Optimise Your Code Performance with Artemis
Artemis Capabilities
Experience the GenAI era of code optimisation
Boost Your Code Performance with 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 optimisation techniques to optimise code for faster execution, reduced compute usage, and lower carbon emissions.
- Custom optimisation metrics
- Private optimisation model on-premise
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.
32.72% Faster Runtime Acceleration for the QuantLib C++ Library
Our team leveraged Artemis AI to optimise QuantLib, a crucial open-source library for quantitative finance extensively used by banks and hedge funds for modelling, trading, and risk management. Our successful pull request has been integrated, enhancing a library that underpins 374 other code repositories, including high-profile projects like Amazon Web Services EC2 Spot Workshops. This optimisation translates into faster pricing and risk calculations for financial firms, enabling quicker, more profitable decisions.
- 32.72% improvement in runtime speed with just one code change
- Quicker analysis and responsiveness to financial market changes
- Substantial cloud cost savings and reduced carbon emissions
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.