What is Tangent Works?
Tangent Works specializes in the democratization of predictive analytics through its proprietary Tangent Information Modeler (TIM) technology. By automating the machine learning modeling process, the company enables organizations to extract actionable insights from time-series data without the necessity of maintaining large, dedicated data science teams. This approach effectively lowers the barrier to entry for businesses seeking to leverage artificial intelligence for operational efficiency and strategic decision-making. Positioned at the intersection of big data and automated intelligence, Tangent Works provides a critical infrastructure layer for enterprises aiming to modernize their analytical capabilities in an increasingly data-driven global economy.
How much funding has Tangent Works raised?
Tangent Works has raised a total of $6.4M across 2 funding rounds:
Private Equity
$2.2M
Unspecified
$4.3M
Private Equity (2020): $2.2M with participation from Force Over Mass Capital LLP
Unspecified (2022): $4.3M led by Saffelberg Investments, FOMCAP IV, SFPIM Relaunch, and Molenwater Group
Key Investors in Tangent Works
Saffelberg Investments
An independent investment firm managing a substantial capital base, focusing on long-term growth in sectors such as Artificial Intelligence, IoT, and Life Sciences.
Force Over Mass Capital LLP
A venture capital firm specializing in early-stage and growth-stage technology investments, providing strategic guidance to high-potential software companies.
SFPIM Relaunch
A sovereign wealth fund and investment vehicle focused on supporting strategic economic growth and long-term industrial development.
What's next for Tangent Works?
With the infusion of this latest capital, Tangent Works is well-positioned to accelerate its product roadmap and expand its footprint in the enterprise AI market. The strategic focus will likely center on enhancing the scalability of the TIM platform to accommodate larger, more complex datasets while maintaining the ease-of-use that defines its current market value proposition. As the company scales, it is expected to deepen its integration with existing enterprise software ecosystems, further cementing its status as a foundational tool for automated predictive modeling. The continued support from institutional partners suggests a clear path toward sustained growth and potential market leadership in the automated machine learning space.
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