
Euclidea
Online investment and asset management.
Date | Investors | Amount | Round |
---|---|---|---|
investor | €0.0 | round | |
* | N/A | Acquisition | |
Total Funding | 000k |

EUR | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 |
% growth | - | (51 %) | 194 % | 23 % |
EBITDA | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 |
% profit margin | 1 % | (44 %) | 14 % | 4 % |
EV | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article
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Euclidea is an investment management firm that leverages machine learning for its core strategy. The company was founded by John Alberg and Michael Seckler, who previously co-founded and managed Employease, one of the earliest software-as-a-service (SaaS) companies. Their journey with Employease, which saw 36 consecutive quarters of revenue growth before being acquired by ADP, provided them with deep insights into business operations and growth dynamics. This experience, coupled with the challenge of managing their own capital post-acquisition, led them to establish Euclidean. They sought a process-driven investment approach grounded in long-term evaluation and shielded from human behavioral biases.
The firm's business model is centered on applying proprietary algorithms to analyze public companies as potential long-term investments. Euclidea offers its services as an independent asset manager, aiming for transparency and lower costs compared to traditional financial institutions. The core of their service is a technology-driven approach to savings and investment management, combining algorithmic analysis with human expertise for management and client support. The company also acts as a sub-advisor to an Exchange-Traded Fund (ETF), making its investment strategy accessible to a broader market. The target clients appear to be individuals and entities seeking a systematic, long-term investment strategy. Euclidean Technologies has also participated as an investor in funding rounds for other companies, such as a $140 million financing for SetPoint Medical.
The company's primary offering is its machine learning-based investment platform. This system evaluates individual companies by processing vast amounts of data to identify markers of long-term value, a method distinct from the qualitative analysis common in the asset management industry. The benefit for clients is an investment process that is systematic, disciplined, and based on principles of long-term business evaluation rather than short-term market sentiment. John Alberg currently manages the firm's operations, with Michael Seckler serving in an advisory capacity.
Keywords: investment management, machine learning, asset management, quantitative investing, long-term investing, financial technology, proprietary algorithms, public equities, systematic investing, data-driven investment, SaaS founders, Employease, John Alberg, Michael Seckler, ETF sub-advisor, equity analysis, financial services, portfolio management, algorithmic trading, investment strategy