Seattle-based TestSprite said a host of investors have agreed to allocate a total of $1.5 million in pre-seed funding to roll out an autonomous artificial intelligence-powered software testing platform.
Techstars, Jinqiu Capital, MiraclePlus, Hat-trick Capital, EdgeCase Capital Partners and angel investor Rafael Barroso all joined the capital allocation, with additional investment coming from the company’s founding team, bringing the total raised so far at $1.7 million.
The fresh funding comes on the heels of TestSprite introducing an early access beta program for its forthcoming end-to-end QA tool as the startup said it soon plans to bring the young platform to the market.
Once live, it should provide a set of AI-powered quality assurance tools that automate the process of testing back-end and front-end systems “with minimal input from developers by using the full context of code, services, documents and custom instructions,” as the company put it.
“Our platform aims to free individual developers and small teams from the tedium of traditional QA and the need to use current AI copilots for testing,” explained the firm, which was only set up at the beginning of this year.
It stressed that modern AI testing tools require manual inputs and back-and-forth, which creates time-consuming interventions to reach a satisfactory conclusion.
“As AI-generated code becomes more complex, our vision is to let AI test AI, allowing developers to focus on innovation while maintaining software quality,” stressed co-founder and chief executive Yunhao Jiao.
“AI is developing faster than we ever imagined. As its capabilities expand, so does the need for robust validation. Relying on AI-generated results without proper validation can introduce significant risks,” Jiao said.
“Our vision is to let AI test AI, allowing developers to focus on innovation.”
– Yunhao Jiao
The former Amazon software engineer claimed that the company’s software tools “learn everything possible” about the context available from a user or team’s software up front to do most of the work.
“It can scan objects, inspect software and interpret documentation. The AI then uses that framework to draft test plans in natural language for review before test code generation,” Jiao explained.
“This allows humans to remain in the look should test engineers want to change anything before testing proceeds.”
He added: “With this funding, we’re excited to ready our autonomous testing tool. As AI-generated code becomes more complex, our vision is to let AI test AI, allowing developers to focus on innovation while maintaining software quality.”
During the test phase, the AI can interpret failures and assist with debugging root causes to provide recommendations based on understanding software code and documentation, he continued.
One investor, New York City-based Andres Barreto, managing director at Techstars, said his rationale to invest in the company is because “automated testing is becoming more crucial as AI-assisted software development rapidly becomes the de-facto way of building software in a market that is pushing for faster, more efficient software delivery from software engineers.”
Moreover, he referred to a report from market analyst firm MarketsAndMarkets Research, which found that the global automation software testing market was estimated to be worth around $28 billion last year.
Perhaps more importantly, it is projected to reach $55 billion by 2028.
“It is driven by the need for better user experience and usability after software is launched and security concerns,” Barreto said.
“The rise of AI and machine learning algorithms in automation is becoming a powerful aid for testing teams to overcome the tedium of manual testing by bringing greater adaptability to the industry,” he noted.
The funding announcement comes shortly after the company released its testing platform into an early access beta program.
UPCOMING EVENTS
QA FINANCIAL FORUM LONDON: RECAP
Last month, on September 11, QA Financial held the London conference of the QA Financial Forum, a global series of conference and networking meetings for software risk managers.
The agenda was designed to meet the needs of software testers working for banks and other financial firms working in regulated, complex markets.
Please check our special post-conference flipbook by clicking here.
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