TestMachine is an artificial intelligence platform that enables real-time developing, testing, and auditing of smart contracts.
Our goal is to ensure crypto projects can find and fix vulnerabilities in their code, bringing velocity and security integrated in a zero configuration environment.
We want a secure blockchain for companies, projects and developers to be able to deploy code without it being hacked.
We want a blockchain community based on the rule of law and we want to make it impossible for hackers and thieves to steal what they do not own by providing AI driven:
Instant access to a suite of industry standard tools for compiling, optimizing, and testing smart contracts in real time.
No library dependencies or painful installations, allowing developers to audit their smart contracts during the development process.
Reinforcement learning algorithms that teach artificially intelligent agents to detect and exploit vulnerabilities in a smart contract.
Andrew Kilbride is an operating executive with twenty years of experience working for venture and private equity backed companies.
Prior to TestMachine, Andrew worked at 4Logik, a low code platform for data engineers, a company backed by Hibbard Road Partners.
Mr. Kilbride was the founder of Foster Bridge Partners, which was sold to Common Sail Investment Group in 2017.
Mr. Kilbride in 2008, was the first investor and operating executive at 94Fifty, a sports technology start up utilizing technology developed at the University of Michigan.
Mr. Kilbride holds an undergraduate degree from the University of Wisconsin-Madison.
Matthew Lewis received his Ph.D. in physics from the University of Michigan for his work describing cosmological models in the context of string theories. After graduating, he worked for eight years in the defense industry, at General Dynamics Advanced Information Systems, focusing on the application of machine learning techniques to defense and intelligence problems, particularly in the realm of electronic warfare. Matthew served as principal investigator for the $20M DARPA Retriever program, as well as many other electronic warfare and machine learning programs for the Navy, NSA, and other U.S. Government agencies. Matthew currently applies machine learning technology to problems such as clean energy and early-stage disease detection. Over the last decade there have been dramatic advances in machine learning and artificial intelligence, and Dr. Lewis has applied his expertise in aerospace, defense, healthcare and environmental use cases.
Prior to joining TestMachine, Oliver was the technical lead of EIA, an non-profit working on environmental crimes around the world. This involves collaborating with global partners, building software systems for EIA campaigns, and investigating the applications of machine learning and data science to environmental problems.I lead the technical direction of EIA, an non-profit working on environmental crimes around the world. This involves collaborating with global partners, building software systems for EIA campaigns, and investigating the applications of machine learning and data science to environmental problems. Mr. Hill was a research fellow at the University of California, Davis where he researched the identification, characterization, generation, and prediction of ecological networks with Dr. Fernanda Valdovinos using theory and applications from chaos theory, complex systems, network analysis, and machine learning. Mr. Hill holds an undergraduate degree in computer science from the University of Michigan and a master degree in machine learning and artificial intelligence from the University of Michigan.
Mr. Boyd is a Diligent Communication Security Specialist with DoD Secret clearance proficient in communication security, research, planning, execution, and maintenance. Adept at training and educating internal users on relevant communication security procedures and preventative measures. Mr. Boyd specializes in network monitoring security software installation and working to prevent cyber attacks especially in business and corporate settings. Prior to joining TestMachine, Cody was the CTO of Fractal Studios, Fractal Studios is a cutting edge blockchain research and development firm for gaming and public ledger systems. Cody lead a global team of developers where he deployed numerous projects including a no code application for smart contracts. Cody is a veteran of the United States Army, and lives and works in Virginia with his family.
He is an accomplished blockchain developer and community leader who has built 4 successful blockchain development bootcamps for companies such as Bloomtech and Pesto Tech. His expertise has earned him invitations to speak at prestigious events such as the Global DeFi conference and The NFT Summit at Tech Circus. He is currently known for running the largest blockchain development community on LinkedIn, demonstrating his commitment to growing and connecting the blockchain industry.
What is TestMachine and what problem does it solve for blockchain developers?
How does TestMachine work?
What benefits does TestMachine offer to blockchain projects?
How does TestMachine ensure the security of blockchain code?