TurinTech FAQ
Artemis is a GenAI-powered code optimization platform built on the proprietary TurinTech GenAI Intelligence Engine™. It orchestrates multiple agents, optimization algorithms, and LLMs to deliver highly optimized, production-quality code. Artemis enhances code quality, reduces technical debt, accelerates performance, and minimizes environmental impact. Learn more.
evoML is an AI optimization platform that automates the entire machine learning pipeline, from data cleaning and feature engineering to model training and deployment. It enables businesses to build high-performing ML models efficiently, optimizing speed and memory usage to match specific hardware configurations. Learn more.
Unlike code generation tools, Artemis goes beyond simply generating code. It provides critical review, validation, and optimization of AI-generated and existing codebases. Artemis also integrates with multiple LLMs for comprehensive refinement and validation, making it ideal for enterprises requiring high standards in code quality, security, and scalability. In contrast, tools like Copilot primarily focus on generating functional code but lack built-in validation or optimization capabilities.
Yes, Artemis is LLM-agnostic and can work with code generated by tools like Copilot, Cursor, and others. It optimizes and validates code generated by these tools to ensure it meets enterprise-level performance, scalability, and security standards.
TurinTech redefines AI-powered software and data optimization with its flagship products, Artemis and evoML. These tools empower businesses to operate faster, greener, and more efficiently by automating code optimization and machine learning development. Learn more.
While we cannot disclose specific customer names, Artemis and evoML are used by companies across finance, technology, and other data-intensive sectors for optimizing legacy code, enhancing application performance, and automating data workflows.
Artemis pricing depends on usage, deployment model, and enterprise needs. Contact us for a customized pricing plan tailored to your business.
The TurinTech GenAI Intelligence Engine™ is the core technology that powers Artemis. It orchestrates AI agents, optimization algorithms, LLMs, and advanced context management to analyze, optimize, and validate code. Additionally, it acts as a collaborative interface that enables seamless interaction between various components, fostering effective teamwork across AI agents and processes. This allows the Intelligence Engine to dynamically adapt to project requirements, enabling smarter decisions and consistent delivery of high-quality code. Learn more.
TurinTech is a privately held company with ongoing support from strategic investors. While we are not disclosing specific funding details, our sustained growth and partnerships with industry leaders reflect strong market traction and support.
Artemis automatically scans entire codebases, identifies inefficiencies, and applies optimized code changes through advanced algorithms. This reduces latency, lowers computing costs, and enhances scalability, improving overall system performance.
Yes, Artemis integrates seamlessly with popular code repositories (e.g., GitHub, GitLab, Bitbucket) and tools like Copilot. It fits within CI/CD pipelines and DevOps workflows to provide continuous optimization and validation.
Customers interested in evaluating Artemis can contact us to set up a trial or proof of concept to assess how it can address their unique requirements. sign up for a demo
The GenAI Intelligence Engine™ powers Artemis by orchestrating AI agents, genetic algorithms, and contextual optimization. It continuously analyzes, optimizes, and validates code, ensuring it is fully tested, benchmarked, and production-ready.
While GitHub Copilot generates code, Artemis AI focuses on optimizing existing codebases for performance, scalability, and security. Using its Intelligence Engine and advanced algorithms, Artemis ensures that your code runs faster, is more efficient, and meets enterprise-grade standards. Learn more.
- Modernizing legacy code.
- Real-time performance optimization.
- Enhancing energy efficiency and reducing costs.
- Validating and improving AI-generated code.
- Comprehensive project-wide and targeted optimization using advanced algorithms. Learn more.
Contact our team for a personalized demo or explore detailed documentation and resources available online.
Artemis and evoML are used by enterprises in finance, enterprise software, telecom, energy, and AI-driven startups that need to modernize legacy systems, improve AI-generated code, and optimize performance at scale.
Artemis is the interface between the user and the TurinTech GenAI Intelligence Engine™. It acts as the user's primary agent, enabling collaboration and interaction across the engine’s capabilities. Artemis manages the communication between the user and the Intelligence Engine, leveraging its agents, algorithms, and tools to deliver seamless optimization and validation processes. Essentially, Artemis is designed to streamline and manage the interaction and processes of the Intelligence Engine to meet the user’s project needs. Learn more.
Artemis tackles key challenges in software development, including:
- AI-generated code inefficiencies (refining and optimizing raw AI outputs)
- Technical debt reduction (modernizing legacy codebases)
- Performance bottlenecks (enhancing execution speed and resource efficiency)
- Security & scalability (validating and optimizing code for enterprise needs)
Yes. Artemis seamlessly integrates with CI/CD pipelines, DevOps tools, and enterprise engineering workflows. It works alongside popular profilers, security tools, and LLM-based coding solutions to enhance software development processes.
evoML automates the entire data science workflow, including data cleaning, feature generation, model building, and deployment. It offers flexible deployment options, such as code-based, API-based, and database integration, allowing seamless integration into existing systems. Learn more.
- Automates the end-to-end machine learning pipeline, reducing time to production.
- Generates production-ready ML model code, allowing data scientists to focus on innovation.
- Optimizes model speed and memory usage for target hardware, decreasing deployment costs.
Many other use cases. Explore more use cases.
Artemis AI is ideal for developers, IT decision-makers, CIOs, and DevOps professionals seeking to enhance code performance, reduce computational costs, and align with sustainability objectives. Learn more.
evoML is designed for data scientists, business analysts, and CIOs aiming to accelerate machine learning development, deploy efficient models, and reduce time to production. Learn more.
Yes! We welcome partnerships with universities, research institutions, and other organizations exploring AI-driven code and data optimization. If you're interested in collaborating, please contact us.
- Automating feature engineering for AI/ML models.
- Optimizing large-scale data pipelines.
- Accelerating predictive model development for business decision-making. Learn more.
