Technology-Driven Investment Management



Lima Capital LLC is a regulated Investment Advisor and Collective Investment Scheme (CIS) Manager, which looks to disrupt the traditional investment industry through the use of technology to help lower the costs associated with investment and wealth management.

These new technologies aim to improve the client outcome within the investment industry by increasing disintermediation, increasing transparency, reducing operational friction, and costs, and allowing fully-fledged access to products that have traditionally been reserved for institutions and high net worth individuals. Examples of these improvements aim to utilise the likes of Machine Learning (ML), Distributed Ledger Technology (DLT), and digital-first user onboarding.


The team behind Lima Capital LLC have successfully implemented Machine Learning techniques across a range of investment offerings. Machine Learning has proven a strong track record of highly effective decision making in the managed risk space. Due to significant technical complexity, the fast pace of technical innovation, as well as industry conservatism, Machine Learning and specifically deep learning is an underexploited approach to dynamically manage risk in investment portfolios. We at Lima Capital believe this investment approach will change the investment management landscape over the long-term.


As firm believers in the benefits brought about by the open-source movement, we at Lima believe that our role in the blockchain ecosystem is to build bridges for traditional capital to stimulate the growth of a more transparent and trusted global finance network.

Lima’s digital asset focused funds are driven by consistent demand for investment vehicles, specifically those that are able to effectively house and trade crypto-assets and are structured as regulated investment products. Our success primarily stems from family offices and high-net-worth individuals that are targeting cryptocurrency exposure or looking for access to on-chain yield opportunities, without the nuances associated custody, and for individuals who prefer to use traditional investment products.

The operational and regulatory infrastructure supporting our product line has been appealing to the traditional, as well as the ‘new age’ investment landscape, as we tick most boxes, covering services from audit right through to traditional custody.

Lima Advisory is a division of Lima Capital LLC, which provides financial services and artificial intelligence (AI); mostly in the form of machine learning; (ML) consulting services to money managers from different sectors of the industry, including asset management, insurance, wealth management, and banking.

We have also successfully implemented various projects whereby we have set up traditional investment and insurance solutions for some of the largest financial services providers in Africa. To date, we have approximately US$ 238m under administration, advice, and management.

We continue to offer offshore consulting and regulatory structuring, and currently work with two of the largest insurance companies listed in South Africa.

Our distribution solution, Stackr, is a global long-term savings solution, through which a personalized trust structure allows investors to hold a diversified portfolio of both traditional and digital assets. The intersection of traditional finance and modern-day financial technology has enabled Stackr to pioneer this innovative, secure, and flexible savings solution.





The founders of Lima Capital are industry veterans, having successfully implemented one of the first multi-asset, balanced collective investment schemes which now exclusively uses data science to run the investment process.

The larger Lima team comprises of crypto specialists, Etherbridge, machine learning specialists, DataProphet, and tokenisation experts Bakari AG, who come together to curate optimal investment solutions – which is the culmination of decades of traditional financial markets experience coalesced with new-age knowledge and machine learning expertise.

Brendan Gallagher
Brendan GallagherFounder & Chief Executive
Lee Zeinzinger
Lee ZeinzingerChief Technology Officer
Jason Carpenter
Jason CarpenterChief Investment Officer
Hugo May
Hugo MayHead of Strategy
Michael Haynes
Michael HaynesHead of Operations
Dridhasana Raghunandan
Dridhasana RaghunandanInvestment Analyst
Jonjon Clark
Jonjon ClarkFounder & Advisor
Maria Clara Mejia
Maria Clara MejiaHead of Marketing
Bashir Nabeebokus
Bashir NabeebokusInvestment Committee Member
Hashim Joomye
Hashim JoomyeInvestment Committee Member


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