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.
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.
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.
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.
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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.