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Nomad Data provides a platform for organizations to extract insights from internal documents and external datasets. It leverages custom AI to query unstructured text across thousands of documents, offering tools for data discovery and organization. This solution centralizes knowledge, enabling users to manage assets and external data sourcing, streamlining enterprise data landscapes.
Brad Schneider, CEO, and Justin Manikas, VP of Partnerships, co-founded Nomad Data. Their collaboration recognized challenges businesses faced in fragmented external data ecosystems. Manikas, a product leader in alternative data and former desk strategist, brought financial insights, shaping the platform's vision for extracting value from internal documentation.
Nomad Data serves clients in consulting, corporate sectors, and asset management. Its mission is to democratize data access and insights, empowering organizations to efficiently find, organize, and utilize valuable information. The company envisions a future where businesses unlock actionable intelligence from their data universe, fostering informed decision-making.
Nomad Data has raised $5.0M across 2 funding rounds.
Nomad Data has raised $5.0M in total across 2 funding rounds.
Nomad Data has raised $5.0M across 2 funding rounds. Most recently, it raised $3.0M Seed in December 2022.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Dec 1, 2022 | $3M Seed | Greg Stofman | Acrobator Ventures, Geek Ventures, Trestle Partners, Venture Development Partners, Yury Mazanik, Firat Isbecer, Michael Montero, Travis MAY, Alumni Ventures, Bloomberg Beta, Correlation Ventures, Flair Ventures, TenOneTen Ventures | Announced |
| Jun 1, 2021 | $2M Seed | — | 2.12 Angels, Acrew Capital, Alumni Ventures, Bloomberg Beta, Roger Bamford | Announced |
Nomad Data has raised $5.0M in total across 2 funding rounds.
Nomad Data's investors include Greg Stofman, Acrobator Ventures, Geek Ventures, Trestle Partners, Venture Development Partners, Yury Mazanik, Firat Isbecer, Michael Montero, Travis May, Alumni Ventures, Bloomberg Beta, Correlation Ventures.
Nomad Data is a New York-based technology company founded in 2020 that operates the world's largest marketplace for data providers, using AI to connect businesses with internal and external datasets for data-driven decision-making.[1][2][3][4] It builds a platform including Data Relationship Manager (DRM)—a CRM-like tool for tracking data interactions—and Enterprise Data Discovery with Connect, which matches user data requests to over 4,800 providers across 140+ categories in an average of 3 hours, achieving 95%+ success rates.[1][2][3] Nomad serves corporations, asset managers, and consultancies across industries like sales, marketing, strategy, operations, and competitive intelligence, solving the pain of sourcing, aggregating, and analyzing disparate data to drive revenue growth, cost savings, and insights—such as competitor analysis or partner vetting.[1][2][3][5] As an Alumni Ventures portfolio company with 8 employees, it demonstrates growth through 100+ new providers added monthly and client testimonials on time savings for niche data access.[1][2]
Nomad Data was founded in 2020 by Brad Schneider (CEO) and Justin Manikas (VP Partnerships & Co-founder) in New York City, inspired by Schneider's experience running Adaptive, where he observed businesses' strong interest in data for decisions but a lack of software to source and manage it effectively from thousands of vendors.[1][3][4] The idea emerged to create a centralized AI-driven platform revolutionizing data access, addressing the "tsunami of alternative data" and challenges in finding the right datasets amid fragmented providers.[1][3] Early traction came from building proprietary LLMs to match over 2,500 vendors to buyers, quickly scaling to hundreds of organizations and positioning Nomad as a key enabler for AI inference needs with highly-specific datasets.[1][3][4]
Nomad Data stands out in the data management space through these key strengths:
Nomad Data rides the explosive growth of AI and alternative data, particularly for LLM inference requiring obscure, high-specificity datasets amid a "tsunami" of fragmented providers—timing amplified by enterprises' shift to data-driven strategies post-2020 AI boom.[1][4] Market forces like rising demand for external data in competitive analysis, sales, and operations favor Nomad, as internal sources alone fail to reveal competitor moves or partner tech stacks.[5] It influences the ecosystem by democratizing data access for non-experts, boosting efficiency across consulting, asset management, and corporates, while fueling AI model training and business intelligence in a no-code era.[2][4]
Nomad Data is poised to expand as AI inference demand surges for niche datasets, potentially scaling its marketplace to tens of thousands of providers and deepening integrations with enterprise CRMs or LLMs.[1][4] Trends like no-code analytics and automated data pipelines will shape its path, enhancing DRM and Connect for broader adoption in supply chain and HR use cases.[2][5] Its influence may evolve from discovery tool to full data orchestration platform, solidifying its role in making every knowledge worker data-fluent—echoing its founding vision to connect businesses to a world of vendors for truly data-driven success.[1][3]
