Business Software for Visual Basic

Validate international formats and phone numbers, eliminate fraudulent contacts and increase contact rates. Remove non-reachable numbers from your contact records. Phone Validation by Service Objects offers unmatched accuracy and coverage to quickly determine global phone numbers. Our software covers 8.6 billion phone numbers worldwide, including 7.3 million mobile numbers, and more than 250 countries and regions. Phone numbers are standardised according to country-specific formats, and receive a score that indicates if they are valid. This helps improve contact rates and supports compliance efforts. Service Objects Phone Validation relies on multiple authoritative data sources to quickly determine the validity of a number. You can be sure that you are only contacting legitimate phone numbers. This will help you increase your customer contact rates.

It is important to communicate with a lead or customer effectively. Name Validation is a 40-step process that helps your business eliminate inaccurate and bogus names. It also prevents embarrassing personalization errors from being sent out to customers and prospects. It's important to get the names of your customers and prospects right. Accurate names can be crucial for effective personalization, and are also a good indicator of fraudulent or bogus submissions to web forms. Name Validation verifies both first and last name using a global database with more than 1.4 millions first names and 2.75 millions last names. It corrects common mistakes and flags garbage before it enters into your database. Our real-time service for name validation and verification corrects and tests against a proprietary consumer database that contains millions of names to determine an overall score. This score can be used by your business to block or deny bogus submissions.

In honor of Cleopatra, whose magnificent fate concluded amidst the tragic incident involving a snake, we are excited to introduce Codestral Mamba, a Mamba2 language model specifically designed for code generation and released under an Apache 2.0 license. Codestral Mamba represents a significant advancement in our ongoing initiative to explore and develop innovative architectures. It is freely accessible for use, modification, and distribution, and we aspire for it to unlock new avenues in architectural research. The Mamba models are distinguished by their linear time inference capabilities and their theoretical potential to handle sequences of infinite length. This feature enables users to interact with the model effectively, providing rapid responses regardless of input size. Such efficiency is particularly advantageous for enhancing code productivity; therefore, we have equipped this model with sophisticated coding and reasoning skills, allowing it to perform competitively with state-of-the-art transformer-based models. As we continue to innovate, we believe Codestral Mamba will inspire further advancements in the coding community.

Introducing Mistral NeMo, our latest and most advanced small model yet, featuring a cutting-edge 12 billion parameters and an expansive context length of 128,000 tokens, all released under the Apache 2.0 license. Developed in partnership with NVIDIA, Mistral NeMo excels in reasoning, world knowledge, and coding proficiency within its category. Its architecture adheres to industry standards, making it user-friendly and a seamless alternative for systems currently utilizing Mistral 7B. To facilitate widespread adoption among researchers and businesses, we have made available both pre-trained base and instruction-tuned checkpoints under the same Apache license. Notably, Mistral NeMo incorporates quantization awareness, allowing for FP8 inference without compromising performance. The model is also tailored for diverse global applications, adept in function calling and boasting a substantial context window. When compared to Mistral 7B, Mistral NeMo significantly outperforms in understanding and executing detailed instructions, showcasing enhanced reasoning skills and the ability to manage complex multi-turn conversations. Moreover, its design positions it as a strong contender for multi-lingual tasks, ensuring versatility across various use cases.

The Mixtral 8x22B represents our newest open model, establishing a new benchmark for both performance and efficiency in the AI sector. This sparse Mixture-of-Experts (SMoE) model activates only 39B parameters from a total of 141B, ensuring exceptional cost efficiency relative to its scale. Additionally, it demonstrates fluency in multiple languages, including English, French, Italian, German, and Spanish, while also possessing robust skills in mathematics and coding. With its native function calling capability, combined with the constrained output mode utilized on la Plateforme, it facilitates the development of applications and the modernization of technology stacks on a large scale. The model's context window can handle up to 64K tokens, enabling accurate information retrieval from extensive documents. We prioritize creating models that maximize cost efficiency for their sizes, thereby offering superior performance-to-cost ratios compared to others in the community. The Mixtral 8x22B serves as a seamless extension of our open model lineage, and its sparse activation patterns contribute to its speed, making it quicker than any comparable dense 70B model on the market. Furthermore, its innovative design positions it as a leading choice for developers seeking high-performance solutions.

Qwen2.5 represents a state-of-the-art multimodal AI system that aims to deliver highly precise and context-sensitive outputs for a diverse array of uses. This model enhances the functionalities of earlier versions by merging advanced natural language comprehension with improved reasoning abilities, creativity, and the capacity to process multiple types of media. Qwen2.5 can effortlessly analyze and produce text, interpret visual content, and engage with intricate datasets, allowing it to provide accurate solutions promptly. Its design prioritizes adaptability, excelling in areas such as personalized support, comprehensive data analysis, innovative content creation, and scholarly research, thereby serving as an invaluable resource for both professionals and casual users. Furthermore, the model is crafted with a focus on user engagement, emphasizing principles of transparency, efficiency, and adherence to ethical AI standards, which contributes to a positive user experience.

Tülu 3 is a cutting-edge language model created by the Allen Institute for AI (Ai2) that aims to improve proficiency in fields like knowledge, reasoning, mathematics, coding, and safety. It is based on the Llama 3 Base and undergoes a detailed four-stage post-training regimen: careful prompt curation and synthesis, supervised fine-tuning on a wide array of prompts and completions, preference tuning utilizing both off- and on-policy data, and a unique reinforcement learning strategy that enhances targeted skills through measurable rewards. Notably, this open-source model sets itself apart by ensuring complete transparency, offering access to its training data, code, and evaluation tools, thus bridging the performance divide between open and proprietary fine-tuning techniques. Performance assessments reveal that Tülu 3 surpasses other models with comparable sizes, like Llama 3.1-Instruct and Qwen2.5-Instruct, across an array of benchmarks, highlighting its effectiveness. The continuous development of Tülu 3 signifies the commitment to advancing AI capabilities while promoting an open and accessible approach to technology.

Simplify, Automate, and Innovate in Software Development GeneXus is a cutting-edge Low-Code Platform powered by Artificial Intelligence, designed to simplify, automate, and future-proof the software development process. By focusing on modeling applications instead of writing code, GeneXus automatically generates complete solutions, from user interfaces to backend systems. This approach reduces complexity, accelerates time-to-market, and ensures effortless adaptability to emerging technologies. With over 35 years of expertise, GeneXus empowers organizations to build AI-driven systems, modernize legacy software, and create scalable, mission-critical solutions. It supports web, mobile, and desktop platforms while integrating seamlessly with APIs, databases, and enterprise systems. Trusted in more than 50 countries, GeneXus continues to lead the way as a visionary in the low-code industry.

Enhance your productivity by ensuring only high-quality code is released, as SonarQube Cloud (previously known as SonarCloud) seamlessly evaluates branches and enriches pull requests with insights. Identify subtle bugs to avoid unpredictable behavior that could affect users and address security vulnerabilities that threaten your application while gaining knowledge of application security through the Security Hotspots feature. Within moments, you can begin using the platform right where your code resides, benefiting from immediate access to the most current features and updates. Project dashboards provide vital information on code quality and readiness for release, keeping both teams and stakeholders in the loop. Showcase project badges to demonstrate your commitment to excellence within your communities. Code quality and security are essential across your entire technology stack, encompassing both front-end and back-end development. That’s why we support a wide range of 24 programming languages, including Python, Java, C++, and many more. The demand for transparency in coding practices is on the rise, and we invite you to be a part of this movement; it's completely free for open-source projects, making it an accessible opportunity for all developers! Plus, by participating, you contribute to a larger community dedicated to improving software quality.

Scalable, end to end management for third party code, license compliance and Open Source has been a critical supplier for modern software businesses. It has changed the way people think about code. FOSSA provides the infrastructure to enable modern teams to succeed with open source. FOSSA's flagship product allows teams to track open source code used in their code. It also automates license scanning and compliance. FOSSA's tools have been used to ship software by over 7,000 open-source projects (Kubernetes Webpack, Terraform and ESLint) as well as companies like Uber, Ford, Zendesk and Motorola. FOSSA code is used by many in the software industry today. FOSSA is a venture-funded startup that has been backed by Cosanoa Ventures and Bain Capital Ventures. Marc Benioff (Salesforce), Steve Chen(YouTube), Amr Asadallah (Cloudera), Jaan Talin (Skype), Justin Mateen (Tinder) are some of the affiliate angels.

Snappy Tick Source Edition (SAST) is a powerful tool designed for reviewing source code to uncover vulnerabilities present in the codebase. It offers both Static Code Analysis and Source Code Review functionalities. By implementing in-line auditing techniques, it effectively identifies the most critical security issues within applications and ensures that adequate security measures are in place. On the other hand, Snappy Tick Standard Edition (DAST) serves as a dynamic application security solution that facilitates both black box and grey box testing. It examines requests and responses to detect potential vulnerabilities by attempting to access various application components during runtime. Equipped with impressive features tailored for Snappy Tick, it can scan multiple programming languages with ease. Additionally, it provides comprehensive reporting that clearly outlines affected source files, specifies line numbers, and even details specific sections of code that require attention, ensuring that developers can address vulnerabilities efficiently. This holistic approach to security assessment makes Snappy Tick an invaluable asset for any development team.

UEStudio enhances the renowned UltraEdit text editor by incorporating advanced features tailored for developers and teams, including comprehensive Git integration. Within UEStudio, you can effortlessly clone, checkout, update, commit, push/pull, and perform various other operations to efficiently manage your Git repositories. As a powerful Git editor, UEStudio merges the capabilities of top-tier text editing with Git functionalities all in one convenient platform. You can modify and refresh your source files, then commit changes with a simple hotkey or mouse click, streamlining the development process. The Git branch manager in UEStudio allows for easy merging of branches, and if you prefer, you can utilize the Git shell for command-line operations. You can swiftly examine and resolve merge conflicts using UltraCompare’s merge tool, ensuring a smooth workflow. Furthermore, UEStudio intelligently analyzes your project and source files, providing automatic code completion to enhance productivity and coding efficiency. This seamless integration of features makes UEStudio an invaluable tool for developers seeking to optimize their coding experience.

Mercury represents an advanced version of the BASIC programming language that maintains full compatibility with Microsoft Visual Basic.NET™, while expanding its capabilities and opportunities. This innovative tool enables you to enhance your existing VB.NET projects, allowing you to utilize your Visual Basic™ expertise to develop applications for a wide array of modern platforms. Additionally, you have the flexibility to incorporate Mercury code alongside any of the other five Elements languages within a single project if you wish! The integration of the Mercury language within our development environments is seamless and efficient. You can create your projects using our intelligent yet efficient IDEs, Water for Windows or Fire for Mac, which feature project templates, code completion, and comprehensive debugging tools across all platforms, among other sophisticated development functionalities. Moreover, Mercury ensures smooth integration with Visual Studio™ versions 2017, 2019, and 2022. With the Elements framework, all programming languages are treated equally, allowing you to seamlessly blend Mercury with C#, Swift, Java, Oxygene, and Go in the same project, fostering an environment of versatility and creativity in software development. This flexibility opens doors to new possibilities, enabling developers to choose the best language for each task.

Synergy DBL is a reliable and ANSI-standard business language that incorporates class libraries, a high-performance database, and .NET interoperability, forming the foundation of the Synergy/DE product suite. This versatile language empowers developers to build scalable and portable enterprise applications while accommodating both object-oriented and structured programming methodologies. There are two versions of Synergy DBL: the traditional variant and Synergy DBL designed specifically for .NET. The traditional version interfaces seamlessly with various open technologies like XML, HTTPS, SSL, and ActiveX, facilitating interaction with third-party applications and data sources. Additionally, the multi-pass Synergy DBL compiler is equipped with robust prototyping capabilities and strict error-detection features to ensure high-quality code. In contrast, Synergy DBL for .NET allows developers to create libraries and applications that run natively within the .NET framework, enabling further enhancements by leveraging .NET Framework libraries, third-party controls, and seamless interoperability with applications developed in other programming languages. This flexibility makes Synergy DBL an excellent choice for modern software development needs.

X# is an open-source programming language designed for the .NET framework, derived from the xBase language. It is available in various versions including Core, Visual Objects, Vulcan.NET, xBase++, Harbour, and Foxpro, among others. Built on the Roslyn platform, which serves as the foundation for modern Microsoft C# and Visual Basic compilers, X# incorporates numerous enhancements. A new options page has been introduced (tools/options/text editor/X#) that allows users to manage the suggestions provided by the editor in the general code completion list. The code completion feature is designed to display relevant namespaces, types, and members following a colon or dot, while suggestions after AS or IS focus on types and namespaces. To enhance compatibility with FoxPro and Xbase++, several preprocessor improvements have been implemented, including the addition of the #if and #stdout commands. Furthermore, various minor adjustments within the RDD system have been made to boost its compatibility with Visual Objects, XBase++, and FoxPro, ensuring a more seamless development experience. These enhancements reflect our commitment to continuous improvement and user feedback.

The Windows UI Library (WinUI) serves as a native framework designed to enhance user experiences (UX) for both desktop and Universal Windows Platform (UWP) applications. By integrating the Fluent Design System across all elements, including controls and aesthetics, WinUI ensures that applications deliver a cohesive, user-friendly, and accessible interface that aligns with contemporary UI trends. It accommodates the development of both new and existing applications, allowing developers to either create from scratch or seamlessly transition their current MFC, WinForms, or WPF applications, utilizing well-known programming languages such as C++, C#, Visual Basic, and JavaScript (through React Native for Windows). Moreover, this versatility enables developers to leverage modern design principles while maintaining familiarity with their coding practices. In doing so, WinUI not only enhances the development process but also enriches the overall user engagement with applications.

Both QBasic and QuickBasic serve as accessible programming languages suitable for novices, originating from the DOS operating system yet also functioning on Windows platforms. QBasic is essentially a streamlined version of QuickBasic, but it comes with notable limitations such as the absence of a compiler, which prevents it from generating executable files (.exe). Users can only run source code files, typically with a .bas extension, through the integrated QBasic interpreter. In contrast, QuickBasic offers a broader range of commands compared to its simpler counterpart. For those embarking on their programming journey, starting with a lightweight language and a straightforward compiler can be especially beneficial. QBasic (often abbreviated as QB) presents distinct advantages for both beginners and experienced developers that are not found in other compilers. During the era when DOS dominated the operating system landscape, the QB IDE was immensely popular among programmers. Nowadays, to run QBasic or QuickBasic on modern Windows systems, a DOS emulator like DOSBox is necessary for compatibility. This requirement serves as a reminder of how far technology has progressed since the days of DOS. Additionally, the simplicity of QBasic allows learners to grasp fundamental programming concepts without feeling overwhelmed.

Falcon-40B is a causal decoder-only model consisting of 40 billion parameters, developed by TII and trained on 1 trillion tokens from RefinedWeb, supplemented with carefully selected datasets. It is distributed under the Apache 2.0 license. Why should you consider using Falcon-40B? This model stands out as the leading open-source option available, surpassing competitors like LLaMA, StableLM, RedPajama, and MPT, as evidenced by its ranking on the OpenLLM Leaderboard. Its design is specifically tailored for efficient inference, incorporating features such as FlashAttention and multiquery capabilities. Moreover, it is offered under a flexible Apache 2.0 license, permitting commercial applications without incurring royalties or facing restrictions. It's important to note that this is a raw, pretrained model and is generally recommended to be fine-tuned for optimal performance in most applications. If you need a version that is more adept at handling general instructions in a conversational format, you might want to explore Falcon-40B-Instruct as a potential alternative.

Falcon-7B is a causal decoder-only model comprising 7 billion parameters, developed by TII and trained on an extensive dataset of 1,500 billion tokens from RefinedWeb, supplemented with specially selected corpora, and it is licensed under Apache 2.0. What are the advantages of utilizing Falcon-7B? This model surpasses similar open-source alternatives, such as MPT-7B, StableLM, and RedPajama, due to its training on a remarkably large dataset of 1,500 billion tokens from RefinedWeb, which is further enhanced with carefully curated content, as evidenced by its standing on the OpenLLM Leaderboard. Additionally, it boasts an architecture that is finely tuned for efficient inference, incorporating technologies like FlashAttention and multiquery mechanisms. Moreover, the permissive nature of the Apache 2.0 license means users can engage in commercial applications without incurring royalties or facing significant limitations. This combination of performance and flexibility makes Falcon-7B a strong choice for developers seeking advanced modeling capabilities.

Death By Captcha stands out as a premier captcha resolution service, boasting over 14 years of experience in the captcha bypass industry and establishing itself as a leader in the field. Our dedicated teams of technical specialists and skilled decoders have collaborated to develop an impressively rapid and precise resolution system. At just $1.39 for every 1,000 decoded captchas, we provide access to a round-the-clock team of captcha decoders that achieves an impressive success rate between 95% and 100%, with a typical response time of around 15 seconds supported by various API clients. With Death By Captcha, solving any captcha is a straightforward process; simply integrate our API, submit your captchas, and receive the decoded text effortlessly. Our system combines cutting-edge OCR technology with the expertise of our 24/7 captcha solvers, resulting in an outstanding average response time of just 9 seconds for standard text captchas and maintaining a precision rate of 90% or higher. This seamless integration allows businesses to enhance their operations while ensuring efficient captcha resolution.

Baichuan-13B is an advanced large-scale language model developed by Baichuan Intelligent, featuring 13 billion parameters and available for open-source and commercial use, building upon its predecessor Baichuan-7B. This model has set new records for performance among similarly sized models on esteemed Chinese and English evaluation metrics. The release includes two distinct pre-training variations: Baichuan-13B-Base and Baichuan-13B-Chat. By significantly increasing the parameter count to 13 billion, Baichuan-13B enhances its capabilities, training on 1.4 trillion tokens from a high-quality dataset, which surpasses LLaMA-13B's training data by 40%. It currently holds the distinction of being the model with the most extensive training data in the 13B category, providing robust support for both Chinese and English languages, utilizing ALiBi positional encoding, and accommodating a context window of 4096 tokens for improved comprehension and generation. This makes it a powerful tool for a variety of applications in natural language processing.

Babel Obfuscator serves as a robust protection solution for the Microsoft .NET Framework. Applications developed in .NET languages, such as C# and Visual Basic .NET, are typically vulnerable to reverse engineering since they compile down to MSIL (Microsoft Intermediate Language), which is a CPU-agnostic instruction set included in .NET assemblies, along with metadata that facilitates the recreation of the original source code. This tool effectively alters assemblies to obscure the code, rendering reverse engineering exceedingly challenging. The method employed for this transformation is known as obfuscation. By utilizing this tool, you can protect your software from reverse engineering and preserve the intellectual property embedded in your code. It is compatible with Windows, MAC OSX, and Linux operating systems, offering comprehensive code encryption and virtualization. Additionally, it streamlines application deployment by merging or embedding all necessary dependencies into a single file. Moreover, it enhances code efficiency by minimizing overall metadata size and eliminating any unused code segments, thereby improving performance. Ultimately, Babel Obfuscator equips developers with the necessary means to safeguard their creations effectively.

Utilize our automated appointment reminder system to effortlessly send reminders via calls, texts, or emails to your patients or clients. Our small business package provides all the essential features necessary for dispatching automated appointment notifications effectively. You have the freedom to fully customize the content of your text messages, incorporating specific details like room numbers, outstanding amounts, and location names. Furthermore, any failed text messages will automatically convert into calls, and you’ll have access to an unlimited number of templates. You can send call reminders using your verified office caller ID and create these reminders from an extensive in-house library containing over 150 pre-recorded voice files. Additionally, you can record custom voice files over the phone at no extra cost. The system allows you to include your logo, brand colors, company name, phone number, and various other personalized fields. Customers can easily confirm their appointments by pressing buttons embedded in the email reminders. Our emails are designed to be compatible with most email platforms, carefully configured to bypass spam filters, and offer recipients the option to unsubscribe effortlessly. This comprehensive approach ensures that your communication with clients is effective and professional.

Reduce Mean Time to Detection (MTTD) and Mean Time to Recovery (MTTR) with comprehensive coverage achievable within minutes of deployment. Employ a complete DevSecOps toolchain that spans all your environments, ensuring the implementation and gathering of evidence as part of an ongoing security strategy. This solution is unified and de-duplicated across all orchestrated layers, allowing you to add thousands of checks through a single line of code, enhanced by AI capabilities. Designed with a strong focus on security, it effectively sidesteps prevalent security errors and vulnerabilities, while being adept at understanding contemporary technologies. Every feature is accessible through a REST API, making it easily integrable with CI/CD systems, and it operates in a lightweight and rapid manner. You have the option to self-host for total code governance and transparency, or to utilize a source-available binary exclusively within your own CI/CD pipeline. Opting for a source-available solution grants you complete control and transparency over your security measures. The initial setup is straightforward, necessitating no software installation, and it supports a wide variety of programming languages. This tool is capable of detecting thousands of code and infrastructure-related issues, with the count continually rising. Users can review detected issues, categorize them as false positives, and collaborate effectively on resolutions, fostering a more secure development environment. Continuous updates ensure that the tool remains aligned with emerging security threats and technology advancements.

The Mixtral 8x7B model is an advanced sparse mixture of experts (SMoE) system that boasts open weights and is released under the Apache 2.0 license. This model demonstrates superior performance compared to Llama 2 70B across various benchmarks while achieving inference speeds that are six times faster. Recognized as the leading open-weight model with a flexible licensing framework, Mixtral also excels in terms of cost-efficiency and performance. Notably, it competes with and often surpasses GPT-3.5 in numerous established benchmarks, highlighting its significance in the field. Its combination of accessibility, speed, and effectiveness makes it a compelling choice for developers seeking high-performing AI solutions.