Unlocking the Power of Artificial Intelligence in Fund Management: Meet Lima Capital LLC

In the world of investment, seizing opportunities often means embracing risk, and Lima Capital LLC is leading the way with its ground-breaking use of innovative artificial intelligence (AI) technology for fund management.  Through our AI and commitment to innovation, we are exploring new possibilities and making notable strides in the industry.

We use a machine learning investment framework that has been meticulously designed to deliver robust results, especially in the context of managing financial assets with a focus on minimizing risk. At its core, this framework leverages AI to determine the optimal exposure to various financial instruments, such as exchange-traded funds (ETFs), while keeping a keen eye on limiting potential drawdowns. This process is entirely automated, driven by machine learning algorithms, and enriched by insights from domain experts, and our date science partner, DataProphet.

AI provides a competitive advantage, but it also allows for greater efficiency and cost savings. By automating data analysis and portfolio optimisation through AI-driven algorithms, fund managers can channel their efforts toward strategic decision-making, ultimately delivering greater value to our clients.

Advantages of using artificial intelligence in fund management


Artificial intelligence has proven to be a game-changer in various industries, and fund management is no exception. The use of AI brings numerous advantages that traditional methods simply cannot match. There are four pivotal pillars for transformation in this evolving landscape.

Generating Alpha: For firms aspiring to achieve organic growth through outperformance, the world of big data and alternative data presents a wealth of opportunities to generate additional alpha. Artificial intelligence, powered by advanced analytics, can unveil hidden patterns and insights in data, enabling fund managers to identify alpha-generating opportunities that might elude human analysts.

Enhancing Operational Efficiency: Beyond alpha generation, firms are increasingly deploying AI and advanced automation to continuously enhance the efficiency of their operations. Moreover, firms can go further by transforming these traditional cost centres into AI-enabled ‘as-a-service’ offerings. This approach not only improves productivity but also streamlines costs by automating time-consuming tasks, echoing the efficiency advantages of AI.

Improving Product and Content Distribution: AI plays a pivotal role in understanding investor preferences in real time, enabling the agile and targeted delivery of content. The power of AI in personalizing and accelerating content distribution to clients.

Managing Risk: AI’s impact extends to bolstering compliance and risk management functions. It enables automation of data analysis, reduction of administrative tasks, and the refocusing of employees’ efforts on higher-value activities.

Source: Deloitte

How Lima Capital LLC uses artificial intelligence in fund management

Lima Capital has strategically integrated this technology to revolutionize the way we manage funds, with a particular focus on exchange-traded funds (ETFs). Our approach to fund management can be characterised by several key elements:

  1. Model Optimisation: In the world of deep learning, there’s often a race to find the perfect model. However, the financial markets are far from static, making it impractical to rely on a single, hyper-specialized model. We take a different approach by focusing on core model characteristics like recognizing patterns across different timeframes and understanding both short-term and long-term market dynamics. This approach involves a diverse ensemble of models, each contributing its unique strengths.
  2. Continuous Learning: Financial markets are notoriously complex and can behave differently in various circumstances. We acknowledge that no single model or set of models can consistently predict market behaviour. Therefore, we prioritize continuous learning. Our AI models are exposed to new data continuously, allowing us to adapt and uncover new patterns as they emerge.
  3. Exposure Determination: Our primary objective is to estimate the optimal market exposure for future time periods. Our framework predicts market outcomes and assesses confidence levels, enabling the determination of the optimal investment exposure to each underlying instrument. During periods of high volatility, we place explicit constraints on market exposures to safeguard against potential model errors and limit downside risk.
  4. Bias Minimization: We are acutely aware of the pitfalls of modelling financial time series. To minimize biases that can impact quantitative modelling, we’ve taken a meticulous approach. Our design choices are driven by a commitment to avoid overfitting, which is a common trap where models become too closely tied to historical data patterns, leading to poor real-world performance.

Get Started with AI in Fund Management

If you’re an asset manager, wealth manager, insurance company, or family office aiming to enhance and diversify your portfolio, we provide an exciting opportunity to harness the potential of artificial intelligence (AI) in your fund management strategies.

Our AI-powered approach merges state-of-the-art technology with extensive industry knowledge, enabling you to fine-tune your investment choices and attain superior portfolio results. To embark on this journey, simply get in touch with us.

Other companies using artificial intelligence in fund management

Lima Capital is not the only company leveraging artificial intelligence in fund management. Many other companies have recognized the potential of AI and have integrated it into their investment strategies.

One notable example is BlackRock, one of the largest asset management firms in the world. BlackRock has developed Aladdin, an AI-powered investment platform that assists fund managers in making informed decisions. Aladdin analyses a vast amount of data and provides insights on risk management, portfolio construction, and performance attribution. In case you missed our latest case study, we have also used the expertise of BlackRock as the asset allocation advisor.

Another company at the forefront of AI-driven fund management is Two Sigma. Two Sigma utilizes machine learning algorithms to analyse market data and identify investment opportunities. Their AI system continuously learns and adapts to changing market conditions, allowing them to generate alpha for their clients.

These examples highlight how AI is becoming increasingly prevalent in the fund management industry. As more companies embrace AI, it is expected that the industry will witness significant advancements and transformations in the coming years.

The Promising Future of AI in Fund Management

In conclusion, Lima Capital LLC is embracing artificial intelligence to enhance its fund management practices. By harnessing the power of AI and machine learning, we are able to meticulously manage risk, learn, and adapt to changing market dynamics, make more informed investment decisions, and achieve superior results for our clients.

Looking ahead, the future of artificial intelligence in fund management is promising. Advancements in NLP, machine learning, and deep learning techniques will further enhance the capabilities of AI systems, enabling fund managers to make more informed and proactive investment decisions.

For fund managers considering implementing AI, it is crucial to clearly define objectives, ensure access to high-quality data, explore AI technologies, and embrace a culture of continuous learning.

As technology continues to evolve, Lima Capital remains at the forefront of innovation, driving the industry forward and redefining what it means to be a fund manager in the digital age. With our commitment to excellence and their pioneering use of AI, Lima Capital is unlocking the power of artificial intelligence in fund management and shaping the future of the industry.


Neil Mupfupi

Portfolio Risk Analyst

Neil’s professional journey includes significant roles that have honed his expertise in investment analysis. His certification in Market Concepts from Bloomberg has further enhanced his skills in market analysis and financial reporting. Previously, as a Client Executive, Neil demonstrated his capability in integrating new clients in compliance with stringent regulatory standards. His tenure as a junior corporate finance analyst provided him valuable experience in assessing the viability of investments and managing risks in demanding situations.

At Lima Capital LLC, Neil is dedicated to investment analysis, risk management, and portfolio management, ensuring adherence to both global and local regulatory frameworks. He is committed to contribute to the growth and stability of investment portfolios while maintaining a strong relationship with our clients.