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Faster FIX Protocols
Accelerate FIX protocol implementations to improve trading system performance and reduce latency.
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Reduce Carbon Footprint and Lower Data Center Costs
Optimize Resource Efficiency: Artemis reduces energy consumption by optimizing runtime performance and memory usage, minimizing the carbon footprint of software applications. Reduce Cloud Costs: By targeting inefficiencies, Artemis decreases cloud compute expenses and ensures that applications consume fewer resources during execution. Sustainability in Practice: Businesses leveraging Artemis can align their technology operations with environmental sustainability goals, making software development greener.
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Bridging the Gap Between Development and Operations
Support shift-left practices by embedding real-time validation and optimization early in the software development lifecycle (SDLC). Foster collaboration between development and operations teams with clear, actionable insights.
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Enabling Scalable Growth
Prepare software systems for enterprise-grade scalability with tailored code optimizations. Continuously evolve codebases to adapt to new requirements and ensure future readiness.
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Enhancing Developer Productivity
Provide actionable insights and intelligent indexing to simplify navigation through complex codebases. Enable developers to make informed decisions faster with contextual understanding of their projects.
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Supporting Innovation Through Automation
Automate repetitive coding tasks, enabling developers to focus on creating innovative features. Accelerate software delivery with fewer errors and delays.
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Reducing Cloud Costs
Minimize runtime inefficiencies and optimize resource usage to cut cloud compute expenses. Improve scalability without increasing operational overhead.
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Ensuring Enterprise-Grade Quality
Integrate validation and benchmarking to deliver secure, scalable, and tailored solutions. Automate processes to ensure code modifications meet stringent enterprise quality standards.
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Improving Application Performance
Identify runtime inefficiencies, memory usage issues, and CPU bottlenecks. Apply targeted optimizations to improve application speed, reduce compute costs, and ensure reliability.
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TypeScript
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TypeScript
Scala
Rust
R
Python
Perl
MATLAB
Julia
JavaScript
Java
Golang
Fortran
CUDA
COBOL
C++
C#
C
Artemis
evoML
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