Autify Secures $13Million Series B Funding and Launches Zenes, an Autonomous AI for Software QA

Autify, an AI platform for quality engineering,announced that it has completed a Series B funding round of $13 million and released a beta version of Zenes, an autonomous AI agent for software quality assurance.

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Leading the round are Globis Capital Partners, a leading venture capital fund based in Tokyo, Japan, and LG Technology Ventures, the Silicon Valley-based venture capital arm of LG Group, which focuses on AI, enterprise software, and energy transformation. Autify, leveraging the recent round of funding plans to expand into the Korean market and strengthen its collaboration with LG CNS, making Korea a key market of focus alongside existing core markets such as the US and Japan.

Existing investors WiL (World Innovation Lab), Salesforce Ventures, Archetype Ventures, and Uncorrelated Ventures also participated in the round.

Autify is a platform that supercharges developer and QA teams and optimizes the software quality engineering process. The company aims to enhance people’s creativity through AI and technology. Since its inception in 2016, the company has gained a number of global enterprise customers in the B2C and B2B verticals, including DeNA, NEC, NTT Smart Communication, Yahoo, ZOZO, and Q4.

With this recent round of funding, Autify plans to expand its capabilities to support code-based test automation and build a comprehensive Generative AI-powered quality engineering platform featuring its newest product, Zenes.

Supercharging Quality Engineering with Zenes

Zenes is an autonomous AI agent for software quality assurance — in effect, an AI QA engineer working for you. It generates test cases by analyzing product requirement documents, writes automated test codes, and maintains the test codes automatically.

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Autify has applied Zenes to its own QA process, successfully reducing the time spent creating test cases by 55%.

How it works:

After users upload their product requirement document in any file format (.html, .pdf, .docx, .md, etc.), Zenes will generate a group of outlined test cases covering the product specs. Users can then edit these test cases to increase the accuracy of subsequent steps.

After any edits have been made Zenes then generates automated test codes, e.g. the test case steps in Gherkin format. Users can use generative AI-powered code completion within the product to edit this Gherkin output.

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