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Mozark
AI-native synthetic testing and digital experience monitoring.
About Mozark
Mozark is a Singapore-headquartered company specializing in AI-native digital experience testing and measurement. Founded in 2019 by Kartik Raja, Fabien Renaudineau, and Chandrasekar Ramamoorthy, the company provides a platform that helps organizations measure and improve digital service performance under real-world conditions. The founders serve as Co-CEOs (Raja and Renaudineau) and Chief Product Officer (Ramamoorthy). Raja has a background spanning over two decades in technology and entrepreneurship, having previously founded PhiMetrics Technologies and RedPill Solutions. He holds an MBA from The University of Chicago Booth School of Business and an MS in Computer Science from The University of Texas at Dallas.
Mozark's business model is centered on providing its testing and monitoring platform to enterprise and public-sector clients, including regulators, telecommunications providers, and financial institutions. The company serves over 50 clients across more than 20 countries. Its platform is designed to identify performance issues across the entire technology stack—from applications and AI systems to underlying infrastructure like data centers and networks—before they affect end-users. This is achieved by running automated, scripted tests that simulate critical user journeys on real devices connected to live networks, generating synthetic telemetry without collecting personal user data. This approach is particularly relevant in emerging markets where inconsistent digital performance can impact access to essential services.
The company's core offering is an AI-native platform for synthetic testing and automation, enabling clients to monitor web, mobile, and TV applications. It focuses on an "action-first" approach, aiming to proactively detect and resolve issues. Key features include AI-assisted test case authoring, real device cloud testing, and agentic workflows. Mozark's technology is described as "sovereignty-ready," meaning it can be deployed in compliance with local data governance rules. The platform aims to address a critical bottleneck in the DevOps lifecycle where testing on physical infrastructure has constrained the speed of software development. By March 2026, the company had executed over 25 million tests on thousands of live devices.
Mozark has secured significant funding to fuel its global expansion and potential strategic acquisitions. In March 2026, the company announced a $40 million Series B funding round led by the International Finance Corporation (IFC) and RMB Capitalworks, with continued participation from existing investor Kalaari Capital. This funding is intended to support expansion into key markets like the United States and the Global South, as well as to enhance its testing capabilities across the AI-native digital stack.
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Funding history
Company financing events and reported valuations.
| Deal type | Date | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| SERIES B✓Equity / VC | Mar 2026 | $40M | $160M | International Finance Corporation · Kalaari Capital · RMB Capitalworks | ↗ |
| DEBT✓Debt | Feb 2026 | $0 | — | International Finance Corporation | ↗ |
Financials
Revenue, earnings and other financial measures where available. Years marked “E” are estimates.
Growth signals
Latest recorded traffic for Mozark is 8K monthly website visits, down 20% over the last three months. Mozark's team grew 7.6% over the past year.
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Investments and acquisitions
Recent portfolio relationships for companies that also act as investors or acquirers.
Investors
From Dealroom's funding and investor records, grouped by the round each investor first entered.
Seed1 investor entered at this stage
Kalaari Capital
Series A1 investor entered at this stage
RMB Capitalworks
Series B and later2 investors entered at this stage
Blacksoil
International Finance Corporation
Other known investors1 additional known investor
Google for Startups Accelerator
Source: Dealroom Talent Intelligence.
Global footprint
team presence
Market sentiment
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