.svg)
Running a multi-manager, multi-strategy (MM/MS) investment fund is challenging in any asset class. But in digital assets, the complexity is magnified tenfold. Crypto allocators and managers must navigate diverse and ever-evolving exchange APIs, integrate DeFi vaults and wallets, and track performance and fees denominated in multiple currencies like USDT, BTC, and ETH. The absence of standardized reporting frameworks across venues makes accurate and comparable performance measurement across spot, perpetuals, options, and structured products extremely difficult.
For digital asset funds—and increasingly for hedge funds, proprietary trading firms, digital asset treasuries (DATs), miners, and payment processors—allocating capital into managed strategies via SMAs (Separately Managed Accounts) has become an important way to generate yield while maintaining full custody and transparency. This new model of delegated trading allows institutions to access specialized alpha without giving up control of their assets.
At the same time, as the industry matures, it’s becoming crucial for both allocators and managers to rely on neutral, independent software providers—not firms that also operate as trading entities or deploy capital internally. Too often, technology vendors in the digital asset space blur the line between providing analytics and competing with their clients, whether directly or indirectly, by running trading operations that benefit from access to aggregated user data. GenieAI was built differently: we don’t trade, we don’t manage capital, and we don’t monetize client data. Our sole mission is to empower allocators and managers with transparent, institutional-grade software that enhances insight and performance—never competes with it.
Crypto exchanges have also recognized the shift toward multi-manager, multi-account workflows. Platforms like OKX, Bullish, Binance, Bybit, Deribit, Coinbase, FalconX, and Bitget have expanded their infrastructure to support SMAs and MM/MS structures, making it easier for allocators to create subaccounts and assign trading privileges to external teams via API. OKX’s Managed Subaccounts (MSAs) and Binance’s recently launched version both safeguard trader IP by allowing visibility only on balances and inflows—without exposing positions or execution details. This growing ecosystem opens tremendous opportunities for institutional allocators but introduces a new layer of operational, data, and risk complexity that traditional portfolio systems were never built to handle.
That’s exactly where GenieAI comes in. Our ecosystem—comprising the Portfolio Management System (PMS), Portfolio Lab, and Allo—provides a unified, modern, and customizable environment that integrates verified performance data, advanced analytics, and automation for both allocators and managers operating in this new paradigm.
The GenieAI PMS acts as the operational and analytical backbone of a digital asset fund. It consolidates data across prime brokers, centralized exchanges, and DeFi wallets into a single, consistent view of exposures, P&L, liquidity, and risk—updated in real time.
Allocators gain full transparency across their managers, easily tracking risk management practices and potential breaches while getting a fast and intuitive way to measure and compare performance across different portfolio managers, strategy types, or venues. Managers, on their end, can more easily track performance across their clients’ managed accounts—evaluating performance drift, tracking error, and consistency—while relying on a unified data source for reconciliation, performance-fee calculation, and invoicing, processes that would otherwise consume hours each week.
The PMS also supports multi-currency performance tracking (USD, BTC, ETH, and stablecoins), ensuring that fees, returns, and exposures are measured consistently even across exchange-native instruments.
Beyond data aggregation, allocators and portfolio managers can set up custom notifications and alerts for risk management—leveraging GenieAI’s AI stack and multi-agent ecosystem to build bespoke monitoring functions and event-driven triggers. This framework allows teams to encode their own “secret sauce” into live portfolio operations—automating detection of conditions like volatility spikes, liquidity shifts, or correlation breakdowns, and instantly alerting the right decision-makers across complex books.
Built with a modern, intuitive interface, the PMS offers customizable dashboards, alerts, and widgets so each user—from risk officers to PMs—can tailor their workspace to their needs. Every chart and metric loads instantly, empowering teams to drill into any dimension of performance or exposure in seconds.
Once portfolio data is unified in the PMS, Portfolio Lab transforms it into actionable intelligence. Allocators can simulate rebalancing scenarios, stress-test option strategies and drawdown resilience, and optimize capital allocations under multiple objectives such as return, volatility, or exposure constraints.
In Portfolio Lab, allocators can quickly assess strategy correlations, analyze performance across market regimes, and evaluate how risk-adjusted performance metrics compare across strategies or managers. Its flexible analytics engine allows users to upload daily return series or custom strategy time series to simulate the impact of adding new strategies to an existing portfolio. They can also design custom benchmarks—including automatically rebalanced multi-asset benchmarks—to more accurately measure alpha and understand how performance compares to internal or external targets. They can also leverage well-established benchmarks like Bitwise10 and CCi30.
For managers, Portfolio Lab enables rapid iteration on strategy mixes, comparing the behavior of sleeves or sub-strategies under different market conditions. Factor decomposition and scenario analysis reveal crowding, correlation spikes, and unintended exposures before they impact performance.
Every module in Portfolio Lab is built for customizability and speed. Users can adjust parameters, build scenarios, and visualize results in real time through a sleek, interactive interface designed for institutional workflows. Whether you’re evaluating manager allocations or refining your internal strategy stack, Portfolio Lab helps you make faster, more data-driven decisions.
At the discovery and due-diligence layer, Allo introduces verification and transparency to manager performance. Using read-only API connections, Allo validates live returns directly from trading venues—ensuring that allocators see actual, verified results rather than self-reported figures.
Allocators can browse and benchmark live SMA track records by strategy bucket, risk profile, or liquidity characteristics, while managers can connect their accounts in minutes to showcase verified performance without compromising data privacy or intellectual property.
This API-verified model streamlines due diligence and trust: allocators can now verify, compare, and monitor strategies continuously, reducing friction in manager selection and capital deployment.
Every GenieAI product is designed to deliver speed, accuracy, and intuitive control. The modern UI/UX allows instant filtering, visualization, and export of even the most complex data sets. Custom dashboards, pinned widgets, and dynamic layouts enable each user to create an environment that fits their specific needs.
Together with fee tracking, agentic alerts, and real-time portfolio synchronization, GenieAI replaces legacy manual workflows with a clean, responsive, and intelligent experience that keeps pace with the volatility and innovation of digital asset markets.
With GenieAI, allocators can verify manager performance through Allo, centralize data in the PMS, and perform quantitative analyses, optimizations and scenario analysis in Portfolio Lab—all within a unified, high-performance ecosystem. Managers, in turn, can automate reporting, streamline operations, and present allocator-grade analytics backed by verified, real-time data.
The result: faster insight, reduced operational risk, and a single source of truth for performance, exposure, and risk—purpose-built for the digital asset era.
“Our mission is to give institutional allocators and managers a shared source of truth. GenieAI replaces outdated reporting workflows with live, verified data and intuitive analytics—so teams can act with confidence.”
— Federico Mele-Cormier, CEO & Co-Founder, GenieAI
This content is provided for informational purposes only and does not constitute investment advice or a solicitation to invest. Past performance is not indicative of future results. All users of GenieAI and Allo remain solely responsible for their own investment decisions. GenieAI and Allo are software platforms and do not provide brokerage, advisory, or fund management services.
GenieAI is pioneering agentic finance—helping hedge funds, asset managers, and institutional allocators streamline portfolio operations, surface alpha, and manage risk with cutting-edge AI. GenieAI is backed by leading investors including Coinbase Ventures, Bain Capital Ventures, Goodwater Capital, Fasanara Digital, and Arca.
We’ve received your demo request and will get back to you within a few days.
.avif)
.svg)
