Artlantis vs. Modo Comparison Chart

Newforma empowers over 4M professionals and 1,500 AECO firms worldwide by revolutionizing Project Information Management. We transform vast amounts of project data into a meticulously organized, easily accessible, and fully searchable resource—all from a single, centralized platform. From pre-construction to years after completion, Newforma ensures you have the critical information you need at every stage of your projects. With over 50 integrations with the industry's most widely used applications and two decades of expertise, Newforma is your trusted partner in elevating project delivery through unparalleled information management.

AzoreCFD has been a trusted, cutting-edge software tool since 2007. Azore focuses on analysis, design, engineering, and on obtaining precise, and quick results. Customers use Azore for applications that include: industrial flows, aerodynamics, thermal mixing, conjugate heat transfer, gas species mixing, heating and cooling systems, external flows, and more. Azore can be used to simulate essentially any steady-state or transient fluid flow model, including problems that involve conjugate heat transfer and special transport. With flexible pre/post processing, Azore allows for arbitrary polyhedral mesh topology with several import formats supported. Built-in post-processing capabilities includes: scalar fields, pathlines, animations, residual reports, vector fields, ISO-surfaces, force & movement reports, and export for external post-processing.

Control every aspect of your video using AI, from ideation to final edits, on one holistic platform. We’re pioneering the integration of AI and video production, enabling the transformation of a single idea into a cohesive, AI-generated video. LTX empowers individuals to share their visions, amplifying their creativity through new methods of storytelling. Take a simple idea or a complete script, and transform it into a detailed video production. Generate characters and preserve identity and style across frames. Create the final cut of a video project with SFX, music, and voiceovers in just a click. Leverage advanced 3D generative technology to create new angles that give you complete control over each scene. Describe the exact look and feel of your video and instantly render it across all frames using advanced language models. Start and finish your project on one multi-modal platform that eliminates the friction of pre- and post-production barriers.

The pioneer in Enterprise-Class Cloud Based Software Licensing and Monetization since 2005, as used by the world's leading SaaS, Software and IoT Companies. Software Companies looking to monetize their products and manage their customers use the Zentitle platform. Save engineering time. Reduce infrastructure costs. Get your software to market quickly. If you create and sell software, it is time to adopt modern Licensing Models. Product Managers looking to drive revenue from their products do so much faster with Zentitle. New offerings, plans and tiers can be brought to market fast, with little to no engineering once Zentitle is in place. Allow your customers to buy in all the ways they want to. 1000s of software companies have used Zentitle to launch new software products faster and control their entitlements easily, many going from startup to IPO on our cloud software license management solutions.

Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection. Vertex AI Agent Builder enables developers to create and deploy enterprise-grade generative AI applications. It offers both no-code and code-first approaches, allowing users to build AI agents using natural language instructions or by leveraging frameworks like LangChain and LlamaIndex.

AnalyticsCreator is a metadata-driven data warehouse automation solution built specifically for teams working within the Microsoft data ecosystem. It helps organizations speed up the delivery of production-ready data products by automating the entire data engineering lifecycle—from ELT pipeline generation and dimensional modeling to historization and semantic model creation for platforms like Microsoft SQL Server, Azure Synapse Analytics, and Microsoft Fabric. By eliminating repetitive manual coding and reducing the need for multiple disconnected tools, AnalyticsCreator helps data teams reduce tool sprawl and enforce consistent modeling standards across projects. The solution includes built-in support for automated documentation, lineage tracking, schema evolution, and CI/CD integration with Azure DevOps and GitHub. Whether you’re working on data marts, data products, or full-scale enterprise data warehouses, AnalyticsCreator allows you to build faster, govern better, and deliver

SPEC Innovations’ flagship model-based systems engineering solution can help your team reduce time-to-market, cost, and risk on even some of the most complex systems. This cloud or on-premise application uses a modern web browser, with an intuitive graphical user interface. Innoslate’s full lifecycle capabilities include: • Requirements Management • Documents Management • Modeling • Discrete Event Simulator • Monte Carlo Simulator • DoDAF Models and Views • Database Management • Test Management with full reports, status updates, results, and more. • Real Time Collaboration

Google AI Studio is a comprehensive, web-based development environment that democratizes access to Google's cutting-edge AI models, notably the Gemini family, enabling a broad spectrum of users to explore and build innovative applications. This platform facilitates rapid prototyping by providing an intuitive interface for prompt engineering, allowing developers to meticulously craft and refine their interactions with AI. Beyond basic experimentation, AI Studio supports the seamless integration of AI capabilities into diverse projects, from simple chatbots to complex data analysis tools. Users can rigorously test different prompts, observe model behaviors, and iteratively refine their AI-driven solutions within a collaborative and user-friendly environment. This empowers developers to push the boundaries of AI application development, fostering creativity and accelerating the realization of AI-powered solutions.

Thinfinity® Workspace 7 is a comprehensive, secure platform that offers a zero-trust approach, enabling secure and contextual access to corporate virtual desktops, virtual applications, internal web apps, SaaS, and files, whether they are on Windows, Linux, or mainframes. It supports various deployment models, including cloud, on-premise, and hybrid settings, and can be deployed on any cloud provider of your choice. With its proprietary reverse gateway technology, Thinfinity® Remote Workspace 7 ensures secure reverse connections over SSL with TLS 1.3 encryption. This robust approach doesn't require client-side installations, firewall modifications, or the opening of inbound ports on your network, thereby enhancing the security infrastructure of your business. The platform ensures all browser-based connections are secured over HTTPS, offering a wide variety of authentication options, from straightforward User/Password to sophisticated Active Directory authentication.

RaimaDB is an embedded time series database for IoT and Edge devices that can run in-memory. It is an extremely powerful, lightweight and secure RDBMS. Field tested by over 20 000 developers worldwide and has more than 25 000 000 deployments. RaimaDB is a high-performance, cross-platform embedded database designed for mission-critical applications, particularly in the Internet of Things (IoT) and edge computing markets. It offers a small footprint, making it suitable for resource-constrained environments, and supports both in-memory and persistent storage configurations. RaimaDB provides developers with multiple data modeling options, including traditional relational models and direct relationships through network model sets. It ensures data integrity with ACID-compliant transactions and supports various indexing methods such as B+Tree, Hash Table, R-Tree, and AVL-Tree.