TurinTech Launches Revolutionary AI Platform, Raising $20 Million
In a move that could reshape the future of software development, U.K.-based startup TurinTech is launching its Artemis product, an “evolutionary AI” platform designed to optimize and validate enterprise codebases. This announcement coincides with the company’s news that it has raised a total of $20 million in funding.
The launch of Artemis comes at a time when “vibe coding,” a term coined by computer scientist Andrej Karpathy to describe a hands-off approach to code generation using large language model (LLM) driven tools, is rapidly gaining traction. However, TurinTech’s founders believe that while these methods offer speed, they may come at the expense of code quality and security.
“As you generate a lot of code, you’re generating a lot of inefficiencies,” explained Dr. Leslie Kanthan, CEO of TurinTech. “We use Artemis to find all the inefficiencies in the code that’s been generated, make it faster, and use fewer resources.”
Co-founded by Dr. Leslie Kanthan, Mike Basios (CTO), and Fan Wu (chief science officer), TurinTech’s Artemis stands apart from other code generation AI tools. While some tools rely solely on LLMs for basic code generation and optimization, Artemis aims to refine, validate, and evolve code, improving performance, security, and scalability.
Kanthan further clarified: “For example, GitHub copilot will predict what code you’re going to write, but it doesn’t actually check your code and nor does Cursor. The traditional way of checking code is basically using small tools that work with a compiler that reviews your code for corrections.”
TurinTech’s innovative approach is rooted in Kanthan’s 2018 research paper which outlined his Darwinian approach to data structure selection, forming the basis of the Artemis product. The company closed a $15 million Series A round led by Oxford Capital, seven months before the official launch, along with a previous seed funding round of $5 million.
Evidence suggests that TurinTech already has some major blue-chip players and banks in its early adopter program. The full release of the platform is expected before the end of the year.
The rise of AI in software development is undeniable. Gartner projects that by 2028, 75% of enterprise software engineers will use AI code assistants – a significant increase from less than 10% in early 2023. A Stack Overflow survey also found that 63% of developers are already using AI in their workflows.
