Business Software for C++

Our Vi-Pro Broker MIS is a sophisticated broker management software system designed to enhance sales and marketing efforts by allowing users to monitor clients throughout the property purchasing journey for development sites. This software not only aids in sending essential alerts to users but is also tailored to grasp various aspects of the buying process, including property availability and commission details. It features SMS and email functionalities for sending payment reminders and interest alerts directly to customers. Broker MIS is rapidly becoming the preferred brokerage management system in the real estate sector, with an increasing number of brokerages adopting it to streamline their operations. With over 14 years of expertise, we specialize in providing effective brokerage management solutions. Our software empowers real estate businesses to achieve their objectives, ultimately providing the flexibility and capabilities needed for growth. Additionally, Broker MIS is designed to adapt to the evolving needs of the market, ensuring that businesses remain competitive.

HACARUS' AI Core stands out because it can generate highly precise defect detection models using minimal data sets that consist solely of quality information, and it can easily adapt to evolving production environments with minor modifications. The HACARUS Check AI software is an all-encompassing inspection solution designed with the operator's needs at the forefront. This user-friendly application boasts a complete graphical interface, facilitating the effortless creation of robust AI models. To train a new inspection model, only a small set of high-quality data is necessary, and the resulting predictions are delivered almost instantaneously. Additionally, the detected defects are highlighted through useful features, including bounding boxes and heat maps, enhancing the user's ability to identify issues quickly. This innovative approach not only streamlines the inspection process but also ensures higher reliability in defect detection.

Hiro serves as a client-server library designed to enhance the Nakama game server, enabling developers to seamlessly incorporate various economy, social, and LiveOps functionalities into their games. This library is accessible in several formats, including a C# version for Unity Engine, a C++ variant for Unreal Engine, and a server package that harmonizes with the game server. Hiro provides a robust array of tested metagame features that can be swiftly integrated, thus allowing developers to prioritize the essence of gameplay. Developers can establish base and loot table rewards for players, facilitate purchases using either soft or real currency, and create stackable or consumable game items. It also supports the initialization and management of multiple currencies within the game's economic framework. Furthermore, Hiro allows for the customization of store bundles and offer walls according to player behaviors while enabling personalized experiences through experiments. Live events can be scheduled, giving players opportunities to engage and earn unique rewards, and timed or scored events can also be initiated, inviting players to request and share their inventories with others. By utilizing Hiro, game developers can significantly enhance player engagement through these dynamic features.

Getgud.io is an innovative platform that converts gameplay data into targeted marketing campaigns, enhances player involvement, examines in-game behavior, fine-tunes matchmaking processes, and promotes fair play, all within a single solution. By integrating your game server with their platform without needing client-side modifications, you achieve comprehensive visibility of your game and its players. The user-friendly dashboard enables you to consolidate everything that matters to you, allowing you to query data on players, matches, and user submissions while accessing valuable insights. Additionally, you can set up actions and webhooks for specific player groups and even replay matches to observe player behavior directly. Getgud intelligently assesses in-match behavior, identifying players exhibiting toxic traits, including griefers like campers and spawn killers, as well as cheaters such as those using aim-bots and wall-hacks. You maintain authority over the thresholds for these behaviors and the corresponding actions to implement, including the option for automatic bans. Furthermore, this holistic approach ensures a more enjoyable gaming experience for all participants.

Cocos Creator serves as a versatile and lightweight open-source graphics engine that facilitates the creation of both 2D and 3D digital content across multiple platforms in real-time. Its capabilities extend beyond game development, offering comprehensive solutions for sectors such as automotive, XR, the Metaverse, and education, making it a highly adaptable tool. The engine is designed for high performance while maintaining low power consumption, enabling features like streaming loading and seamless cross-platform publishing. With an intuitive all-in-one editor tailored for artists, game designers, and developers, Cocos Creator also boasts a robust plug-in system that allows for extensive customization, a fluid animation editor, and a user-friendly TypeScript scripting language that simplifies debugging. It effectively supports a wide range of platforms, providing both accessible and professional-grade tools for crafting immersive virtual environments. Additionally, Cocos Creator addresses diverse needs such as virtual character development, industrial simulations, interactive marketing strategies, XR content production, gaming experiences, and advanced smart digital cockpit solutions. Overall, its versatility and extensive feature set make Cocos Creator a powerful choice for anyone looking to innovate in the digital landscape.

UNIGINE is a cutting-edge real-time 3D engine crafted for both enterprise users and technology aficionados, delivering stunningly realistic graphics and the ability to manage extensive virtual environments through its C++ and C# application programming interfaces. Designed with open-world features, the engine boasts innovative terrain technology that achieves remarkable detail, allowing for precision of up to 1 mm per pixel, in addition to enabling runtime changes and collaborative editing. It also accommodates 64-bit precision for coordinates, making it possible to create scenes that could encompass entire solar systems. UNIGINE offers three specialized SDK editions to cater to diverse requirements: the Sim SDK, which is perfect for simulation and training in vast planetary scenarios and immersive display configurations; the engineering SDK, which seamlessly integrates into enterprise solutions like digital twins, Building Information Modeling (BIM), and smart city initiatives, equipped with sophisticated GIS and CAD data management; and the Community SDK, aimed at tech enthusiasts who are venturing into game and VR development. As a versatile platform, UNIGINE empowers creators to push the boundaries of what is possible in virtual environments, thereby fostering innovation across various industries.

Thermo Scientific Amira Software serves as a robust and versatile solution for visualizing, analyzing, and comprehending life science and biomedical research data across a range of imaging modalities, such as optical and electron microscopy, CT, MRI, and more. Notably efficient and adaptable, Amira Software enhances advanced bioimaging workflows in diverse research domains, including structural biology, cellular biology, tissue imaging, neuroscience, preclinical studies, and bioengineering. Among its standout features are capabilities for importing and processing image data, visualization and exploration, sophisticated segmentation, measurement, quantification, and analysis, as well as tailored tools for molecular visualization, object tracking, filament tracing, meshing for finite element analysis, diffusion tensor imaging, 3D registration, and the analysis of biomaterial deformation. Additionally, Amira Software provides options for customization and integrates seamlessly with ecosystems like MATLAB, Python, and custom C++, making it a highly adaptable tool for researchers. This flexibility ensures that researchers can tailor their workflows to meet specific experimental needs and challenges.

Gemini 2.0 Flash-Lite represents the newest AI model from Google DeepMind, engineered to deliver an affordable alternative while maintaining high performance standards. As the most budget-friendly option within the Gemini 2.0 range, Flash-Lite is specifically designed for developers and enterprises in search of efficient AI functions without breaking the bank. This model accommodates multimodal inputs and boasts an impressive context window of one million tokens, which enhances its versatility for numerous applications. Currently, Flash-Lite is accessible in public preview, inviting users to investigate its capabilities for elevating their AI-focused initiatives. This initiative not only showcases innovative technology but also encourages feedback to refine its features further.

Gemini 2.0 Pro stands as the pinnacle of Google DeepMind's AI advancements, engineered to master intricate tasks like programming and complex problem resolution. As it undergoes experimental testing, this model boasts an impressive context window of two million tokens, allowing for the efficient processing and analysis of extensive data sets. One of its most remarkable attributes is its ability to integrate effortlessly with external tools such as Google Search and code execution platforms, which significantly boosts its capacity to deliver precise and thorough answers. This innovative model signifies a major leap forward in artificial intelligence, equipping both developers and users with a formidable tool for addressing demanding challenges. Furthermore, its potential applications span various industries, making it a versatile asset in the evolving landscape of AI technology.

Artelys Knitro stands out as a premier solver for extensive nonlinear optimization challenges, providing a comprehensive array of sophisticated algorithms and functionalities to tackle intricate issues across multiple sectors. It boasts four cutting-edge algorithms: two based on interior-point/barrier techniques and two utilizing active-set/sequential quadratic programming methods, which facilitate both efficient and reliable resolutions for diverse optimization scenarios. Furthermore, Knitro features three dedicated algorithms for mixed-integer nonlinear programming, leveraging heuristics, cutting planes, and branching rules to adeptly manage discrete variables. Among its notable capabilities, Knitro includes parallel multi-start functionalities for global optimization, automatic and parallel adjustments of option settings, and intelligent initialization approaches aimed at swiftly identifying infeasibility. The solver is compatible with various programming environments, offering object-oriented APIs for languages such as C++, C#, Java, and Python, thus ensuring versatility for developers. Additionally, its robust support for parallel computing enhances performance and scalability for large-scale applications.

Augoor revolutionizes the way static code is transformed into actionable knowledge, allowing teams to efficiently navigate, document, and optimize intricate systems with ease. By analyzing structures, relationships, and context within the code, Augoor creates a dynamic knowledge graph that significantly expedites the development lifecycle. Its AI-powered code navigation tool boosts the productivity of new developers, seamlessly integrating them into projects from their very first day. Furthermore, Augoor minimizes maintenance challenges and strengthens code integrity by identifying problematic segments, ultimately leading to cost savings and a more robust codebase. The platform automatically produces clear and updated explanations for code, safeguarding knowledge retention, particularly in the case of complex legacy systems. By streamlining the process of searching through code, the AI navigation system enables developers to concentrate on coding, thereby accelerating feature development and nurturing innovation across extensive codebases. Additionally, Augoor's sophisticated AI-driven visualizations reveal hidden patterns, elucidate complex dependencies, and unveil critical relationships that can enhance overall project efficiency. This multifaceted approach not only simplifies development but also empowers teams to make informed decisions based on deep insights from their code.

Astah UML is a robust and user-friendly diagramming software specifically designed for the creation of UML diagrams utilized in software development. It accommodates a broad spectrum of UML 2.x diagrams, encompassing class, use case, sequence, activity, and component diagrams, while equipping users with essential tools for the design and management of intricate projects. The platform boasts helpful features to accelerate the diagram creation process, such as automatically generating class diagrams, providing alignment guides, and offering auto-layout options. Moreover, it allows users to connect with various other applications like Miro, PlantUML, and yUML, and offers extensive customization options through a rich library of plug-ins. Furthermore, Astah UML facilitates reverse engineering of code written in Java, C#, and C++, and allows for the smooth generation of code from diagrams. Users can export their diagrams in multiple formats, and the software integrates effortlessly with office applications. Its versatility makes it an ideal choice for students, individual engineers, as well as development teams, thereby serving both educational and professional purposes in the realm of software modeling. Overall, its combination of features and usability positions Astah UML as a leading tool in the market for software development professionals.

ERNIE X1 represents a sophisticated conversational AI model created by Baidu within their ERNIE (Enhanced Representation through Knowledge Integration) lineup. This iteration surpasses earlier versions by enhancing its efficiency in comprehending and producing responses that closely resemble human interaction. Utilizing state-of-the-art machine learning methodologies, ERNIE X1 adeptly manages intricate inquiries and expands its capabilities to include not only text processing but also image generation and multimodal communication. Its applications are widespread in the realm of natural language processing, including chatbots, virtual assistants, and automation in enterprises, leading to notable advancements in precision, contextual awareness, and overall response excellence. The versatility of ERNIE X1 makes it an invaluable tool in various industries, reflecting the continuous evolution of AI technology.

Google Cloud's Eventarc is a comprehensive, managed solution that empowers developers to establish event-driven architectures by channeling events from multiple sources to designated endpoints. It captures events generated within a system and forwards them to chosen destinations, promoting the development of loosely connected services that respond aptly to changes in state. Supporting events from a range of Google Cloud services, bespoke applications, and external SaaS providers, Eventarc offers significant versatility in designing event-driven applications. Developers have the capability to set up triggers that direct events to various endpoints, such as Cloud Run services, which enhances the responsiveness and scalability of application structures. Furthermore, Eventarc guarantees secure event transmission by incorporating Identity and Access Management (IAM), which facilitates meticulous access control over the processes of event ingestion and handling. This robust security feature ensures that only authorized users can manage events, thereby maintaining the integrity and confidentiality of the data involved.

CodeGuide is an innovative platform that leverages artificial intelligence to help developers generate thorough project documentation specifically for AI coding initiatives. By automating the production of Product Requirement Documents (PRDs), workflows, and prompts, it enhances efficiency while minimizing the risk of inaccuracies associated with AI. After signing up using their Google account, users can initiate a new project by outlining their concept, essential features, and objectives. The platform is compatible with a variety of AI coding tools, such as Claude AI, Bolt, VS Code, GitHub Copilot, Cursor AI, and Replit. Furthermore, CodeGuide provides specialized Starter Kits tailored for coding with preferred AI tools, including the Starter Kit Lite, which is a contemporary web application template built on Next.js 14 that features authentication and database integration. These kits are specifically crafted to help users kickstart their projects without the usual setup complexities, ultimately conserving resources. In addition, CodeGuide offers users access to Codie, an AI assistant powered by Google's Gemini, which further enhances the development experience by providing real-time support and insights. This combination of features makes CodeGuide a valuable resource for developers looking to streamline their project workflows and documentation processes.

The online JSON Editor provided by JSON Formatter is an intuitive tool crafted for the purposes of editing, viewing, and analyzing JSON data efficiently. Among its numerous features are capabilities for formatting, beautifying, and validating JSON, in addition to converting it into other formats like XML, CSV, and YAML. Users have the option to load their JSON data through file uploads or by entering URLs, and they can conveniently share their edited JSON via generated links. Operating entirely within the browser guarantees that data remains local, which significantly boosts both security and performance. This makes it an ideal choice for developers and data analysts alike who prioritize data privacy while working with various JSON formats.

AlphaCodium is an innovative AI tool created by Qodo that focuses on enhancing coding through iterative and test-driven methodologies. By facilitating logical reasoning, testing, and code refinement, it aids large language models in boosting their accuracy. Unlike traditional prompt-based methods, AlphaCodium steers AI through a more structured flow, which enhances its ability to tackle intricate coding challenges, especially those that involve edge cases. This tool not only refines outputs through specific tests but also ensures that results are more dependable, thereby improving overall performance in coding tasks. Studies show that AlphaCodium significantly raises the success rates of models such as GPT-4o, OpenAI o1, and Sonnet-3.5. Additionally, it empowers developers by offering sophisticated solutions for challenging programming assignments, ultimately leading to greater efficiency in the software development process. By harnessing the power of structured guidance, AlphaCodium enables developers to tackle complex coding tasks with newfound confidence and competence.

Gemini 2.5 Flash is a high-performance AI model developed by Google to meet the needs of businesses requiring low-latency responses and cost-effective processing. It is optimized for real-time applications like customer support and virtual assistants, where responsiveness is crucial. Gemini 2.5 Flash features dynamic reasoning, which allows businesses to fine-tune the model's speed and accuracy to meet specific needs. By adjusting the "thinking budget" for each query, it helps companies achieve optimal performance without sacrificing quality.

DeepSeek-Coder-V2 is an open-source model tailored for excellence in programming and mathematical reasoning tasks. Utilizing a Mixture-of-Experts (MoE) architecture, it boasts a staggering 236 billion total parameters, with 21 billion of those being activated per token, which allows for efficient processing and outstanding performance. Trained on a massive dataset comprising 6 trillion tokens, this model enhances its prowess in generating code and tackling mathematical challenges. With the ability to support over 300 programming languages, DeepSeek-Coder-V2 has consistently outperformed its competitors on various benchmarks. It is offered in several variants, including DeepSeek-Coder-V2-Instruct, which is optimized for instruction-based tasks, and DeepSeek-Coder-V2-Base, which is effective for general text generation. Additionally, the lightweight options, such as DeepSeek-Coder-V2-Lite-Base and DeepSeek-Coder-V2-Lite-Instruct, cater to environments that require less computational power. These variations ensure that developers can select the most suitable model for their specific needs, making DeepSeek-Coder-V2 a versatile tool in the programming landscape.

CarMaker serves as a dedicated simulation solution aimed at the creation and efficient evaluation of cars and light-duty vehicles throughout all phases of development, including MIL, SIL, HIL, and VIL. It provides a robust, real-time vehicle model that allows for the early construction of virtual prototypes during the development phase. Users have the flexibility to substitute any component with tailored models or hardware to meet specific needs. By integrating the virtual prototype with a dynamic driver model, a sophisticated traffic simulation, and an intricate road and environment setup, it enables automated, repeatable testing at any time. The user-friendly interface is designed for straightforward parameter adjustments. With the introduction of Movie NX, CarMaker offers a new visualization tool that produces photorealistic simulations of various scenarios. This feature includes realistic lighting and weather effects, allowing the virtual world to simulate real situations at any hour and in any season. Additionally, the built-in high dynamic range (HDR) camera models facilitate accurate testing of camera systems, enhancing the overall testing capabilities. The comprehensive nature of CarMaker makes it a valuable asset for vehicle development and testing.

TruckMaker is an advanced real-time simulation platform designed specifically for the needs of heavy-duty vehicle development and testing, encompassing trucks, construction machinery, buses, semi-trucks, and specialized vehicles. This solution facilitates precise modeling of real-world testing conditions in a virtual environment, thereby enhancing the efficiency of development workflows. By aligning with the automotive systems engineering methodology, TruckMaker allows for continuous development, calibration, testing, and validation of complete vehicle systems within realistic virtual scenarios through test driving simulations. It provides a powerful, real-time vehicle modeling capability that enables the creation of virtual prototypes at the initial phases of the development process. Additionally, users can customize their simulations by integrating their own components or hardware models, further tailoring the simulation experience to their specific requirements. This flexibility and realism make TruckMaker an invaluable tool in the heavy-duty vehicle industry.

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.

Beam is an innovative serverless GPU platform tailored for developers to effortlessly deploy AI workloads with minimal setup and swift iteration. It allows for the execution of custom models with container start times of less than a second and eliminates idle GPU costs, meaning users can focus on their code while Beam takes care of the underlying infrastructure. With the ability to launch containers in just 200 milliseconds through a specialized runc runtime, it enhances parallelization and concurrency by distributing workloads across numerous containers. Beam prioritizes an exceptional developer experience, offering features such as hot-reloading, webhooks, and job scheduling, while also supporting workloads that scale to zero by default. Additionally, it presents various volume storage solutions and GPU capabilities, enabling users to run on Beam's cloud with powerful GPUs like the 4090s and H100s or even utilize their own hardware. The platform streamlines Python-native deployment, eliminating the need for YAML or configuration files, ultimately making it a versatile choice for modern AI development. Furthermore, Beam's architecture ensures that developers can rapidly iterate and adapt their models, fostering innovation in AI applications.

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.