Business Software for C

MotorcycleMaker is a cutting-edge real-time simulation platform designed specifically for the intricate needs of developing and testing motorized two-wheel vehicles, including motorcycles, e-bikes, and scooters. This innovative tool facilitates precise modeling of real-life testing conditions within a virtual realm, thereby enhancing the efficiency of development workflows. By adhering to the principles of automotive systems engineering, MotorcycleMaker allows for virtual test driving that supports the comprehensive development, adjustment, assessment, and validation of complete systems in realistic environments. It provides a robust, real-time vehicle model that enables the creation of virtual prototypes from the early phases of the development cycle. Additionally, users can customize their experience by integrating their own models or hardware components into the simulation. This adaptability ensures that the platform meets a wide range of user needs, making it a versatile choice for developers in the industry.

NVIDIA's DeepStream SDK serves as a robust toolkit for streaming analytics, leveraging GStreamer to facilitate AI-driven processing across various sensors, including video, audio, and image data. It empowers developers to craft intricate stream-processing pipelines that seamlessly integrate neural networks alongside advanced functionalities like tracking, video encoding and decoding, as well as rendering, thereby enabling real-time analysis of diverse data formats. DeepStream plays a crucial role within NVIDIA Metropolis, a comprehensive platform aimed at converting pixel and sensor information into practical insights. This SDK presents a versatile and dynamic environment catered to multiple sectors, offering support for an array of programming languages such as C/C++, Python, and an easy-to-use UI through Graph Composer. By enabling real-time comprehension of complex, multi-modal sensor information at the edge, it enhances operational efficiency while also providing managed AI services that can be deployed in cloud-native containers managed by Kubernetes. As industries increasingly rely on AI for decision-making, DeepStream's capabilities become even more vital in unlocking the value embedded within sensor data.

Mistral Code is a cutting-edge AI coding assistant tailored for enterprise software engineering teams that need frontier-grade AI capabilities combined with security, compliance, and full IT control. Building on the proven open-source Continue project, Mistral Code delivers a vertically integrated solution that includes state-of-the-art models like Codestral, Codestral Embed, Devstral, and Mistral Medium for comprehensive coding assistance—from autocomplete to agentic coding and chat support. It supports local, cloud, and serverless deployments, allowing enterprises to choose how and where to run AI-powered coding workflows while ensuring all code and data remain within corporate boundaries. Addressing key enterprise pain points, Mistral Code offers deep customization, broad task automation beyond simple suggestions, and unified SLAs across models, plugins, and infrastructure. The platform is capable of reasoning over code files, Git diffs, terminal output, and issues, enabling engineers to complete fully scoped development tasks with configurable approval workflows to keep senior engineers in control. Enterprises such as Spain’s Abanca, France’s SNCF, and global integrator Capgemini rely on Mistral Code to boost developer productivity while maintaining compliance in regulated industries. The system includes a rich admin console with granular platform controls, seat management, and detailed usage analytics for IT managers. Mistral Code is currently in private beta for JetBrains IDEs and VSCode, with general availability expected soon.

Gemini 2.5, developed by Google DeepMind, represents a breakthrough in AI with enhanced reasoning capabilities and native multimodality, allowing it to process long context windows of up to one million tokens. The family includes three variants: Pro for complex coding tasks, Flash for fast general use, and Flash-Lite for high-volume, cost-efficient workflows. Gemini 2.5 models improve accuracy by thinking through diverse strategies and provide developers with adaptive controls to optimize performance and resource use. The models handle multiple input types—text, images, video, audio, and PDFs—and offer powerful tool use like search and code execution. Gemini 2.5 achieves state-of-the-art results across coding, math, science, reasoning, and multilingual benchmarks, outperforming its predecessors. It is accessible through Google AI Studio, Gemini API, and Vertex AI platforms. Google emphasizes responsible AI development, prioritizing safety and security in all applications. Gemini 2.5 enables developers to build advanced interactive simulations, automated coding, and other innovative AI-driven solutions.

Grok 4 Heavy represents xAI’s flagship AI model, leveraging a multi-agent architecture to deliver exceptional reasoning, problem-solving, and multimodal understanding. Developed using the Colossus supercomputer, it achieves a remarkable 50% score on the HLE benchmark, placing it among the leading AI models worldwide. This version can process text, images, and is expected to soon support video inputs, enabling richer contextual comprehension. Grok 4 Heavy is designed for advanced users, including developers and researchers, who demand state-of-the-art AI capabilities for complex scientific and technical tasks. Available exclusively through a $300/month SuperGrok Heavy subscription, it offers early access to future innovations like video generation. xAI has addressed past controversies by strengthening content moderation and removing harmful prompts. The platform aims to push AI boundaries while balancing ethical considerations. Grok 4 Heavy is positioned as a formidable competitor to other leading AI systems.

Claude Opus 4.1 represents a notable incremental enhancement over its predecessor, Claude Opus 4, designed to elevate coding, agentic reasoning, and data-analysis capabilities while maintaining the same level of deployment complexity. This version boosts coding accuracy to an impressive 74.5 percent on SWE-bench Verified and enhances the depth of research and detailed tracking for agentic search tasks. Furthermore, GitHub has reported significant advancements in multi-file code refactoring, and Rakuten Group emphasizes its ability to accurately identify precise corrections within extensive codebases without introducing any bugs. Independent benchmarks indicate that junior developer test performance has improved by approximately one standard deviation compared to Opus 4, reflecting substantial progress consistent with previous Claude releases.

Claude Sonnet 4.5 represents Anthropic's latest advancement in AI, crafted to thrive in extended coding environments, complex workflows, and heavy computational tasks while prioritizing safety and alignment. It sets new benchmarks with its top-tier performance on the SWE-bench Verified benchmark for software engineering and excels in the OSWorld benchmark for computer usage, demonstrating an impressive capacity to maintain concentration for over 30 hours on intricate, multi-step assignments. Enhancements in tool management, memory capabilities, and context interpretation empower the model to engage in more advanced reasoning, leading to a better grasp of various fields, including finance, law, and STEM, as well as a deeper understanding of coding intricacies. The system incorporates features for context editing and memory management, facilitating prolonged dialogues or multi-agent collaborations, while it also permits code execution and the generation of files within Claude applications. Deployed at AI Safety Level 3 (ASL-3), Sonnet 4.5 is equipped with classifiers that guard against inputs or outputs related to hazardous domains and includes defenses against prompt injection, ensuring a more secure interaction. This model signifies a significant leap forward in the intelligent automation of complex tasks, aiming to reshape how users engage with AI technologies.

VectorCAST is an extensive test-automation framework aimed at optimizing unit, integration, and system testing throughout the embedded software development process. It facilitates the automation of test case creation and execution for applications written in C, C++, and Ada, while also accommodating host, target, and continuous integration environments. Additionally, VectorCAST provides structural code coverage metrics, which are essential for ensuring the validation of safety-critical and mission-critical systems. The tool seamlessly integrates with simulation processes such as software-in-the-loop and processor-in-the-loop, and it works with model-based engineering tools like Simulink/Embedded Coder. It also supports advanced white-box testing techniques, including dynamic instrumentation, fault injection, and the generation of test harnesses, effectively combining static analysis results—like those from Polyspace—with dynamic coverage to ensure comprehensive lifecycle verification. Among its significant features are the ability to correlate requirements with tests and the management and reporting of coverage across different configurations, ultimately enhancing the testing process. Overall, VectorCAST empowers organizations to achieve more reliable and efficient testing in their software development endeavors.

RKTracer is a sophisticated tool designed for code coverage and test analysis, allowing development teams to evaluate the thoroughness and effectiveness of their testing efforts across various stages, including unit, integration, functional, and system-level testing, all without needing to modify any existing application code or build process. This versatile tool is capable of instrumenting a wide range of environments, including host machines, simulators, emulators, embedded systems, and servers, while supporting a diverse set of programming languages such as C, C++, CUDA, C#, Java, Kotlin, JavaScript/TypeScript, Golang, Python, and Swift. RKTracer offers comprehensive coverage metrics, providing insights into function, statement, branch/decision, condition, MC/DC, and multi-condition coverage, along with the capability to generate delta-coverage reports that highlight newly added or altered code segments that are already under test. The integration of RKTracer into development workflows is straightforward; by simply prefixing the build or test command with “rktracer,” users can execute their tests and subsequently produce detailed HTML or XML reports suitable for CI/CD systems or integration with dashboards like SonarQube. Ultimately, RKTracer empowers teams to enhance their testing practices and improve overall software quality effectively.

Gemini 3, the latest model from Google DeepMind, establishes a new standard for artificial intelligence by achieving cutting-edge reasoning capabilities and multimodal comprehension across various formats including text, images, and videos. It significantly outperforms its earlier version in critical AI assessments and showcases its strengths in intricate areas like scientific reasoning, advanced programming, spatial reasoning, and visual or video interpretation. The introduction of the innovative “Deep Think” mode takes performance to an even higher level, demonstrating superior reasoning abilities for exceptionally difficult tasks and surpassing the Gemini 3 Pro in evaluations such as Humanity’s Last Exam and ARC-AGI. Now accessible within Google’s ecosystem, Gemini 3 empowers users to engage in learning, developmental projects, and strategic planning with unprecedented sophistication. With context windows extending up to one million tokens and improved media-processing capabilities, along with tailored configurations for various tools, the model enhances precision, depth, and adaptability for practical applications, paving the way for more effective workflows across diverse industries. This advancement signals a transformative shift in how AI can be leveraged for real-world challenges.

Anthropic’s release of Claude Opus 4.5 introduces a frontier AI model that excels at coding, complex reasoning, deep research, and long-context tasks. It sets new performance records on real-world engineering benchmarks, handling multi-system debugging, ambiguous instructions, and cross-domain problem solving with greater precision than earlier versions. Testers and early customers reported that Opus 4.5 “just gets it,” offering creative reasoning strategies that even benchmarks fail to anticipate. Beyond raw capability, the model brings stronger alignment and safety, with notable advances in prompt-injection resistance and behavior consistency in high-stakes scenarios. The Claude Developer Platform also gains richer controls including effort tuning, multi-agent orchestration, and context management improvements that significantly boost efficiency. Claude Code becomes more powerful with enhanced planning abilities, multi-session desktop support, and better execution of complex development workflows. In the Claude apps, extended memory and automatic context summarization enable longer, uninterrupted conversations. Together, these upgrades showcase Opus 4.5 as a highly capable, secure, and versatile model designed for both professional workloads and everyday use.

WedoLow is an advanced optimization platform tailored for embedded and hosted C/C++ applications, aimed at enhancing both performance and efficiency on even the most resource-constrained hardware. By meticulously analyzing source code, WedoLow uncovers performance limitations related to CPU usage, memory consumption, and energy efficiency, while automatically implementing algorithmic and architectural enhancements that are specifically designed for the target hardware. At the heart of its offerings lies the beLow suite, which integrates effortlessly with popular build systems, ensuring a smooth addition to existing development workflows. After the analysis phase is complete, beLow generates a comprehensive diagnostic report that categorizes optimization possibilities into bit-exact, permissive, or lossy, depending on the acceptable output-value tolerance, guiding teams in selecting the most suitable strategies based on their unique constraints and trade-offs. Additionally, WedoLow enhances productivity through its WedoLow MCP Server, which offers AI-assisted code generation and optimization capabilities, further streamlining the development process. This combination of features not only facilitates improved software performance but also empowers developers to make informed decisions for their projects.

eXplain is a robust tool developed by PKS Software GmbH for code analysis and the assessment of legacy systems, specifically aimed at performing in-depth evaluations of legacy applications on mainframe platforms like IBM i (AS/400) and IBM Z. This software allows organizations to gain insights into their software's contents, structural integrity, and identifies components that may be retained, improved, or phased out. By importing existing source code into a standalone "eXplain server," the tool eliminates the necessity for installations on the host system, utilizing sophisticated parsers to scrutinize programming languages such as COBOL, PL/I, Assembler, Natural, RPG, and JCL, along with information pertaining to databases like Db2, Adabas, and IMS, as well as job schedulers and transaction monitors. eXplain creates a centralized repository that functions as a knowledge hub, from which it can produce cross-language dependency graphs, data-flow diagrams, interface evaluations, groupings of related modules, and comprehensive reports on object and resource usage. This enables users to visualize relationships within the code, enhancing their understanding of the software landscape. Ultimately, eXplain empowers organizations to make informed decisions regarding the future of their legacy systems.

Grok 4.1 Thinking is the reasoning-enabled version of Grok designed to handle complex, high-stakes prompts with deliberate analysis. Unlike fast-response models, it visibly works through problems using structured reasoning before producing an answer. This approach improves accuracy, reduces misinterpretation, and strengthens logical consistency across longer conversations. Grok 4.1 Thinking leads public benchmarks in general capability and human preference testing. It delivers advanced performance in emotional intelligence by understanding context, tone, and interpersonal nuance. The model is especially effective for tasks that require judgment, explanation, or synthesis of multiple ideas. Its reasoning depth makes it well-suited for analytical writing, strategy discussions, and technical problem-solving. Grok 4.1 Thinking also demonstrates strong creative reasoning without sacrificing coherence. The model maintains alignment and reliability even in ambiguous scenarios. Overall, it sets a new standard for transparent and thoughtful AI reasoning.

GPT-5.2-Codex is a next-generation coding model created to support advanced, agent-driven software development. Built on the GPT-5.2 architecture, it is fine-tuned specifically for real-world engineering tasks. The model excels at working across large codebases while preserving context over long sessions. It handles complex refactors, migrations, and multi-step implementations more reliably than previous Codex models. GPT-5.2-Codex demonstrates top-tier performance in realistic terminal environments. Enhanced tool-calling and improved factual accuracy make it suitable for production workflows. The model is also significantly stronger in cybersecurity-related tasks. It can assist with vulnerability research and defensive security analysis. GPT-5.2-Codex includes safeguards designed to support responsible deployment. It represents a major advancement in professional-grade coding AI.

Legacy Assembler code can be dense, costly to maintain, and reliant on a shrinking talent pool. But modernization doesn't have to be a painful, high-risk process. We partner with you to make the transition seamless. Rocket® Assembler Code Refactoring™ automatically restructures your complex legacy code into modern languages like COBOL, C, or Java—or structured pseudocode—without changing how your applications behave. - Eliminate conversion risk: Our fully automated engine uses mathematically guaranteed logic equivalence, so your refactored code performs exactly like the original. - Accelerate your timeline: Drastically speed up modernization projects with secure, auditable transformations that help prevent costly outages. - Empower your team: Shift away from relying on hard-to-find specialists and make your core systems easier to maintain for the future. Transform your legacy systems with total confidence. Contact us to start your secure modernization journey today.

GPT-5.3-Codex is a next-generation AI agent built to expand Codex beyond code writing into full-spectrum professional execution. It unifies advanced coding intelligence with reasoning, planning, and computer-use capabilities. The model delivers faster performance while handling more complex workflows across development environments. GPT-5.3-Codex can autonomously iterate on large projects while remaining interactive and steerable. It supports tasks such as debugging, deployment, performance optimization, and system monitoring. The model demonstrates state-of-the-art results across real-world coding benchmarks. It also excels at web development, generating production-ready applications from minimal prompts. GPT-5.3-Codex understands intent more effectively, producing stronger default designs and functionality. Its agentic nature allows it to operate like a collaborative teammate. This makes it suitable for both individual developers and large teams.

Gemini 3.1 Pro represents the next evolution of Google’s Gemini model family, delivering enhanced reasoning and core intelligence for demanding tasks. Designed for situations where nuanced thinking is required, it significantly improves performance across logic-heavy and unfamiliar problem domains. Its verified 77.1% score on ARC-AGI-2 highlights its ability to solve entirely new reasoning patterns, marking a major leap over Gemini 3 Pro. Beyond benchmarks, the model translates advanced reasoning into practical use cases such as visual explanations, structured data synthesis, and creative generation. One standout capability includes generating lightweight, scalable animated SVG graphics directly from text prompts, suitable for production-ready web use. Gemini 3.1 Pro is available in preview for developers through the Gemini API, Google AI Studio, Gemini CLI, Antigravity, and Android Studio. Enterprises can access it through Gemini Enterprise Agent Platform and Gemini Enterprise environments. Consumers benefit through the Gemini app and NotebookLM, with higher usage limits for Google AI Pro and Ultra subscribers. The release aims to validate improvements while expanding into more ambitious agentic workflows before general availability. Gemini 3.1 Pro positions itself as a smarter, more capable foundation for complex, real-world problem solving across industries.

CodeMetal is an advanced platform that leverages AI for code translation and deployment, enabling engineering teams to seamlessly transform high-level reference code into optimized implementations suited for edge and embedded systems. Developers can utilize familiar programming languages like Python, MATLAB, or Julia, and the platform automatically produces low-level code adapted to the specific runtime environment, which may include embedded C/C++, Rust, CUDA, or FPGA languages. Its intelligent workflow assesses module dependencies, identifies architectural equivalents, and generates a comprehensive transpilation and deployment strategy that developers can either review or implement immediately. By focusing on verifiable AI, CodeMetal integrates generative methods with formal verification processes to ensure the translated code is rigorously tested, compliant with standards, and ready for production use, thereby addressing reliability issues often faced in safety-critical sectors. This commitment to quality and safety makes CodeMetal an invaluable tool for developers working in demanding environments.

Gemini 3.1 Flash-Lite represents Google’s newest addition to the Gemini 3 family, built specifically for speed and affordability at scale. Engineered for developers managing high-frequency workloads, the model balances performance and cost efficiency without sacrificing quality. It is competitively priced at $0.25 per million input tokens and $1.50 per million output tokens, making it accessible for large production deployments. Compared to Gemini 2.5 Flash, it delivers substantially faster responses, including a 2.5x improvement in time to first token and a 45% boost in output speed. Benchmark evaluations show strong results, with an Elo score of 1432 and leading scores in reasoning and multimodal understanding tests. The model rivals or surpasses similarly tiered competitors while even outperforming some previous-generation Gemini models. A key feature is its adjustable reasoning control, enabling developers to fine-tune how much computational “thinking” is applied to each request. This flexibility makes it ideal for both lightweight tasks like translation and more complex use cases such as dashboard generation or simulation design. Early enterprise adopters have praised its ability to follow instructions accurately while handling complex inputs efficiently. Gemini 3.1 Flash-Lite is currently rolling out in preview within Google AI Studio and Vertex AI for enterprise customers.

Raven is an innovative runtime application security platform that safeguards cloud-native applications by functioning internally during execution instead of depending on external security measures. By providing real-time insights into the actual operation of code, it can comprehend execution flows, libraries, and behaviors at the function level, which aids in identifying and averting malicious activities before they manifest. In contrast to conventional tools like WAF or EDR that observe from an external viewpoint, Raven integrates within the application itself, thus equipping it to thwart exploits, supply chain attacks, and zero-day vulnerabilities even in the absence of known threats or CVEs. It perpetually scrutinizes runtime activities, detects irregular patterns, or misuse of legitimate operations, and promptly intervenes to halt harmful executions. Furthermore, Raven aids security teams in prioritizing their efforts by sifting through countless irrelevant vulnerabilities, allowing them to concentrate solely on those that pose a genuine risk. This proactive approach not only enhances security but also streamlines the overall security management process, ensuring that resources are allocated effectively.

Your users expect seamless experiences across every device, and your developers need the right tools to deliver them. Rocket® ACUCOBOL-GT® empowers you to build, deploy, and modernize applications across desktop, web, and mobile platforms with ease. We help enterprise developers and independent software vendors turn reliable code into portable, modern solutions that drive real business value. By delivering highly portable, cross-platform capabilities with a low cost of entry, we ensure you can deploy to new markets faster than ever. - Deploy applications effortlessly across diverse operating environments. - Modernize your core systems using a comprehensive suite of advanced development tools. - Expand your reach with flexible, cross-platform solutions designed to meet modern customer demands. Limitless infrastructure means limitless growth. Partner with us to modernize your applications and deliver exceptional value to your users today.

ProxyLite serves as a comprehensive platform for residential proxies and web data collection, boasting access to an extensive global network featuring over 72 million genuine IP addresses situated in more than 190 locations. This allows users to gather public data, automate their workflows, and retrieve localized content while avoiding blocks. The platform provides a variety of proxy types, such as rotating residential proxies, static residential proxies, datacenter proxies, and ISP proxies, all engineered to ensure superior anonymity, rapid response times, and reliable connections for large-scale tasks. Furthermore, it supports unlimited sessions and high concurrency, empowering users to make frequent requests without facing bandwidth limitations or usage caps, all while maintaining a commendable success rate and uptime for dependable performance. Additionally, ProxyLite includes a user-friendly web scraping API that streamlines data extraction by managing request routing, IP rotation, and response processing seamlessly within a unified interface, thus enhancing the overall user experience and efficiency. This makes ProxyLite an invaluable tool for businesses and individuals alike who are in need of robust data collection solutions.

ERNIE 5.1 is Baidu’s next-generation large language model engineered to provide advanced reasoning, autonomous agent capabilities, creative writing performance, and enterprise-grade AI intelligence with highly optimized efficiency. Built on the pre-training foundation of ERNIE 5.0, the model significantly reduces parameter size and computational requirements while still delivering leading performance across major international AI benchmarks. ERNIE 5.1 demonstrates strong capabilities in reasoning, mathematical problem solving, knowledge retrieval, search tasks, and agentic workflows that allow it to handle complex multi-step operations and decision-making scenarios. The platform introduces a fully asynchronous reinforcement learning architecture designed to improve scalability, training efficiency, resource utilization, and long-horizon task stability for large-scale AI development. Baidu also implemented a multi-stage reinforcement learning pipeline that separates expert capability training from unified capability fusion, allowing the model to specialize in areas such as coding, reasoning, search, and conversational intelligence without creating performance conflicts between domains. ERNIE 5.1 supports advanced creative generation with improved emotional understanding, narrative structure control, stylistic adaptability, and contextual awareness for writing-intensive applications. The model performs competitively against leading closed-source global AI systems in knowledge benchmarks, reasoning evaluations, and creative content generation tasks. ERNIE 5.1 is also integrated into creative production platforms, AI storytelling systems, roleplay applications, and agentic AI environments that support content creators and enterprise workflows.

Intellisys is a cutting-edge platform that leverages artificial intelligence to facilitate the modernization and maintenance of applications, utilizing intelligent automation to create various pathways for organizations to move away from outdated technology while minimizing related costs. This platform boasts support for a wide array of programming languages and features custom AI/ML technologies that are constantly evolving to meet user needs. By employing a phased strategy that includes documentation and analysis followed by agile extraction of business rules or optimization and migration of code, Intellisys effectively reduces the risks associated with modernization efforts. It addresses a variety of modernization goals across different applications and technologies, ensuring comprehensive support throughout the process. Additionally, Intellisys generates a fully automated suite of reverse-engineering artifacts, which assists teams in analyzing existing logic, gauging the potential impact of changes, and maintaining up-to-date documentation consistently. This continuous improvement not only enhances understanding but also empowers organizations to confidently navigate their modernization journeys.