
Algoma, a Brooklyn, NY-based AI-native real estate development platform, has raised $2.3 million in seed funding.
Investors
The round was led by Zacua Ventures, with participation from SOSV, Iron Prairie Ventures, DOMiNO Ventures, Compose VC, and several angel investors in AI, construction, and real estate.
Zacua Ventures is a global early-stage venture capital firm dedicated to transforming the built environment by investing in startups that address critical challenges in sustainability, productivity, and urbanization. Established in 2022 and headquartered in Burlingame, California, Zacua operates across North America, Europe, Latin America, and Asia, with regional offices in San Francisco, Madrid, Mexico City, Singapore, and New York.
Algoma Use of Funds
The company will use the funds to expand its engineering team, enhance its product suite, and further develop its web platform.
About Algoma
Founded in 2023 by Josef Bromovsky, Seyfihan Usarer, and Kyle MertensMeyer, Algoma is a real estate technology company that provides an AI-powered development platform that automates pre-construction services for real estate developers. Its platform streamlines feasibility analysis—combining zoning, market intelligence, construction costs, and financial modeling—all in one interface. It empowers developers and contractors, saves time, reduces costs, and enables smarter decision-making. Algoma delivers instant zoning analysis, market intelligence, site-specific design massing, unit mix and layout suggestions, pro forma generation, and investor-ready visualizations.
Funding Details
Company: Algoma, Inc.
Raised: $2.3M
Round: Seed
Funding Date: May 2025
Lead Investor: Zacua Ventures
Additional Investors: SOSV, Iron Prairie Ventures, DOMiNO Ventures, Compose VC
Company Website: https://www.algoma.co/
Software Category: Real Estate Development / PropTech / AI
Source: https://www.globenewswire.com/news-release/2025/05/15/3082413/0/en/PropTech-Startup-Algoma-Raises-Seed-Round-to-Become-the-AI-Engine-Behind-Every-Real-Estate-Deal.html