Recently FundedUSD 100.0KTechnology, Information and Media

NativeBridge Secures $100K

NativeBridge (Formerly Autoflow)

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NativeBridge, formerly known as Autoflow, has secured $100,000 in funding from investors.

The company operates a cloud-based test orchestration platform designed to bridge the gap between innovation and execution for developers, QA teams, and enterprises.

NativeBridge empowers users to test seamlessly across a wide array of real devices, browsers, and environments, all within a cloud infrastructure.

Its solution allows teams to run automated tests across thousands of real device and operating system combinations, ensuring a flawless user experience for both Android and iOS applications.

The platform integrates with popular CI/CD tools such as Slack, Jira, and GitHub, streamlining development and testing workflows.

NativeBridge also incorporates AI-powered analytics through its AI Assistant, which helps identify flaky tests, performance bottlenecks, and user experience issues.

By providing instant access to real phones in the cloud via a "Magic Link," the company eliminates setup hassles and allows teams to develop, test, and gain approvals without needing physical hardware.

This approach supports effortless scaling with parallel execution and a global infrastructure.

This capital infusion is expected to fuel NativeBridge's strategic growth initiatives.

The company plans to use the funds to further enhance its platform capabilities, expand its market reach, and continue its mission to help teams ship quality code faster.

The investment underscores confidence in NativeBridge's technology and its potential to optimize mobile development and testing workflows for a broad range of users, from individual developers to large enterprises.

Looking ahead, NativeBridge aims to solidify its position as a key enabler for continuous delivery and quality assurance in the software development lifecycle.

The company is focused on empowering teams to build fast, test smart, and ship confidently, driving efficiency and reliability in an increasingly complex digital landscape.

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