DeFi Portal Avantgarde Eyes DAO Treasuries, Asset Managers With $5.5M Funding Round
It’s the latest “picks-and-shovels” play for the surging world of DAOs.

The startup formerly known as Melonport is homing in on decentralized autonomous organizations (DAOs) for its latest act.
Avantgarde Finance has raised $5.5 million in a Series A funding round that was led by Blockchange Ventures. Investments also came from Acrew Ventures, Jump Capital and Placeholder VC, among others.
“The funding is going directly towards growing the team size,” Avantgarde CEO Mona El Isa told CoinDesk, with the goal to extend the company’s user base to asset managers, treasury managers, dapp developers and DAOs.
The platform is built on Enzyme, an Ethereum-based liquidity aggregation protocol from the same team, and represents the latest “picks-and-shovels” play for the surging world of DAOs. Think of DAOs as group chats with a shared “checking account” for Web3 investments.
“We believe an entirely new class of investors is emerging, including DAOs, one-person funds and coordinated investing by the masses,” said Ken Seiff, managing partner of Blockchange Ventures. “Much of this will likely occur on the blockchain and with digital assets.”
Read more: DAOs May Be the Future of Work, but Don’t Bet on Them Being the Next Big Asset Class
El Isa, who served as a vice president at Goldman Sachs for over seven years, started her entrepreneurial career with Melonport, an Ethereum-based hedge fund platform founded in 2016.
Melonport was a key steward of the Melon Protocol, which rebranded to Enzyme in late 2020.
Enzyme ranks 42nd in terms of total value locked (TVL), according to DeFi Pulse, with a relatively meager $122 million in assets committed to the platform.
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What to know:
- A purpose-built AI security agent detected vulnerabilities in 92% of 90 exploited DeFi contracts ($96.8 million in exploit value), compared with 34% and $7.5 million for a baseline GPT-5.1-based coding agent running on the same underlying model.
- The gap came from domain-specific security methodology layered on top of the model, not differences in core AI capability, according to the report.
- The findings come as prior research from Anthropic and OpenAI shows AI agents can execute end-to-end smart contract exploits at low cost, accelerating concerns that offensive AI capabilities are scaling faster than defensive adoption.











