Artemis
From the Code You Have
to the Code You Need
Analyze, optimize, and validate codebases at scale, improving performance and efficiency, while reducing costs
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Tackle Technical Debt
Analyze and optimize legacy and orphaned codebases to reduce maintenance costs and improve system efficiency
Hardware Tuned Code
Optimize code to leverage specific compiler and hardware capabilities, maximizing performance for heavy workloads like LLMs across platforms like Intel and NVIDIA
Ensure Enterprise Quality
Evaluate code quality and integrate real-time validation and benchmarking to deliver secure, scalable solutions that meet enterprise standards
Tackle Technical Debt
Analyze and optimize legacy and orphaned codebases to reduce maintenance costs and improve system efficiency
Modernize Legacy Systems
Refactor code for modern architectures or migrate seamlessly to the cloud, minimizing disruption while improving performance
Optimize AI-Generated Code
Transform raw AI outputs into production-ready solutions, addressing the inefficiencies and risks of hallucinations common in LLM-generated code
Improve Runtime Performance
Identify and resolve runtime bottlenecks, optimize memory usage, and enhance application speed while lowering compute costs
Ensure Enterprise Quality
Evaluate code quality and integrate real-time validation and benchmarking to deliver secure, scalable solutions that meet enterprise standards
Hardware Tuned Code
Optimize code to leverage specific compiler and hardware capabilities, maximizing performance for heavy workloads like LLMs across platforms like Intel and NVIDIA
Modernize Legacy Systems
Refactor code for modern architectures or migrate seamlessly to the cloud, minimizing disruption while improving performance
Optimize AI-Generated Code
Transform raw AI outputs into production-ready solutions, addressing the inefficiencies and risks of hallucinations common in LLM-generated code
Improve Runtime Performance
Identify and resolve runtime bottlenecks, optimize memory usage, and enhance application speed while lowering compute costs
How Artemis Works
Combining multi agent collaboration, genetic optimization, and contextual AI, Artemis analyzes, optimizes, and validates code to deliver production-ready results
Analyze
Artemis integrates with your existing repositories and tools, using advanced indexing, scoring and contextual insights to quickly identify opportunities for optimization
Optimize
By leveraging multi-LLM orchestration and genetic algorithms, Artemis generates optimized solutions tailored to your specific business needs
Validate
Real-time validation ensures all optimizations are tested, benchmarked, and production-ready before implementation
Transforming Code into Business Value
Achieve more with the code you already have by reducing costs, driving innovation, and enhancing reliability
Optimize Costs and Resources
Minimize inefficiencies in performance and resource usage to lower operational expenses and reduce energy consumption. Achieve a leaner, greener software ecosystem that aligns with both financial and sustainability goals
Drive Growth and Innovation
Modernize legacy systems and optimize code to support scalability and adapt to future demands. Free your development teams from maintenance tasks, enabling them to focus on creating impactful features and driving business innovation
Enhance Reliability and Delivery
Ensure secure, scalable, and production-ready code with validation and optimization. Streamline SDLC, including code reviews, to accelerate time to market for critical updates and new features
Artemis, Powered by the Intelligence Engine
The Intelligence Engine combines advanced AI technologies—multi-agent systems, optimization algorithms, and LLMs—to deliver a transformative approach to GenAI and code optimization
The Intelligence Engine™
Is the core of Artemis, redefining what’s possible with GenAI platforms. By leveraging the power of LLMs, proprietary optimization algorithms, and advanced AI agents, it goes beyond standard GenAI tools to analyze, optimize, and validate code. This ensures reliable, production-ready results that minimize risks and eliminate the incomplete or incorrect outputs often associated with GenAI. Acting as a collaborative interface, the Intelligence Engine™ transforms raw AI output into measurable business value, giving developers confidence in the accuracy, performance, and scalability of their code
Extensions
A modular framework that integrates Artemis with external tools such as profilers (e.g., VTune, Speedscope) and security tools (e.g., SonarQube). These integrations streamline workflows, improve productivity, and provide flexibility to meet diverse project needs without disrupting existing processes
Agents
Purpose-built AI entities designed to perform specific tasks within software development workflows. These agents combine LLMs, machine learning models, tools, and predefined workflows to make informed decisions, execute tasks autonomously or semi-autonomously, and address complex engineering challenges with precision
Optimization Algorithms
A dynamic suite of algorithms—including genetic optimization, reinforcement learning, and prompt engineering—tailored to enhance code quality, performance, and scalability. These algorithms are intelligently selected by the Intelligence Engine to address challenges ranging from focused code improvements to system-wide architectural refinements
ML models
Specialized machine learning algorithms that enhance agent capabilities through data analysis, pattern recognition, and anomaly detection. These models help agents understand complex patterns and make data-driven decisions. The Intelligence Engine strategically deploys these models within agent workflows to maximize their effectiveness
Evaluation Tool
A comprehensive set of assessment and validation tools designed to ensure high-quality, production-ready code. These tools analyze performance metrics, benchmark results, and evaluate scalability to identify bottlenecks and deliver outputs that align with enterprise standards
Context Management
A sophisticated system that builds and sustains a comprehensive understanding of projects by processing code repositories, user interactions, and execution history. Through advanced indexing, adaptive learning, and context-aware decision-making, it enables agents to provide precise, relevant insights that evolve with each project
LLMs
The Intelligence Engine intelligently orchestrates interactions with single or multiple LLMs, transforming raw outputs into production-ready solutions through advanced prompt engineering and real-time validation. This approach adapts to project-specific requirements, ensuring outputs are fine-tuned for optimal results without compromising on quality or adaptability
Code Execution Environments
Designed to seamlessly align with runtime infrastructures, the Intelligence Engine tailors its optimizations to hardware, performance, and scalability needs. By testing and validating code under real-world conditions, it ensures robust and efficient solutions that meet infrastructure-specific constraints
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Extensions
Agents
Optimization Algorithms
ML model
Evaluation Tools
Context Management
LLMs
Code Execution Environments
The Artemis Advantage
Powered by the GenAI Intelligence Engine, Artemis orchestrates multiple specialized agents to deliver smarter, validated results while protecting your IP. Acting as the lead agent, Artemis helps you evolve from the code you have to the code you need
Human-Agent Collaboration
Artemis orchestrates specialized AI agents based on your actions, working together to solve complex development challenges
Contextual Analysis
Deliver precise optimizations by leveraging insights from codebases, architectures, and documentation for deep understanding of your unique environment
LLM Flexibility
Use any single or combination of LLMs with flexibility, avoiding vendor lock-in and adapting to rapidly evolving AI technologies
Real-Time Validation
Ensure every optimization is tested, benchmarked, and production-ready for enterprise-grade quality and reliability
