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§ Private Profile · Los Angeles, CA, USA
Product Science is a technology company.
Product Science develops AI-powered deeptech solutions optimizing mobile application performance. The company provides advanced tools to identify and resolve critical issues impacting app speed and efficiency. Leveraging artificial intelligence, their core product offers actionable insights, eliminating delays and improving key mobile metrics for a seamless user experience. This approach addresses complex modern mobile development challenges.
Founded in 2021 by Daniil Liberman, Masha Liberman, and Maria Liberman, Product Science emerged from recognizing complex performance issues in mobile applications. Their insight highlighted the critical link between app performance and user engagement. This inspired the founders to create AI-driven tools, empowering developers to deliver superior mobile experiences through advanced technology.
Product Science serves mobile app developers and businesses focused on enhancing application performance and user satisfaction. The company’s vision extends to fostering broader AI innovation, specifically through secure, decentralized orchestration layers for advanced AI. Ultimately, Product Science aims to contribute to a robust, responsive digital future, ensuring consistently fast and efficient mobile experiences via deep technological expertise.
Product Science has raised $18.0M across 1 funding round.
Product Science has raised $18.0M in total across 1 funding round.
Product Science has raised $18.0M in total across 1 funding round.
Product Science's investors include 8-Bit Capital, Alkeon Capital, AME Cloud Ventures, Bain Capital Ventures, Benchmark, BoxOne Ventures, Buckley Ventures, Caffeinated Capital, Composite Ventures, David Namdar, Matt Ocko, Earl Grey Capital.
Product Science has raised $18.0M across 1 funding round. Most recently, it raised $18.0M Seed in January 2023.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jan 1, 2023 | $18M Seed | — | 8 BIT Capital, Alkeon Capital, AME Cloud Ventures, Bain Capital Ventures, Benchmark, BoxOne Ventures, Buckley Ventures, Caffeinated Capital, Composite Ventures, David Namdar, Matt Ocko, Earl Grey Capital, Endeavor Venture Funds, FirstHand Alliance, Goat Capital, Greylock, GSV Ventures, Hardware Club, Ignition Partners, LAUNCH, Lightspeed Venture Partners, Lowercarbon Capital, Maven Ventures, Morado Venture Partners, Pareto Holdings, Pario Ventures, Runa Capital, Sequoia Capital, Shaan's ALL Access Fund, Tribe Capital, Aaron King, Aaron Rankin (Sprout Social), Adam Michalski, Bill TAI, Chris Fanini, Daniel KAN, Emmett Shear, Immad Akhund, Jason Hunt, JAY Jamison, Kenny VAN Zant, Kyle Vogt, Matt Mazzeo, Mikhail Seregine, Oleg Rogynskyy, Peter Sellis, TED Serbinski, Vikas Gupta, Viral Bajaria, Vishal RAO, Jerry Murdock, Peter Fenton, Coatue, K5 Global, Mantis VC, Slow Ventures | Announced |
Product Science is a Los Angeles-based technology company founded in 2021 that builds an AI-powered performance management platform for mobile applications.[1][3][4][5] It serves mobile development teams at companies like Discord, Snap, People.ai, Popshop Live, Allposit, Saturn, and Humanism.is by analyzing source code and runtime data to identify performance bottlenecks, deliver visual insights, and optimize app speed and user experience.[1][3][5] The platform helps solve critical issues like slowdowns that degrade user retention, enabling faster apps and up to 20% cloud cost savings, with strong growth evidenced by backing from top investors like Benchmark's Peter Fenton and Insight Partners' Jerry Murdock.[3][4]
This positions Product Science in the booming mobile devtools space, where high-performing apps directly drive metrics like engagement and revenue amid rising user expectations for seamless experiences.[1][5]
Product Science was founded in 2021 in Los Angeles, California, by a team with deep expertise in technology, product management, and AI from leading companies.[1][3][5] Key figures include Michael Liberman (Founder and CEO of Allposit), alongside advisors and early team members like Ben Schwerin (Coatue General Partner, ex-Snap), Sarah Shanfield (Saturn CBO), Dylan Diamond (Saturn Founder and CEO), Max Baron (Saturn Founder and COO), and Mehreen Malik (Humanism.is).[3][4] The idea emerged from founders' experiences tackling mobile performance challenges at scale, combining mobile-first engineering with AI to automate issue detection—previously a manual, time-intensive process.[3][5]
Early traction came quickly through integrations like IDE tools and plugins for video-recorded app traces, plus a 2023 "Delay Indicator" feature launch, attracting enterprise clients and elite backers who validated its disruption of mobile performance engineering.[1][5]
Product Science stands out in the crowded APM (application performance monitoring) market through these key strengths:
Product Science rides the mobile performance optimization trend, fueled by exploding app usage, AI advancements, and cloud economics pressures.[1][3][5] Timing is ideal: as apps like social and e-commerce platforms scale to billions of users, even minor slowdowns cause 20-50% retention drops; AI tooling now makes proactive fixes feasible at speed.[5] Market forces favoring it include rising devtools demand (e.g., vs. competitors like Catchpoint or Palette), iOS/Android complexity, and cost-conscious enterprises seeking 20%+ savings.[1]
It influences the ecosystem by empowering devs at unicorns to build faster apps, indirectly boosting platforms like Snap and Discord while setting standards for AI in mobile observability.[3][4]
Product Science is primed for expansion with its battle-tested platform and top-tier backing, likely targeting more Fortune 500 mobile teams and international markets.[3][4] Trends like edge AI, multimodal apps, and stricter app store rules on performance will amplify demand, potentially driving 10x growth via platform extensions (e.g., web support).[1][5] Its influence could evolve from niche optimizer to category leader, reshaping how mobile teams measure success—starting from that 2021 insight into code-runtime fusion that made apps faster for millions.[3][5]