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Knoema
Knoema is a New York-based data analytics platform delivering curated economic, demographic, and industry datasets to institutional users.
Knoema
Knoema was founded in the mid-2000s, emerging from a team of data scientists and software engineers based in New York. The company built a platform that ingests, normalizes, and visualizes data from sources including the World Bank, IMF, UN, and national statistical agencies — a technical architecture designed to reduce the friction of cross-border data workflows. Ownership details and founding individuals are not publicly attributed. The firm's commercial strategy centers on a subscription-based model, selling access to its data catalog and API to financial institutions, consulting firms, and academic departments. Publicly documented use cases include macroeconomic forecasting, cross-country regression analysis, and dashboarding for sovereign wealth funds and central banks. The platform's primary geographies are North America, Europe, and Asia-Pacific, though coverage extends to all major economies. Knoema has never publicly disclosed a workforce size, funding rounds, or operating metrics. The firm's website and public materials do not name a leadership team, advisory board, or parent entity. No recent operational events — hires, product launches, partnerships, or capital raises — are verifiable through public record. The firm's structural differentiator lies in its data-catalog scale: Knoema claims a repository of over 3 billion data points across 1,000+ indicators, a breadth that rivals government data portals and niche vendors like Oxford Economics. Without disclosed ownership or financial reporting, its standing as an asset manager remains unverifiable — the firm may operate as a data services company rather than an investment vehicle.
General information
Firm type
Asset Manager
Year founded
—
AUM
Undisclosed
Location
Region
North America
Country
United States
City
New York
Corporate office
New York, NY, United States
Sector focus
Frequently asked questions
What is Knoema's primary product and how does it work?
Knoema operates a data aggregation and analytics platform that provides structured access to economic, demographic, and industry data from hundreds of sources including the World Bank, IMF, and UN (public record). Users can browse pre-built datasets, create custom indicators, and visualize time-series data through dashboards or API feeds. The target audience includes institutional investors, research departments, and government agencies requiring normalized cross-country data.
Does Knoema manage external capital or operate as an investment firm?
Knoema does not publicly disclose any AUM, fund vehicles, or asset management activity. Its website and public materials present the firm as a data services provider, not a fund manager. There is no verifiable evidence of Knoema making direct investments, managing third-party capital, or deploying proprietary balance sheet resources into securities or private companies.
Who founded Knoema and who owns the company?
Founding individuals and current ownership are not disclosed on Knoema's website or in any public filings that are readily accessible. The firm's legal structure and equity holders remain opaque. This lack of attribution is a significant information gap for allocators conducting due diligence.
What sectors or data categories does Knoema cover?
Knoema's platform covers economic output (GDP, inflation, trade), demographics (population, labor, education), energy, agriculture, environment, health, and infrastructure. Sector tags include Enterprise Software, Data & Analytics, and AI/ML, reflecting the platform's reliance on machine learning for data normalization and forecasting features.
How does Knoema differ from other data platforms like Bloomberg or Quandl?
Knoema differentiates itself through breadth of coverage — it aggregates data from over 1,000 sources into a single schema, reducing the need for users to manually integrate multiple feeds (public record). Its web-based interface and API are designed for lighter-weight deployment than terminal-bound platforms, making it accessible for organizations without dedicated data engineering teams.
Profile maintained by Altss using OSINT (open-source intelligence), regulatory filings, licensed data partners, and verified direct submissions. Read the methodology. Last updated: . Continuous refresh with full update cycles at least every 30 days.
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