Mozark

Mozark drives 25M+ AI-driven digital experience tests on Google Cloud

Results on Google Cloud
  • Cuts test initialization down to <40s through Google Kubernetes Engine (GKE)

  • Slashes regression cycles from hours to minutes through GKE

  • Enables a lean team of less than three engineers to orchestrate 1,000+ devices with 99.9% uptime

  • Continuously monitors network QoE with Cloud SQL and Pub/Sub

Mozark leverages Google Cloud to scale 25M+ AI-driven tests across 1,000+ real devices with 99.9% uptime.

A group of Mozark colleagues sitting and standing together indoors for a team photo, smiling in a modern office space

Moving beyond physical device labs to unify
digital experience testing

Founded in 2019, Mozark is a digital experience measurement platform that unifies app testing (AppX), network quality measurement (NetworkX), and competitive benchmarking (Digital X). The platform provides enterprise, telecom, and government clients across APAC and the Middle East with a single view of end-user digital performance.

Before Mozark, evaluating digital application quality required physical device labs: geographically fixed, expensive, and difficult to maintain. For enterprise teams and telecommunications operators, validating app behavior across diverse smartphones and local carrier networks meant deploying physical hardware directly on the ground in every target market.

Our whole thesis is that testing shouldn’t just reveal failure; it must explain why and fix itself natively. Google Cloud gives us the managed infrastructure and AI capabilities to run millions of end-to-end device tests seamlessly on a single, sovereignty-ready platform.

Gargi Dasgupta

Chief Technology Officer, Mozark

Additionally, testing remained fragmented: engineering, network, and quality assurance (QA) teams measured performance in isolated silos using disconnected tools.

As application usage grew, manual failure analysis created an operational bottleneck, forcing engineers to spend hours sifting through raw session recordings and device logs to diagnose root causes. Clients in regulated financial services, telecommunications, and government sectors faced strict data residency and privacy mandates that off-the-shelf testing tools could not satisfy.

To process millions of streaming telemetry points without building a custom database layer, Mozark selected Google Cloud primarily as it offers managed data infrastructure, native generative AI building blocks, and regional data sovereignty capabilities required to support Mozark’s platform.

Architecture diagram for GKE saas-prod environment

Using elastic GKE clusters, Gemini, and managed databases for testing at scale

My direction to the team is simple: if it’s managed, we won’t manage it. With Google Cloud handling our infrastructure, a team of less than three people easily manages 25 million tests while we focus entirely on delivering customer innovation.

Gargi Dasgupta

Chief Technology Officer, Mozark

Mozark built its digital experience assurance platform on Google Cloud. Using Google Kubernetes Engine (GKE) with horizontal pod autoscaling, Mozark orchestrates concurrent test sessions across a physical cloud of 1,000+ real iOS, Android, and OTT devices at 99.9% availability. By co-locating edge points of presence near Google Cloud endpoints, setup time dropped to under 40 seconds, while regression cycles fell from hours to minutes for clients like PhonePe, Google Pay, and JioHotstar.

Mozark embeds Gemini platform and Gemini multimodal models into its AI workspace to convert designs, voice inputs, and text into test scripts while updating broken scripts automatically when UIs change.

For network intelligence, Cloud SQL, Managed MongoDB, and Pub/Sub stream live telemetry across 100+ carrier networks in 30+ countries, rendered into heat maps through Google Maps Platform. Telemetry is scrubbed of sensitive markers with Presidio before entering Cloud Storage, where tiering maintains video proofs used in SAP cloud migrations. Looker formats competitive benchmarks, while Google Cloud Armor and Cloud Run support secure, multi-tenant execution.

Relying on managed services eliminated database administration overhead, enabling a team of 2.5 engineers to manage an infrastructure that has executed over 25 million tests across 20 countries. This operational efficiency allowed Mozark to focus on developing agentic governance workflows, validating autonomous agent-to-agent interactions for regulated financial institutions.

Supported by a three-year enterprise agreement and Google Cloud Marketplace listing, Mozark is looking to expand its SaaS and private VPC appliance deployment models. With a managed, sovereignty-ready cloud foundation handling complex telemetry and compliance requirements, Mozark is positioned to scale its digital experience measurement platform across new global markets.

Mozark is a digital experience measurement platform that provides integrated app, network, and competitive benchmarking assurance across APAC, the Middle East, and global markets.

Industry: Technology

Location: India

Products: Google Kubernetes Engine (GKE), Gemini platform, Gemini, Cloud SQL, Cloud Storage, Looker, Google Cloud Armor, Cloud Run, Pub/Sub, Google Maps Platform

Google Cloud