Optimise Your Code Performance with Artemis
Artemis uses Large Language Models (LLMs) to improve code optimization and generation by identifying inefficiencies and benchmarking optimal changes.





Cutting-edge solution
AI Code Optimisation
Artemis uses advanced algorithms to identify critical issues within your codebase, providing actionable recommendations for optimizing code performance. By proposing enhanced code versions, it not only accelerates execution time but also significantly reduces memory usage and minimizes energy consumption, ensuring a more efficient and eco-friendly software environment.
Boost Your Code Performance at Ease
Artemis assists developers in identifying inefficient code throughout entire codebases and provides recommendations for optimal changes to enhance performance. It leverages LLMs and proprietary ML-based optimization techniques to optimize code for faster execution, reduced compute usage, and lower carbon emissions.
- Powerful Campaign Tracking and ROI Analysis
- Customizable Reporting and Data Exportation





Sit back as I analyse your code …

65 code optimised changes found!

The suggested optimised version increases CPU performance by 33% and throughput by 41%.

Ship Your Code to Production Faster
Artemis automates the iterative and tedious performance optimisation process, freeing developers to focus on new features and getting products to market faster.
Flexible
Artemis works on any code languages, IDEs, and LLMs of your choice.
Scalable
Artemis seamlessly scales as codebases and teams grow over time.
Reduced Compute Costs, Improved Sustainability
Artemis optimises code to reduce compute costs and technical debt, while improving cleanliness and efficiency. Efficient code also helps minimise carbon emissions, aligning with your sustainability goals.


Boost Application's Efficiency
Artemis detects code inefficiencies and suggests solutions to boost application speed and cut computational costs.


GenAI-powered Code Optimisation
Get optimal code alternatives based on your custom performance metrics and hardware specifications.

Code Performance Evaluation
Effortlessly compare performance trade-offs of different code versions on a single screen, allowing you to easily select the best options without the need for manual analysis.



15% Faster Runtime Acceleration for the SHAP Library
Developers harnessed Artemis to optimise the code of SHAP (SHapley Additive exPlanations), a widely-used open-source library that interprets the output of machine learning models. This optimisation yielded a 15% boost in runtime speed, a 30% cut in CPU usage, and a 13% reduction in memory consumption.
- Speed up ML output explanations for quicker insights
- Enhance performance with 292 optimized code versions in minutes
- Save substantial cloud costs by changing just one line of code


Insights
The Future of AI-Powered Coding: Why Code Generation is Not Enough?
Generative AI for Code: what you need to know in 2023
How to Achieve Optimal Performance: Code Optimisation in the AI ecosystem
Why Businesses Should not Overlook the Importance of Machine Learning Model Speed



Schedule a demo with our experienced team!
Our team will guide you through a demo of how you can boost application speed and cut computational costs.