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§ Private Profile · San Francisco, CA, USA
Mobile app performance management platform offering crash reporting and user experience analytics for developers and IT teams.
Based in San Francisco, California, Apteligent provides mobile application performance management and crash reporting software that helps developers and enterprise IT teams diagnose issues across iOS, Android, and hybrid platforms. Prior to its acquisition, the business raised $48.72 million in total venture funding and monitored tens of billions of app loads across hundreds of millions of active mobile devices globally. The enterprise secured early financial backing from prominent venture capital firms including Kleiner Perkins, Google Ventures, Shasta Ventures, and Scale Venture Partners. In May 2017, the company, which operated with an estimated 50 to 100 employees, was acquired by VMware to integrate mobile user experience analytics into its broader digital workspace portfolio. Originally operating under the corporate name Crittercism, the software company was founded in 2011 by Andrew Levy, Robert Kwok, and Jeeyun Kim.
Apteligent has raised $49.0M across 5 funding rounds.
Apteligent has raised $49.0M in total across 5 funding rounds.
Apteligent has raised $49.0M across 5 funding rounds. Most recently, it raised $30.0M Series C in May 2014.
Apteligent has raised $49.0M in total across 5 funding rounds.
Apteligent's investors include Scale Venture Partners, Adams Street Partners, Bling Capital, DCM, End Partners, Fusion Fund, General Catalyst, Hannah Grey, InterWest, Khosla Ventures, Moonshots Capital, Shasta Ventures.
Apteligent (formerly Crittercism) was a San Francisco-based technology company that built a mobile application performance management platform.[1][2][4] It served mobile developers, product managers, and businesses by providing real-time diagnostics, crash reporting, and performance insights for iOS, Android, Hybrid, and Unity apps, solving issues like crashes, freezes, and user flow problems that impact engagement and revenue.[1][2][3] The platform analyzed over 9 billion monthly app launches across 23 million apps, including Pokémon Go, and offered benchmarks, big data access, and predictive intelligence to optimize user experience and business metrics; it generated $29 million in revenue by 2025 before integration into larger ecosystems.[1][2]
Apteligent was founded in 2010 (or 2011 per some records) by Andrew Levy, Robert Kwok, and Jeeyun Kim in San Francisco.[1][2][4] Starting as Crittercism, it emerged to address the need for mobile app crash reporting and diagnostics amid the rise of smartphones, evolving into a full predictive app intelligence platform with tools for performance monitoring, network insights, and ecosystem reports.[1][5] Early traction included partnerships like STL Partners for carrier performance reports in 2016 and adoption by major apps; the company raised $48.7 million from investors including Scale Venture Partners, GV, and VMware itself, culminating in its acquisition by VMware on May 15, 2017.[1][4][5]
Apteligent rode the explosive growth of mobile apps in the 2010s, where poor performance led to high churn amid rising smartphone penetration and app economies.[1][5] Its timing aligned with the shift to data-driven development, enabling devs to debug at scale as apps like Pokémon Go highlighted real-world crashes affecting millions.[1] Market forces like hybrid app proliferation and cloud-native demands favored its cross-platform tools, influencing the ecosystem by standardizing mobile APM (application performance management) and inspiring competitors like Bugsee and Testin.[4] Post-acquisition, it bolstered VMware's end-to-end monitoring from devices to clouds, accelerating enterprise digital transformation.[1][5]
Apteligent's technology lives on within VMware (now under Broadcom), evolving into products like Workspace ONE Intelligence for unified app intelligence.[1][7] Next steps likely involve deeper AI-driven predictions and multi-cloud expansions as mobile apps dominate enterprise workspaces. Trends like edge computing, 5G/6G networks, and hyper-personalized apps will amplify its diagnostics role, potentially expanding influence in IoT and AR/VR performance management—cementing its legacy from a startup solver of mobile crashes to a cornerstone of scalable app intelligence.[2][5]