TurinTech FAQ
Artemis is an AI engineering platform that improves any codebase — modern, legacy, or AI-generated. It reduces technical debt, uncovers bugs and inefficiencies, stabilizes unreliable AI output, and cuts down on cleanup and review cycles that slow teams down. Acting as an intelligence layer above the models, Artemis provides the structure and control needed to keep AI on track so work stays aligned with the intended outcome. It handles everything from simple fixes to deep optimization, improving performance, strengthening code quality, and lowering cloud cost through more efficient software. By offloading manual work and validating every result, Artemis turns the code you have into the code you need.
The Developer Preview is an early access release of the core Artemis workflow. It lets developers try our plan-first experience — including Discovery and Planning, structured Tasks, sandboxed ChangeSets, and repo Scanning — while we continue building out the rest of the platform.
You can join our waitlist. We are rolling out access in waves to ensure a stable experience for everyone. Keep an eye on your inbox—once your spot opens up, you will receive an email with your login details and your starting credit allowance.
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.
Artemis uses a curated set of leading models, including Claude Sonnet 4.5, Gemini 3.0, and GPT 5.0. You can select a model manually or use Auto Mode. In Auto Mode, Artemis analyzes the task size, complexity, and context requirements to pick the model that offers the best balance of speed, cost, and accuracy (e.g., using top-tier models for complex refactors and faster models for simple scans).
Starting bonus: You currently receive an initial $100 in credits when you sign up.
Daily top-up: When your balance drops below $10, we currently top it up to $10 once per day. This is intended to keep you moving without interruptions.
How consumption works: Credits are used based on model tier and task complexity. For most scans, plans, and fix workflows, the allowance is more than enough. Only very large or model-intensive tasks, like scanning very large repos with frontier models, will consume credits more quickly.
As the Developer Preview evolves, we may adjust credit amounts or policies, but we’ll communicate any changes clearly and in advance.
Artemis pricing depends on usage, deployment model, and enterprise needs. Contact us for a customized pricing plan tailored to your business.
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
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.
