Google has unveiled the 15 startups selected for its 2026 Google for Startups Accelerator: Australia and New Zealand program, marking the latest class in a cohort model that has already helped local AI founders raise tens of millions of dollars in follow-on funding. The announcement follows months of open applications and comes amid what Google describes as a significant surge in interest from ambitious founders across both countries, reflecting how deeply artificial intelligence has embedded itself into the region’s startup ecosystem over the past two years.
The program itself sits at the center of Google’s broader Digital Future Initiative, a ten-week, equity-free, hybrid accelerator built specifically for Seed and Series A stage startups using AI and machine learning to tackle genuinely complex, large-scale problems. Unlike accelerators that take an equity stake in exchange for participation, Google’s model provides mentorship, technical resources and access to its own AI tooling without asking founders to give up any ownership in their companies, a structure that has made the program particularly attractive to early-stage teams wary of diluting their cap tables before they’ve established meaningful traction.
Applications for this year’s cohort opened in June and closed in mid-July, with the program itself running from September through November. That timeline places this year’s Australia and New Zealand cohort roughly in step with Google’s broader global rollout of AI-focused accelerator programs, which the company has been steadily expanding across multiple regions throughout 2026, including comparable cohorts in India, North America and, previously, an inaugural AI First program in the United Kingdom that graduated its own class earlier in the year.
What distinguishes the Australia and New Zealand program from a generic mentorship scheme is the track record Google can now point to from previous cohorts. According to the company, its 2024 and 2025 AuNZ cohorts collectively raised more than 58 million US dollars in funding following their participation in the program, a figure that lends genuine credibility to Google’s pitch that the accelerator functions as more than just a networking exercise. Specific graduates have gone on to secure substantial follow-on investment, including Marqo, which integrated Google Kubernetes Engine and launched its product on the Google Cloud Marketplace during its time in the program before going on to close a 12.5 million dollar Series A round. Fetch, a veterinary technology startup, used Google’s Gemini Flash 2.0 model to automate veterinary records and claims processing, later raising 9.44 million dollars after completing the accelerator. Laronix, meanwhile, used Google’s Speech AI Instant Custom Voice technology to clone a patient’s natural voice print from just a ten-second audio sample, helping people who had lost their voice speak again in a version of their own true voice, work that helped the company raise 3.3 million Australian dollars following the program.
Those outcomes illustrate the kind of technically ambitious, deeply applied AI work the accelerator has historically attracted, spanning healthcare, veterinary technology, e-commerce infrastructure and assistive speech technology rather than clustering narrowly around any single vertical. That breadth appears to reflect Google’s stated approach to selection, prioritizing startups genuinely embedding AI and machine learning into their core product or operations rather than companies applying a superficial AI label to an otherwise conventional software business.
The support structure Google offers accepted startups spans several distinct categories. Founders receive hands-on AI mentorship directly from Google’s technical leaders, aimed at helping teams optimize their underlying models and infrastructure rather than simply offering generic startup advice. Participants also gain access to Google’s product and cloud infrastructure tools during an early access phase, giving them a runway to build and scale securely using the same underlying technology stack Google’s own engineering teams rely on. Beyond the technical support, the program connects founders into a trusted peer network spanning Australia and New Zealand, creating space for participants to collaborate and problem-solve alongside other ambitious founders working through similar early-stage growth challenges. Rounding out the offering, Google runs strategic growth masterclasses covering product strategy, technical design, leadership development, marketing and broader operational execution, addressing the non-technical skill gaps that frequently determine whether a technically strong startup actually succeeds commercially.
Kristine Song, who leads the Google for Startups Accelerator program for Australia and New Zealand, has framed the initiative around Australia’s long history of technology innovation, tracing a throughline from the country’s early contributions to global mapping systems through to its current strength across medical technology, climate science and enterprise software. That framing positions the current AI-focused cohort as a continuation of an established national pattern of technical innovation rather than a departure driven purely by the current AI investment boom, a distinction that matters given how much skepticism has occasionally surrounded AI-branded accelerator programs launched hastily in response to market hype rather than genuine organizational commitment.
The broader context behind this announcement fits into Google’s expanding global network of regional AI accelerators, a strategy the company has pursued deliberately as it works to establish itself as a foundational technology partner for AI startups across multiple international markets simultaneously. Comparable 2026 cohorts running in India selected 20 startups from a pool of roughly 2,500 applications, spanning legal tech, healthcare radiology, climate data and agentic finance platforms, while North America’s equivalent program specifically targets AI and machine learning focused pre-seed through Series A companies generating revenue. Running these programs in parallel across multiple regions allows Google to build relationships with a genuinely global pipeline of promising AI startups at a formative stage in their development, well before those companies reach the scale where they might otherwise default to competing cloud providers for infrastructure and partnership arrangements.
For the fifteen startups now entering this year’s Australia and New Zealand cohort, the coming months will likely determine whether they follow the trajectory of previous graduates toward meaningful funding rounds and commercial traction, or whether the accelerator experience proves more valuable as a technical and strategic foundation than an immediate springboard to capital. Given the program’s established track record and the growing sophistication of AI applications emerging from the region, expectations for this year’s class appear reasonably high heading into a Demo Day scheduled for later in the program’s November conclusion.
Full details on the program and this year’s selected startups are available through Google’s official Australia blog. For more coverage of enterprise AI and startup funding, visit Business Tech.
