What is Daloopa?
Founded in 2019 and headquartered in New York City, Daloopa utilizes artificial intelligence to construct sophisticated financial models. These models are designed to inform and enhance the investment decisions of buy-side analysts and investors. The company operates within the burgeoning fintech sector, aiming to provide data-driven insights that offer a competitive edge in complex financial markets. Its core technology focuses on automating the creation of financial data, a critical component for institutional investors.
How much funding has Daloopa raised?
Daloopa has raised a total of $105M across 5 funding rounds:
Series A
$20M
Series B
$18M
Private Equity
$7M
Other Financing Round
$13M
Series C
$47M
Series A (2021): $20M with participation from Hack VC, Uncorrelated Ventures, Nexus Venture Partners, and NEXT Investors
Series B (2024): $18M led by Nexus Venture Partners and Morgan Stanley
Private Equity (2025): $7M, investors not publicly disclosed
Other Financing Round (2025): $13M featuring Pavilion Capital
Series C (2026): $47M backed by Nexus Venture Partners, Touring Capital, Brighton Park Capital, and Squarepoint Capital
Key Investors in Daloopa
Nexus Venture Partners
Nexus Ventures Partners is a venture capital firm specializing in seed, startup, growth capital, and early-stage investments, founded in 2006 and based in California.
Pavilion Capital
Pavilion Capital Partners is a growth-oriented private equity investor focused on fast-growing companies in the United States and Asia, providing capital and strategic support.
Brighton Park Capital
Brighton Park Capital is an investment firm based in Greenwich, CT, specializing in software, information services, technology-enabled services, and healthcare, seeking to invest in innovative solutions.
What's next for Daloopa?
The recent major strategic investment signals Daloopa's transition into a more mature phase of enterprise-level development. This substantial backing is expected to accelerate product innovation, expand its market reach, and potentially facilitate strategic partnerships or acquisitions. The company's focus on AI-driven financial modeling positions it to capitalize on the increasing demand for advanced analytics and data automation in the investment industry. Future growth will likely involve scaling its operations and deepening its technological capabilities to maintain its competitive advantage.
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