Anthropic’s Mythos disruption shows how quickly frontier cyber AI can be pulled between national security controls, commercial demand and weak regulation, leaving allies such as Australia exposed to a market shaped less by clear rules than by sudden intervention.
DeepMind announced DiffusionGemma, promising up to 4x faster text generation, and a $10M fund to accelerate multi-agent AI safety research. These moves pair capability gains with investments in governance.
Anthropic’s Fable 5 briefly gave Australia a rare look at Mythos-class cyber AI in action. Then US export controls shut access down, raising a harder question: if the model is too dangerous to leave America, are allies left safer, or simply more exposed?
Spur, an AI driven startup, has raised $4.5 million to automate website testing. Users type commands like “add to cart” or “apply for a job,” and Spur’s agent simulates the action, detects bugs and gives instant feedback, making quality checks faster and easier for development teams.
Two bold AI startups are making waves. One defies tradition while the other rewrites the rules. Cluely, created by a suspended Columbia student, challenges hiring norms. Spur, founded by Yale graduates, simplifies website testing. Both raised millions, proving that disruption still attracts serious backing.
Two Yale graduates, Sneha Sivakumar and Anushka Nijhawan, have secured $4.5 million in seed funding for their startup, Spur, which aims to transform how websites are tested for bugs. The round was led by Liz Wessel of First Round Capital, with participation from Pear VC, Neo, Conviction, and angel investors from Figma, Dropbox, and Rippling.
The announcement was shared on X with a snapshot of Spur's funding details and investor lineup:
We're excited to share that @spurtest_ has raised $4.5M, led by @firstround to allow teams to own high quality testing
— Spur (@spurtest_) April 17, 2025
We've partnered with some of the most customer centric companies like @wander @ycombinator @LivingSpaces @flynorse to deliver the best user experiences pic.twitter.com/1onAGfSgiw
Founded in 2024, Spur allows users to run software tests using everyday language. For example, users can instruct the system to “add a product to the cart” or “submit a job application,” and Spur’s agent will test those website functions automatically, offering feedback or debugging support.
“A lot of the other agents were not advanced enough,” said Sivakumar. “We were at the bleeding edge of what we were doing.”
The idea was born out of their final year at Yale, blending Sivakumar’s experience with manual QA at Figma and Nijhawan’s work on AI agents at DeepMind. They created a synthetic user capable of mimicking how people interact with websites—without the need for engineers to manually conduct time-consuming quality checks.
“We still use the original agent and computer we built in college,” Sivakumar added.
Spur recently shared a behind-the-scenes look at their tool in action, highlighting how it helps customers catch bugs before they reach end users:
We're excited to share that @spurtest_ has raised $4.5M, led by @firstround to allow teams to own high quality testing
— Spur (@spurtest_) April 17, 2025
We've partnered with some of the most customer centric companies like @wander @ycombinato @LivingSpaces @flynorse to deliver the best user experiences pic.twitter.com/gZLHK4ulp8
Spur joined Y Combinator’s Summer 2024 batch and has since gained traction within the startup community. Notably, Y Combinator itself is now a client.
The founders credit their success to a combination of technical skill and strong networking.
“It is all about putting yourself out there,” Sivakumar said. She also emphasized the importance of co-founding with someone you trust. “Doing this as a solo founder would have been very difficult.”
With growing interest in AI-driven automation, Spur is positioning itself as a practical solution for scaling software testing—offering developers faster and more efficient tools to catch bugs before users do.
Cyera’s reported $300 million raise at a $12 billion valuation shows how quickly enterprise data security is being repriced as AI adoption accelerates. The figures should be framed carefully, because Cyera has disputed the reported numbers.
Cognition has raised $1B at a $26B valuation, led by Lux Capital, General Catalyst, and 8VC. Its autonomous AI engineer Devin now writes 89% of the company's own code and is deployed at Mercedes-Benz, Goldman Sachs, the U.S. Navy, and Itaú.
DeepSeek is in talks to raise $10B at a $45B valuation — the largest first-time fundraise by a Chinese tech startup. Founder Liang Wenfeng is focused on AGI, not short-term profit, as sovereign backers rush to fund China's open-source AI champion.
The AI gold rush is shifting from dazzling tools to industrial infrastructure. As inference becomes the engine room of finance, cyber security and enterprise decision-making, the real winners will be those that make intelligence fast, reliable, scalable and affordable, not merely impressive
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