Speed Up Code. Cut Costs. Scale Faster.
As software systems grow, code inefficiencies slow down runtime and increase costs. Traditional optimization methods are slow, manual, and struggle to keep up with evolving codebases. Artemis is designed to optimize code at scale, providing faster performance and reducing costs without sacrificing quality.
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The Impact of Inefficient Code
Performance
Slower applications lead to a poor user experience and delayed execution times
Costs
Increased compute resource consumption directly raises cloud and operational expenses
Scalability
Inefficient code hinders the ability to scale applications smoothly and effectively
How Artemis Improved QuantLib Runtime by 32.72%
32.72% faster runtime
In minutes instead of weeks
Cut compute costs
and eliminated redundant AI-generated inefficiencies.
Validated AI outputs
For security, performance, and compliance
Analyze Code
Artemis used LLMs, static analysis, and profilers l to detect performance bottlenecks in just 2 minutes
Intelligent Code Recommendations
Powered by the Intelligence Engine—a combination of multi-agent systems, optimization algorithms, and LLMs—Artemis generated and scored 100+ code recommendations ensuring only the best optimizations are applied
Optimize
Artemis AI evaluated 700+ optimization options, selecting the most effective changes with detailed runtime, CPU, and memory metrics
Get Started
Improve Performance, Reduce Costs, and Scale Faster
