Oro raises $3M to build AI agents that turn plain-language prompts into onchain transactions
Dubai-based fintech startup Oro has raised $3 million to build AI agents that can turn plain-language requests into multi-step onchain transactions, giving users a simpler way to interact with decentralized finance without handing over control of their wallets.
MH Ventures and Mapleblock Capital co-led the strategic round, with participation from M2M Capital, Archer Capital, and X21 Digital. Existing investors Disrupt.com and ZIG Labs returned with follow-on backing. The new financing brings Oro’s total funding to $4 million.
Oro’s premise is straightforward: users describe a financial action in everyday language, and its AI translates that request into a route involving one or more onchain transactions. Instead of manually moving between protocols and piecing together each step, users can tell Oro what they want to accomplish.
Oro does not take custody of their assets. Transactions still require approval and signatures through users’ own wallets, an important distinction as AI agents move from answering questions to taking actions involving money.
The company says it has attracted more than 350,000 active users and supports over 80 languages. Its mainnet integrations include Aave, Uniswap, Lido, Morpho, Kamino, and Raydium, giving its system access to some of the better-known protocols across lending, staking, trading, and decentralized finance.
From AI Answers to Financial Actions: Oro’s Bet on AI-Powered Finance
Oro sits at the intersection of two trends gaining attention across the tech industry: AI agents that can execute tasks and intent-based systems that hide much of the machinery required to complete those tasks.
That combination becomes particularly interesting in DeFi, where seemingly simple goals can require several transactions across different protocols. A user may know what financial outcome they want without knowing which applications, assets, or transaction sequence will get them there.

Oro bets that natural language can become the interface above that infrastructure.
“Over the past 18 months, the Web3 landscape went through a market filter where projects without genuine utility quietly disappeared, but Oro thrived by proving that combining financial infrastructure with natural-language AI creates a product that mass-market users actually want,” Oro co-founder and CEO Varun Choudhary said. “We are witnessing a monumental shift toward intent-based execution. This funding round proves that real, sustainable product-market fit backed by hundreds of thousands of active users will always attract top-tier institutional capital, giving us the exact runway needed to consolidate our first-mover advantage globally.”
Oro plans to use the fresh capital for AI and agent research, its proprietary Shield Engine and natural-language execution technology, regulatory and compliance work, hiring, marketing, and enterprise integrations.
The company has set an ambitious target of reaching 10 million active users over the next six to 12 months. Its roadmap includes native iOS and Android apps, more protocol integrations, and a bigger push into B2B infrastructure that would let third-party platforms use Oro as an intent-routing layer.
Getting from 350,000 users to 10 million would represent a huge leap, and funding alone won’t guarantee it. The more consequential question is whether AI can remove enough DeFi friction to attract people with little interest in learning how its underlying machinery works.
If Oro’s approach catches on, the interface for interacting with onchain finance could start looking less like a collection of crypto dashboards and more like a conversation: tell an AI what you want done, review what it proposes, and sign the transactions yourself.

