TurinTech AI —Transform the code and data you have into the optimized production ready solutions you need

At TurinTech AI, we envision a future where software development is seamlessly accelerated and optimized through advanced artificial intelligence. Our mission is to transform cumbersome, manual processes in code optimization and machine learning into efficient, automated workflows that empower enterprises to innovate without boundaries.

Driven by breakthrough research and multi-agent AI systems, our platforms like Artemis and EvoML harness the power of genetic algorithms and large language models to revolutionize how legacy systems are modernized, and machine learning models are deployed. We are committed to sculpting a world where AI not only enhances performance but also unlocks new possibilities for developers, data scientists, and organizations globally.

Guided by our founders' academic excellence and real-world experience, TurinTech AI is building a future where technology fuels sustainable growth, operational excellence, and groundbreaking innovation in every sector we serve.

We've been tracking TurinTech AI for a while now, and honestly, they're tackling one of the most unglamorous yet critical problems in software development: making code actually work better. While everyone's chasing the latest AI trends, this London-based team is quietly solving the messy reality of production environments where legacy code slows everything down and ML pipelines break at the worst possible moments.

Founded by UCL researchers who cut their teeth in financial institutions, TurinTech knows firsthand how painful manual code optimization can be. Their origin story rings true — we've all seen talented engineers spending weeks tweaking performance instead of building new features.

What Makes Artemis Stand Out

Their flagship platform, Artemis, isn't just another code analysis tool. It's using multi-agent AI systems and genetic algorithms to actually rewrite and optimize code automatically. We're talking about real performance gains here — they've demonstrated up to 32% runtime reductions in complex applications like QuantLib.

What impressed us most is how Artemis integrates with existing CI/CD workflows. Too many AI tools require you to rebuild your entire development process, but TurinTech seems to understand that enterprises need solutions that fit into their current setup, not replace it entirely.

The Enterprise Reality Check

TurinTech's customer roster tells the real story. When Lloyds Banking Group and Intel are paying for your software, you're solving actual business problems, not just creating impressive demos. Their focus on financial services and AI infrastructure companies makes sense — these are organizations where code performance directly impacts the bottom line.

Their $20 million in funding, including a recent $15 million Series A, shows investors believe in the practical value proposition. This isn't moonshot funding; it's growth capital for a company that's already proving its worth.

Who Should Care

TurinTech is purpose-built for enterprises drowning in technical debt and manual ML workflows. If you're a performance engineer constantly firefighting production issues, or a data scientist spending more time on infrastructure than insights, their tools could be genuinely transformative.

We see particular value for organizations trying to modernize legacy systems without the risk of a complete rewrite. Artemis offers a middle path — gradual optimization that reduces risk while delivering measurable improvements. That's the kind of pragmatic AI application that actually moves businesses forward.