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Figure Heloc TestMachine Raises $6.5M to Scale AI-Powered Blockchain Security as Demand Accelerates
Ryan Moore 
TestMachine is stepping on the gas as blockchain security becomes harder and more important than ever. The AI-driven security company announced it has secured over $6.5 million in fresh venture funding to expand its flagship platform, Predator, which is already being used to protect billions of dollars in digital assets across the crypto ecosystem.
The round was led by Blockchange Ventures, Decasonic, Delphi Ventures, and New Form Capital, with participation from Baboon, UDHC, Auros Global, Generative Ventures, Contango Digital, and angel investor Santiago Santos. The new capital will go toward expanding Predator’s high-fidelity attack simulations and pushing the platform deeper into exchanges, DeFi protocols, custodians, and trading firms worldwide.
From Niche Tool to Industry Backbone
TestMachine isn’t pitching a future product it’s already embedded into real production workflows. Predator is fully integrated into Coinbase’s token security and deployment process, where it scans millions of tokens daily across multiple risk dimensions. Instead of relying on slow, manual reviews, Predator analyzes assets in seconds, flagging risks faster and more consistently than human-led processes.
That level of automation is becoming essential as token launches and on-chain activity continue to accelerate. Manual audits simply can’t keep up with the scale or complexity of today’s blockchain environment.
A Coinbase blockchain security engineer described why Predator stood out during internal testing, noting that it achieved 100% accuracy with no false positives or negatives and even caught mistakes missed during human reviews.
Why AI Is Becoming Non-Negotiable in Web3 Security
According to TestMachine CEO Dr. Matthew J. Lewis, the industry has reached a tipping point. “As blockchain networks and decentralized finance continue to expand, the complexity and volume of transactions make it increasingly difficult to detect vulnerabilities manually,” he said. “Our goal is to give investors, developers, and exchanges tools that identify and mitigate risks before they turn into real losses.”
What makes Predator different is that it doesn’t treat security as a one-time event. Instead of static audits, the platform runs continuous simulations that mimic real-world attacks. It evaluates everything from smart contract bugs to economic exploits and suspicious behavioral patterns that often precede rug pulls.
Proven at Scale, Not Just on Paper
TestMachine says Predator is currently monitoring more than one million tokens in real time. From a validation set of 11,000 tokens, the platform correctly identified 100% of rug pulls, representing more than $120 million in at-risk value. That kind of performance has made it increasingly attractive to large platforms that need proactive defenses rather than reactive fixes.
With this funding, TestMachine plans to expand Predator’s simulation depth and make the platform even harder to outpace as attackers become more sophisticated. The focus is on staying ahead of threats instead of responding after damage has already been done.
What Comes Next for TestMachine
Founded in 2021, TestMachine was built around a simple idea: blockchain security should be continuous, automated, and measurable. As Web3 infrastructure grows more complex, the company is positioning Predator as a core security layer rather than an optional add-on.
With strong investor backing, deep exchange integrations, and a growing footprint across DeFi and institutional crypto, TestMachine is betting that AI-driven security will soon be table stakes for anyone operating at scale.
For more information about TestMachine and its Predator platform, users can visit https://www.testmachine.ai.
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