In an era where generative AI is reshaping software development, TurinTech’s Artemis platform is emerging as a critical force for transforming code from “vibe” to viable. Today, TurinTech announced that global law firm Taylor Wessing, FX risk specialists Deaglo, and financial engineering experts Riskworx have adopted Artemis to validate, optimize, and modernize their code at scale.
These leading companies join the likes of Intel in leveraging Artemis to bridge the gap between code generation and production-readiness—modernizing legacy systems and refining GenAI outputs into scalable, secure, and high-performance solutions.
Artemis: AI-Driven Code You Can Trust
While generative AI has made code creation faster, the challenge lies in ensuring quality, scalability, and security. Artemis, powered by the Artemis Intelligence Engine, addresses this with a comprehensive platform that transforms human-written, legacy, and AI-generated code into production-grade assets.
Key benefits include:
- Validation: Ensures GenAI-generated code meets enterprise standards.
- Optimization: Improves performance and resource utilization.
- Modernization: Converts outdated codebases into current, maintainable solutions.
The result: faster innovation with lower risk and greater confidence in deploying AI-powered software.
Customer Success Stories
Taylor Wessing: Accelerating Legal Tech Development
Mark Barron, Partner at Taylor Wessing, highlighted Artemis’s role in advancing their legal tech solutions:
“Artemis has accelerated the development of our Outpace application and optimized our cloud usage. Its deep code understanding and swift refactoring capabilities have been essential in advancing our legal tech innovation.”
Deaglo: Secure and Scalable FinTech Automation
Ashley Groves, CEO at Deaglo, emphasized Artemis’s value in integrating GenAI securely:
“As we integrate automation and GenAI into our systems, Artemis ensures our code is not just optimized, but also secure and scalable. This gives us the confidence needed to deliver robust global financial solutions effectively.”
Riskworx: Reinventing Legacy Codebases
Paul Robson, CEO at Riskworx, noted Artemis’s agentic approach to legacy modernization:
“We work with leading banks that depend on aging codebases. Artemis allows us to optimize both legacy and acquired codebases with speed and precision that were previously unattainable.”
How Artemis Works: The Intelligence Engine
At the core of Artemis is the Artemis Intelligence Engine, a proprietary orchestration system that applies:
- Engineered Prompts
- Evolutionary Optimization
- Context-Aware Code Analysis
- Validation Agents
This multi-layered architecture enables Artemis to evolve code across multiple languages, tech stacks, and enterprise constraints, delivering real-world performance gains. While Google DeepMind’s AlphaEvolve demonstrates evolutionary code strategies in research, Artemis delivers production-ready results in active enterprise environments.
Executive Insight
“Whether it’s hand-tuned code, inherited systems or GenAI prototypes, Artemis helps teams take whatever they’re working with and turn it into production-grade software—validated, optimized and built to scale,” said Leslie Kanthan, CEO of TurinTech.
About TurinTech
TurinTech specializes in building intelligent systems for code evolution and optimization. Its flagship product, Artemis, helps companies validate and modernize code while ensuring it meets the highest standards of security, efficiency, and maintainability. The platform is used across financial, legal, and retail sectors to reduce risk, boost performance, and support scalable AI transformation.
Trusted by Intel, Taylor Wessing, Deaglo, and Riskworx, TurinTech is helping companies modernize development pipelines and stay ahead in the GenAI-driven economy.
As organizations grapple with an explosion of generative code, TurinTech’s Artemis platform delivers a critical edge—turning unstructured or legacy code into production-ready solutions. With trusted adoption across financial and legal sectors, Artemis proves that AI-led optimization is not just theoretical—it’s practical, scalable, and here to stay.
