From a London startup in 2005 to a global institutional analytics platform trusted by 150+ leading investors managing over $1.5tn in assets.
First company to apply AI to perform hedge fund due diligence — completing DDQs in minutes using AI-powered document analysis.
Launched Java Excel API for generating customised fact sheets. Represented at seven global conferences. Published 20+ finance-focused articles.
Enhanced development team with 10 new members. Introduced Microsoft PowerBI for fund reporting. First client successfully adopted Funds Due Diligence cloud platform. Renowned US university acquired AlternativeSoft.
Awarded Best Risk Management Software by Hedgeweek for the 4th year in a row. Opened a new office in Poland.
Appointed Steve Gollins as Head of Sales in North America. Opened Chicago office to serve US institutional clients.
Awarded Best Risk Management Software for 3rd year. Added Private Equity stress test model, free Nilsson hedge funds database (1,700 funds), and launched web platform.
Awarded Best Risk Management Software 2019 by clients. Two countries' pension funds purchased AlternativeSoft.
Launched a dedicated Private Equity Module for both fund and portfolio-level analysis, extending capabilities beyond hedge funds.
Launched first dedicated web-based software for fund selection, connecting to 17,000+ hedge funds and 250,000+ long-only funds.
AlternativeSoft founded in London. Began simplifying the fund selection and portfolio construction process for institutional investors by aggregating data into one intuitive platform.
AlternativeSoft streamlines many useful performance-based analytics — one of the easiest softwares for portfolio what-if and customised fund fact sheets I have ever handled.
AlternativeSoft is a practical and user-friendly tool as part of our portfolio construction and risk management process. Their support provides added value.
From statistical analysis to peer group analysis and stress testing — AlternativeSoft is one of the most effective and intuitive tools I have handled.
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