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Harry $20 million in Series A funds have been raised to develop AI agents that can safely run on blockchain networks without the need for traditional smart contract development. By Andreessen HorowitzA16Z encryption), bringing the company’s total capital to more than $26 million.
Investing in Signal Signals is increasingly a way for Halliday to solve one of the toughest challenges of AI: Securely deploy autonomous agents in decentralized environments where errors can be expensive and irreversible.
“AI on the blockchain is still inaccessible due to compliance and security issues,” Halliday CEO Griffin Dunaif said in an exclusive interview with VentureBeat. “Generally, any minor errors can lead to a breach that leaves AI under attack for smart contract development at AI agents.
How Halliday’s Security Protocol makes AI Agent suitable for enterprise blockchain applications
Halliday’s core innovation, Agent Workflow Agreement (AWP)create what the company calls “unchanged guardrails” for AI agents running on blockchain networks. These guardrails ensure that autonomous systems can perform tasks within strictly defined parameters without risking vulnerabilities or unexpected actions.
“We have built the appropriate tools using the workflow protocol to enable AI to have an unchanged guardrail onChain,” Dunav explained. “The protocol ensures that no party or even Harry can circumvent guardrails on tasks.”
This approach can solve the fundamental challenge in AI development: how to allow autonomous agents to interact with financial systems and digital assets while maintaining security and compliance. By embedding security restrictions directly into the protocol layer, Halliday’s goal is to make AI agents trustworthy enough for enterprise applications.
AI-driven financial management and B2B automation are already in production
Unlike many AI startups that announced funding before the technology reaches production, Halliday has deployed its AI-ai-abable Workflow engine with several high-profile partners. Defi Kingdom,,,,, Core wallet By Ava Labs and Apechain.
The company’s workflow enables AI agents to automate complex, multi-step processes such as Treasury management, frequent payments and business-to-business transactions. These autonomous systems can run on multiple blockchain networks while maintaining compliance with predefined rules.
“Halliday handles all the heavy lifting: protocol integrations such as bridges and DEX, data translation and reliable multi-chain execution,” Dunav said. “With the workflow, teams can create breakthrough applications in hours rather than years.”
Accelerate enterprise AI adoption by removing blockades in blockchain programming
For enterprise customers, Halliday’s technology provides you with a pathway to blockchain networks and AI agents without a dedicated development team or the security risks that are often associated with smart contracts.
This can greatly accelerate the adoption of AI in financial services where institutions have shown interest in autonomous systems but are hampered by security and compliance issues. According to Dunaif, Halliday offers “10,000 times the development cost”, potentially shifting AI-Blockchain integration from capital-intensive projects to operating expenses.
“There is an opportunity to expand Web3 and bring our workflow protocols to fintechs and banks looking to enter the crypto arena, whether it’s through a Stablecoin subscription, global revenue products or programmable Treasury administration,” Dunaif noted.
Will a secure AI agent unlock the next wave of enterprise blockchain adoption?
The intersection of AI and blockchain has long promised a strong new business model. Autonomous agents that perform complex financial transactions without manual intervention can greatly reduce costs and enable new services. However, the risk of rogue AI agents or exploitable regulations has been adopted by businesses with limited risk.
Halliday’s approach aims to solve this problem by creating a middleware layer that handles security and execution, while allowing enterprises to focus on the logic that defines their AI proxy. This separation of concerns may make AI-Blockchain integration more accessible to mainstream companies.
“We are expanding Stripe’s technology will be used by developers who create their own blockchain,” Dunav explained in a discussion of how Halliday works with traditional financial infrastructure.
The Future of Enterprise AI: Automated Workflow Replacement Manual Process
With new funding, Halliday plans to accelerate the development of its AI workflow protocol and expand its team. The company has attracted talent from leading technology companies, including letter,,,,, Yuan,,,,, Netflix,,,,, stripeand Compounds.
Halliday paymenta first-party protocol-based application that demonstrates how AI agents can simplify complex processes. It provides an end-to-end payment solution that uses AI to handle the complexity of blockchain transactions, reducing barriers to new users.
“By safely delegating workflows to autonomous systems like agents or software, teams can create breakthrough applications in hours rather than years,” Dunaif said.
As enterprises continue to explore the potential of AI to automate complex workflows, solutions like Halliday solve the fundamental challenges of security and compliance, which may play a crucial role in bringing these technologies to mainstream adoption.
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