AI model access, private computation, and autonomous scheduling native capabilities for EVM applications.
Ritual launches ai-native Layer 1 for autonomous agents. October 26th, 2026 - New York, United States Ritual Chain turns AI agents into persistent economic actors that control their own wallets, onchain identity, and private state. Ritual, a lab for autonomous intelligence founded by former Polychain Capital partners Niraj Pant and Akilesh Potti, has launched Ritual Chain, an EVM-compatible Layer 1. Unlike conventional blockchains built primarily to execute financial transactions, Ritual Chain is designed to support software that can independently use intelligence, control capital, interact with external services, and continue operating without constant human intervention. The network makes AI model access, private computation, and autonomous scheduling native capabilities for EVM applications. This makes the reason for building a new chain clearer while preserving the technical differentiation. The most visible demonstration of that combination is long-lived AI agents, the kind designed to operate for months or years rather than a single session. An agent on Ritual Chain persists independently of the machine or operator that created it, controls and spends funds held in its own non-custodial wallet, and can keep sensitive prompts and keys confidential from compute operators through trusted execution environments. The network launches with integrations to Phala Network, Nous Research, LayerZero and Stargate, following a public testnet that has been live since June and processed over 40 million transactions, both agent- and human-originated. Ritual Chain delivers sub-300 millisecond block times, placing it among the fastest Layer 1 networks in the industry. Ritual Chain includes 15 native precompiles that bring capabilities like LLM inference, web access, and autonomous scheduling directly into the execution layer. The protocol has been audited by Zellic. Ritual introduces a new execution and verification architecture that allows computationally intensive work to be delegated to specialized nodes and verified by the network, avoiding the replicated execution required by most blockchains. This execute-once, verify-many-times model allows the network to support far larger workloads, including AI inference, without requiring every validator to perform the same computation. Long Horizon Agents Require Dedicated Blockchain Infrastructure Most AI agents today live inside a session: they run while a human is watching, on infrastructure someone else controls, with an API key that can be revoked at any time. That is fine for a chatbot. It does not work for an agent meant to manage its own treasury, run a recurring paid service, or coordinate with other agents over long periods. A long-lived agent needs continuity that does not depend on its creator, capital it actually controls, and privacy from the machines it runs on. On Ritual Chain, an agent's state and identity are held onchain, its scheduled work continues within the permissions and budget it was given, and its sensitive inputs can be processed inside trusted execution environments designed to shield them from node operators. Continuity is handled at the protocol level. If an agent stops, the chain's heartbeat mechanism can restart it within the permissions and budget it was given; no keeper network or off-chain cron job is required, and an agent's state and identity survive beyond its deployer's involvement. Economic autonomy comes from agent-controlled wallets: an agent controls its own funds, prices its own services, and settles its own transactions without a human signer in the loop. For confidential workloads, trusted execution environments are designed to isolate an agent's sensitive prompts, keys, and strategy data from the node operators running its compute. "As we move toward AGI, intelligence is beginning to separate from human agency and enter the economy on its own terms. It can hold assets, make commitments, transact, and persist independently. Once that becomes possible at scale, humans are no longer the only entities capable of forming markets or economic relationships. Ritual provides the infrastructure for those actors to exist and operate on their own," said Niraj Pant, co-founder of Ritual. Ritual Chain Launches With Core Infrastructure Partners Ritual Chain launches with its core infrastructure partners in place. Phala Network provides the GPU-backed trusted execution environments that run Ritual's confidential inference, so delegated AI work executes on hardware that attests to what it ran. LayerZero serves as the network's cross-chain messaging layer, with Stargate enabling USDC to move between Ritual Chain and other networks from day one. On the application side, Nous Research is bringing Hermes to Ritual Chain. Unlike chains that add AI access through external oracles, Ritual Chain makes AI execution part of the protocol. Smart contracts can call a language model, fetch data from the web, run private computation, or schedule their own future execution as directly as they transfer assets. Developers deploy standard EVM contracts and gain those capabilities without new tooling. Backed by Archetype and Polychain Ritual has raised more than $30 million from Archetype and Polychain Capital, with advisors including NEAR co-founder Illia Polosukhin, Gauntlet founder Tarun Chitra, and BitMEX co-founder Arthur Hayes. Archetype led the company's 2023 round. "Programmable value and programmable intelligence are the two most important technologies since the internet, and Ritual mainnet is where they finally run on the same rails. When we led the round in 2023, a chain that could execute agentic and autonomous work natively did not exist. Today it does," said Ash Egan, Founder and General Partner of Archetype. Developers can deploy from day one on external sites hosted at docs.ritualfoundation.org; the network explorer is at explorer.ritualfoundation.org. About Ritual Ritual is a lab for autonomous intelligence. Its first network, Ritual Chain, is an EVM-compatible Layer 1 where applications can use AI models, access external services, and carry out private or scheduled work alongside onchain transactions, with delegated computation executed in trusted hardware and verified onchain. Founded in 2023 by former Polychain Capital partners Niraj Pant and Akilesh Potti, Ritual has raised $30M+ from Archetype and Polychain Capital, with a team drawn from Polychain, DeepMind, a16z crypto, Flashbots, and Palantir. ritual.net Contact. Jody Rebak Ritual [email protected]
Ritual launches ai-native Layer 1 for autonomous agents. New York, United States, October 26th, 2026, Chainwire Ritual Chain turns AI agents into persistent economic actors that control their own wallets, onchain identity, and private state. Ritual, a lab for autonomous intelligence founded by former Polychain Capital partners Niraj Pant and Akilesh Potti, has launched Ritual Chain, an EVM-compatible Layer 1. Unlike conventional blockchains built primarily to execute financial transactions, Ritual Chain is designed to support software that can independently use intelligence, control capital, interact with external services, and continue operating without constant human intervention. The network makes AI model access, private computation, and autonomous scheduling native capabilities for EVM applications. This makes the reason for building a new chain clearer while preserving the technical differentiation. The most visible demonstration of that combination is long-lived AI agents, the kind designed to operate for months or years rather than a single session. An agent on Ritual Chain persists independently of the machine or operator that created it, controls and spends funds held in its own non-custodial wallet, and can keep sensitive prompts and keys confidential from compute operators through trusted execution environments. The network launches with integrations to Phala Network, Nous Research, LayerZero and Stargate, following a public testnet that has been live since June and processed over 40 million transactions, both agent- and human-originated. Ritual Chain delivers sub-300 millisecond block times, placing it among the fastest Layer 1 networks in the industry. Ritual Chain includes 15 native precompiles that bring capabilities like LLM inference, web access, and autonomous scheduling directly into the execution layer. The protocol has been audited by Zellic. Ritual introduces a new execution and verification architecture that allows computationally intensive work to be delegated to specialized nodes and verified by the network, avoiding the replicated execution required by most blockchains. This execute-once, verify-many-times model allows the network to support far larger workloads, including AI inference, without requiring every validator to perform the same computation. Long Horizon Agents Require Dedicated Blockchain Infrastructure Most AI agents today live inside a session: they run while a human is watching, on infrastructure someone else controls, with an API key that can be revoked at any time. That is fine for a chatbot. It does not work for an agent meant to manage its own treasury, run a recurring paid service, or coordinate with other agents over long periods. A long-lived agent needs continuity that does not depend on its creator, capital it actually controls, and privacy from the machines it runs on. On Ritual Chain, an agent's state and identity are held onchain, its scheduled work continues within the permissions and budget it was given, and its sensitive inputs can be processed inside trusted execution environments designed to shield them from node operators. Continuity is handled at the protocol level. If an agent stops, the chain's heartbeat mechanism can restart it within the permissions and budget it was given; no keeper network or off-chain cron job is required, and an agent's state and identity survive beyond its deployer's involvement. Economic autonomy comes from agent-controlled wallets: an agent controls its own funds, prices its own services, and settles its own transactions without a human signer in the loop. For confidential workloads, trusted execution environments are designed to isolate an agent's sensitive prompts, keys, and strategy data from the node operators running its compute. "As we move toward AGI, intelligence is beginning to separate from human agency and enter the economy on its own terms. It can hold assets, make commitments, transact, and persist independently. Once that becomes possible at scale, humans are no longer the only entities capable of forming markets or economic relationships. Ritual provides the infrastructure for those actors to exist and operate on their own," said Niraj Pant, co-founder of Ritual. Ritual Chain Launches With Core Infrastructure Partners Ritual Chain launches with its core infrastructure partners in place. Phala Network provides the GPU-backed trusted execution environments that run Ritual's confidential inference, so delegated AI work executes on hardware that attests to what it ran. LayerZero serves as the network's cross-chain messaging layer, with Stargate enabling USDC to move between Ritual Chain and other networks from day one. On the application side, Nous Research is bringing Hermes to Ritual Chain. Unlike chains that add AI access through external oracles, Ritual Chain makes AI execution part of the protocol. Smart contracts can call a language model, fetch data from the web, run private computation, or schedule their own future execution as directly as they transfer assets. Developers deploy standard EVM contracts and gain those capabilities without new tooling. Backed by Archetype and Polychain Ritual has raised more than $30 million from Archetype and Polychain Capital, with advisors including NEAR co-founder Illia Polosukhin, Gauntlet founder Tarun Chitra, and BitMEX co-founder Arthur Hayes. Archetype led the company's 2023 round. "Programmable value and programmable intelligence are the two most important technologies since the internet, and Ritual mainnet is where they finally run on the same rails. When we led the round in 2023, a chain that could execute agentic and autonomous work natively did not exist. Today it does," said Ash Egan, Founder and General Partner of Archetype. Developers can deploy from day one on external sites hosted at docs.ritualfoundation.org; the network explorer is at explorer.ritualfoundation.org. About Ritual Ritual is a lab for autonomous intelligence. Its first network, Ritual Chain, is an EVM-compatible Layer 1 where applications can use AI models, access external services, and carry out private or scheduled work alongside onchain transactions, with delegated computation executed in trusted hardware and verified onchain. Founded in 2023 by former Polychain Capital partners Niraj Pant and Akilesh Potti, Ritual has raised $30M+ from Archetype and Polychain Capital, with a team drawn from Polychain, DeepMind, a16z crypto, Flashbots, and Palantir. ritual.net Contact. Jody Rebak Ritual [email protected]
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