Below is a guest post and guest post from Thomas Pratter, founder and CEO of Renesis.
Liquid crypto funds are having a moment. The number of actively managed vehicles is increasing, DeFi strategies are gaining legitimacy, and regulatory clarity is slowly gaining ground. Distributors of institutions pay more attention than ever.
But behind the optimism lies an interesting truth: most fund managers still operate on tape.
Spreadsheet problem
Ask any emerging fund manager how they track their portfolio across five exchanges, three blockchains and a range of DeFi protocols. The honest answer is usually several sets of spreadsheets, custom scripts, and a lot of manual reconciliation.
This is not a technological problem in the traditional sense. Protocols work. Exchanges have an API. There is information. The problem is that no one has put it all together in a way that makes sense for a real capital management fund.
For a CeFi-only fund trading site and perps on centralized exchanges, the tool gap is annoying but manageable. For a fund that implements DeFi strategies, providing liquidity, interest, lending and farming across multiple protocols and chains, it becomes operationally vulnerable.
Why DeFi makes everything more difficult
DeFi positions are very different from the centralized balance of exchanges. The position of LP in Uniswap is not a number in the account. It is a dynamic and multi-asset exposure that accumulates payments, changes in composition and can behave very differently depending on market conditions. The recovery position in EigenLayer contains layers of representation and reward calculation that no traditional portfolio system is built for analysis.
The result is that fund managers with complex DeFi strategies are often unable to answer basic questions about their portfolios without hours of manual work. What is my current NAV? How did this position fare in the last quarter? What is my actual exposure by protocol, chain, strategy?
These are table questions for any institutional operation. And for many DeFi-native funds, the exact answer to them is still a real challenge.
Talking about LP reporting
The problem lies in the scope of internal vision. Fund managers must report to their LP. Distributors increasingly expect clean dashboards, auditable performance data and institutional-level analytics. The three-year records become more significant as funds starting in 2022 reach this milestone.
If you can’t get a clean Sharpe ratio, proper mining analysis, or NAV history that calculates your DeFi position, you’re not just operationally inefficient. You lose confidence in the people who write the checks.
Legacy portfolio management systems were not designed for this. Most of them are built for a world where positions live on centralized exchanges and assets have clean tickers. Bolting DeFi to these systems usually means wallet scanning, which tells you the token balance, but nothing about the actual nature of your positions.
Why AI is the only way forward
DeFi is moving fast. New protocols are launched every week. Existing types will update, tweak or replace their mechanics. Any system that relies on purely manual protocol integration will always fall behind.
AI is important here, not as a buzzword but as a practical necessity. At Renesis, we use AI classification to automatically identify and classify DeFi positions. On top of our 80+ manually mapped protocols, our AI layer ensures that every other protocol the fund interacts with is recognized, categorized and accurately reflected in the portfolio view.
The DeFi landscape is moving too fast and too fragmented for a team of engineers to keep a handle on. AI allows a small, focused team to cover the entire DeFi field without sacrificing depth or accuracy. That’s how a seven-person company can deliver the coverage that legacy vendors struggle with 200-person teams.
What DeFi Institutional Infrastructure Really Needs
From talking to dozens of fund managers over the past two years, a few requirements emerge.
A unified view across CeFi and DeFi. Not two dashboards, not a table that combines exports from three different tools. A perspective that natively understands both worlds.
Protocol level intelligence. The system needs to understand what Pendle’s yield symbol is, how Aave’s lending position works, and what the funding rates are at Hyperliquid. There are not only those tokens in the wallet. This means deep protocol-by-protocol mapping paired with AI clustering for long-tail processing.
LP-oriented reporting that looks professional. Customizable dashboards that give distributors the metrics they need without requiring the fund manager to build them from scratch every quarter.
And the execution infrastructure that connects to a portfolio type. Managing your portfolio in one system and making trades in another, without shared context, should be a thing of the past.
Try it today
This is exactly the problem we built Renesis to solve. A DeFi-native portfolio management and execution platform for the fund manager that trades in both centralized and decentralized spaces. It’s completely live, free to sign up, and already manages real portfolios.
If you have liquid funds and spend more time matching data than making investment decisions, go to renesis.fi and connect your first wallet or exchange account in minutes. No sales call required, no buying period. Just sign up and see your portfolio as it should be.
The crypto fund landscape is rapidly maturing. The infrastructure must match this dream.
The post Liquid Cryptocurrency Has DeFi Problems No One Is Talking About appeared first on CryptoSlate.
