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§ Private Profile · Tel Aviv, Israel
Big data technology company developing cross-device identification for marketers, focused on digital advertising and user activity tracking.
Based in Tel Aviv, Israel, Crosswise develops big data technology and machine learning software designed for cross-device user identification across personal computers, mobile phones, and tablets. The platform processes over one petabyte of data monthly from billions of connected devices, enabling digital marketers and premium publishers to improve their advertising targeting, personalization, and analytics. Prior to its strategic corporate exit, the enterprise secured approximately $8 million in total venture funding, which included a $3 million Series A financing round backed by institutional investors such as ZhenFund, Giza Venture Capital, and Horizons Ventures. In April 2016, Oracle acquired the 20-employee company for an estimated valuation of $50 million to integrate these tracking capabilities into its broader marketing technology portfolio. Crosswise was originally founded in 2013 by the executive team of Steven Glanz, Jonathan Seidner, and Ron Reiter.
Crosswise has raised $5.0M across 2 funding rounds.
Crosswise has raised $5.0M in total across 2 funding rounds.
Crosswise has raised $5.0M across 2 funding rounds. Most recently, it raised $3.0M Series A in August 2015.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Aug 1, 2015 | $3M Series A | Pereg Ventures | Pitango Venture Capital, SOSV, ZhenFund, Emerge, Giza Venture Capital, Horizons Ventures, OurCrowd | Announced |
| Jan 1, 2014 | $2M Seed | — | Greenfield Partners, Pitango Venture Capital | Announced |
Crosswise has raised $5.0M in total across 2 funding rounds.
Crosswise's investors include Pereg Ventures, Pitango Venture Capital, SOSV, ZhenFund, Emerge, Giza Venture Capital, Horizons Ventures, OurCrowd, Greenfield Partners.
Crosswise is an AI-native startup that builds an artificial intelligence platform designed to automate compliance and risk management for banks and credit unions.[2][3][5] Its core product serves financial institutions by solving the challenges of tracking regulatory changes, scanning complaints, assessing risks, drafting policies, and performing tasks like fair lending analyses and disclosure testing—all while maintaining a real-time view of organizational risk through a dynamic knowledge base and configurable workflow engine.[2] The platform uses machine learning to automatically categorize information, update policies from shared documents, scan government sites for regulatory updates, and suggest changes to bridge compliance gaps, enabling rapid adaptation to evolving regulations, vendors, and business strategies.[2]
Note that an earlier company named Crosswise, acquired by Oracle around 2016, focused on cross-device identity mapping for ad tech using Big Data and machine learning, raising $5.62M before acquisition; the current Crosswise appears distinct, pivoting to AI-driven fintech compliance.[1][4]
The modern Crosswise was co-founded by two Co-CEOs, alongside a Founding Engineer, with a small team including a Software Engineer and Product Designer.[3] While specific founding dates and detailed backstories are not publicly detailed, the company emerged as an AI-native startup targeting financial services compliance, backed by prominent figures from banking, FinTech, and AI, including the Principal AI Lead at Amazon, former Chief Internal Auditor and Chief Risk Officer at SoFi, ex-Chief Risk Officer at Wells Fargo, former Chief Compliance Officer at American Express, and ex-CCO at Revolut US and Earnup.[3] Investors include top FinTech and AI backers, fueling its focus on out-of-the-box tools that bypass lengthy implementation cycles for risk management.[3][5]
Crosswise rides the wave of AI-native compliance tools in fintech, addressing surging regulatory complexity amid rising enforcement actions, data privacy laws (e.g., evolving U.S. banking rules), and AI-driven risk proliferation.[2][5] Timing is ideal post-2020s AI boom and post-SVB-era scrutiny on financial stability, where manual compliance burdens small-to-mid banks/credit unions; market forces like labor shortages in risk roles and API-accessible government data favor automated platforms.[2] It influences the ecosystem by democratizing enterprise-grade tools for smaller institutions, potentially accelerating AI adoption in regtech and reducing breach costs, akin to how early ad-tech Crosswise enabled cross-device targeting before Oracle's acquisition.[1][2]
Crosswise is positioned to scale as AI regulations tighten (e.g., potential U.S. AI safety mandates) and fintech compliance budgets grow, with expansions into broader risk workflows or international markets via its adaptive knowledge base.[2] Trends like multimodal AI for document processing and real-time API integrations will amplify its edge, evolving it from niche bank tool to full-spectrum governance platform amid VC interest in regtech.[3][5] Watch for partnerships with larger banks or acquisitions by compliance giants, building on its expert network to dominate AI risk management—echoing the original Crosswise's path to Oracle but in a compliance-first era.[1][3]