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Data Modeling Tools
Data modeling tools are software tools that help organizations design, visualize, and manage data structures, relationships, and flows within databases and data systems. These tools enable data architects and engineers to create conceptual, logical, and physical data models that ensure data is organized in a way that is efficient, scalable, and aligned with business needs. Data modeling tools also provide features for defining data attributes, establishing relationships between entities, and ensuring data integrity through constraints. By automating aspects of the design and validation process, these tools help prevent errors and inconsistencies in database structures. They are essential for businesses that need to manage complex datasets and maintain data consistency across multiple platforms.
3D Modeling Software
3D modeling software is designed to create, edit, and manipulate 3D models used in a wide range of industries such as gaming, film production, architecture, and product design. These tools allow users to create 3D representations of objects, environments, and characters by manipulating shapes, textures, and materials in a digital space. Features typically include modeling tools for mesh creation, sculpting, texturing, and rigging, as well as rendering capabilities to visualize the final design. 3D modeling software is essential for prototyping, visualizing concepts, and preparing models for applications such as 3D printing, virtual reality (VR), and augmented reality (AR).
Financial Modeling Software
Financial modeling software is used to create, analyze, and manage financial models and simulations. These solutions provide a range of tools and capabilities to help organizations make more informed and accurate financial decisions. Financial modeling software allows organizations to create sophisticated financial models that account for multiple variables and scenarios, helping them optimize their financial planning and decision-making processes.
Molecular Modeling Software
Molecular modeling software is software used by chemists and biologists to visualize, simulate, and predict the properties of molecules. It can be used to design new drug molecules or study existing ones. The software uses computational algorithms and graphical user interfaces to depict molecular structure, as well as analyze functions such as bond lengths, angles, and energies. It can also simulate molecular dynamics processes to understand chemical reactivity on a molecular level.
Parametric Modeling Software
Parametric modeling software is a type of computer-aided design (CAD) software that allows 3D objects to be created and manipulated using parameters. It enables users to generate and modify geometric shapes based on variable measurements, allowing for increased speed and efficiency in the design process. This type of software is used widely in various industries such as engineering, architecture, product development and manufacturing. Additionally, parametric modeling software can also be used for analysis purposes as it can simulate realistic conditions while testing a design’s strength or functionality.
Threat Modeling Tools
Threat modeling tools are software solutions that enable organizations identify, assess, and prioritize security threats within their systems, applications, and networks. These tools enable security teams to create structured models of their infrastructure and simulate potential attack scenarios, helping to uncover vulnerabilities before they can be exploited. Threat modeling tools typically allow users to map out the flow of data, identify entry points, and analyze the potential impact of different types of threats, such as unauthorized access or data breaches. By automating aspects of the threat identification process, these tools help organizations proactively strengthen their security posture. They are essential for risk management and ensuring that security controls are effectively implemented.
Surface Modeling Software
Surface modeling software is used to create complex, curved 3D surfaces, often applied in industries like automotive, aerospace, and industrial design. Unlike solid modeling, which focuses on volume, surface modeling defines shapes using intricate, lightweight surface layers, allowing for detailed and flexible design adjustments. It enables designers to manipulate surfaces with precision, crafting visually refined and aerodynamically optimized forms. The software typically includes tools for freeform modeling, surface continuity, and curvature control, supporting highly customized and aesthetically driven designs. Surface modeling software is essential for projects where shape, style, and performance are closely interlinked, leading to innovative and visually compelling products.
Multimodal Models
Multimodal models are artificial intelligence models capable of understanding, processing, and generating multiple types of data—including text, images, audio, video, code, and other structured or unstructured inputs—within a single unified system. These models combine information across modalities to perform tasks such as visual question answering, image generation, speech recognition, video understanding, document analysis, code generation, and conversational AI. Many multimodal models support advanced capabilities such as tool use, reasoning, AI agents, and long-context processing, enabling more natural and context-aware interactions. They are commonly available through APIs, cloud AI platforms, and open-source frameworks for use in enterprise applications, creative workflows, robotics, healthcare, education, and software development. By integrating multiple forms of information into a single model, multimodal models enable more capable, flexible, and human-like AI systems.
Foundation Models
Foundation models are large-scale artificial intelligence models trained on vast and diverse datasets that serve as the underlying technology for a wide range of AI applications. These models learn general-purpose capabilities such as language understanding, reasoning, image recognition, code generation, speech processing, and multimodal comprehension, allowing them to be adapted or fine-tuned for specific tasks across industries. Foundation models power applications including chatbots, AI agents, search, content generation, software development, scientific research, and business automation. Many are available through cloud APIs, open-source distributions, and enterprise AI platforms, supporting custom model development, retrieval-augmented generation (RAG), and domain-specific optimization. By providing reusable, general-purpose intelligence, foundation models enable organizations to accelerate AI development, reduce implementation costs, and build sophisticated AI-powered applications.
AI Models
AI models are systems designed to simulate human intelligence by learning from data and solving complex tasks. They include specialized types like Large Language Models (LLMs) for text generation, image models for visual recognition and editing, and video models for processing and analyzing dynamic content. These models power applications such as chatbots, facial recognition, video summarization, and personalized recommendations. Their capabilities rely on advanced algorithms, extensive training datasets, and robust computational resources. AI models are transforming industries by automating processes, enhancing decision-making, and enabling creative innovations.
Embedding Models
Embedding models, accessible via APIs, transform data such as text or images into numerical vector representations that capture semantic relationships. These vectors facilitate efficient similarity searches, clustering, and various AI-driven tasks by positioning related concepts closer together in a continuous space. By preserving contextual meaning, embedding models and embedding APIs help machines understand relationships between words, objects, or other entities. They play a crucial role in enhancing search relevance, recommendation systems, and natural language processing applications.
Reranking Models
Reranking models are AI models in information retrieval systems that refine the order of retrieved documents to better match user queries. Typically employed in two-stage retrieval pipelines, these models first generate a broad set of candidate documents and then reorder them based on relevance. They utilize sophisticated techniques, such as deep learning models like BERT, T5, and their multilingual variants, to capture complex semantic relationships between queries and documents. The primary advantage of reranking models lies in their ability to improve the precision of search results, ensuring that the most pertinent documents are presented to the user. However, this enhanced accuracy often comes at the cost of increased computational resources and potential latency. Despite these challenges, rerankers are integral to applications requiring high-quality information retrieval, such as question answering, semantic search, and recommendation systems.
Process Modeling Software
Process modeling tools help businesses visualize, analyze, and improve their internal workflows and operations.
Talent and Model Agency Software
Talent and model agency software is a specialized type of software designed to help talent and model agencies streamline their business management processes. It offers features such as client and talent management, scheduling, invoicing, and financial reporting. It also provides a secure platform for communication with clients, talent and other stakeholders in the agency.
Large Language Models
Large language models are artificial neural networks used to process and understand natural language. Commonly trained on large datasets, they can be used for a variety of tasks such as text generation, text classification, question answering, and machine translation. Over time, these models have continued to improve, allowing for better accuracy and greater performance on a variety of tasks.
AI Image Models
AI image models are artificial intelligence models that generate, edit, analyze, and transform images using machine learning and generative AI techniques. These models can create images from text prompts, modify existing images, perform image-to-image generation, remove or replace objects, upscale images, and understand visual content through computer vision capabilities. They leverage technologies such as diffusion models, transformers, and multimodal AI to produce realistic or stylized images for creative, commercial, and technical applications. Many AI image models are available through APIs, SDKs, and cloud platforms that integrate with design tools, content creation workflows, marketing systems, and software applications. By automating image generation and visual understanding tasks, AI image models help organizations accelerate creative production, enhance user experiences, and enable new AI-powered applications.
Small Language Models
Small Language Models (SLMs) are compact AI models designed to perform natural language understanding and generation tasks while requiring significantly fewer computational resources than large language models (LLMs). These models are optimized for low latency, lower memory usage, on-device inference, and cost-efficient deployment, making them well suited for edge devices, mobile applications, embedded systems, and enterprise workloads with strict performance or privacy requirements. SLMs can power applications such as chatbots, document summarization, code generation, classification, translation, question answering, and AI agents while delivering fast inference and reduced infrastructure costs. Many small language models are available as open-source or commercial offerings and integrate with AI frameworks, inference engines, cloud platforms, and developer tools for flexible deployment. By balancing performance, efficiency, and scalability, small language models help organizations build responsive, cost-effective AI applications across a wide range of environments.
Model Risk Management Software
Model risk management software is a comprehensive tool designed to help organizations effectively manage and mitigate the potential risks associated with their models. It uses advanced data analytics and modeling techniques to identify and evaluate potential risks, allowing businesses to make more informed decisions. Some model risk management software tools also offer AI model risk management capabilities, which enable users to assess the potential risks posed by artificial intelligence models. With its user-friendly interface and customizable features, this software provides a reliable solution for organizations looking to enhance their overall risk management processes. By utilizing this software, companies can proactively monitor and address any potential risks that may arise from their models, thus minimizing the impact on their business operations.
AI Reasoning Models
AI reasoning models are artificial intelligence models designed to perform complex problem-solving, logical reasoning, planning, and multi-step decision-making beyond traditional language generation. These models use advanced inference techniques to break down difficult tasks, evaluate alternatives, apply logic, and generate more accurate responses for domains such as mathematics, programming, scientific research, business analysis, and autonomous AI agents. AI reasoning models often support extended context windows, tool use, code execution, structured outputs, and agentic workflows to solve complex real-world problems. Many are available through APIs, cloud platforms, and AI development frameworks, enabling developers to build intelligent applications and autonomous systems. By combining language understanding with advanced reasoning capabilities, AI reasoning models help organizations improve decision-making, automate complex workflows, and power next-generation AI applications.
AI Vision Models
AI vision models, also known as computer vision models, are designed to enable machines to interpret and understand visual information from the world, such as images or video. These models use deep learning techniques, often employing convolutional neural networks (CNNs), to analyze patterns and features in visual data. They can perform tasks like object detection, image classification, facial recognition, and scene segmentation. By training on large datasets, AI vision models improve their accuracy and ability to make predictions based on visual input. These models are widely used in fields such as healthcare, autonomous driving, security, and augmented reality.
View more categories (20) for "input-output model"

52 Products for "input-output model" with 1 filter applied:

  • 1
    ObjectView

    ObjectView

    CypressLogic Systems

    ...Software Developers can streamline their development efforts by rapidly creating prototypes and methodically testing their Web services. Drag and drop Web service components into project space; ObjectView represents components as graphical objects. Link the outputs of one object to the inputs of another to create a data flow. View results by continuous refresh, mouse-over, and double-click options for each data input and output. Watch colour changes that illustrate which object is active, inactive, or failed.
  • 2
    C++

    C++

    C++

    ...|...), but once one knows the meaning of such characters it can be even more schematic and clear than other languages that rely more on English words. Also, the simplification of the input/output interface of C++ in comparison to C and the incorporation of the standard template library in the language, makes the communication and manipulation of data in a program written in C++ as simple as in other languages, without losing the power it offers. It is a programming model that treats programming from a perspective where each component is considered an object, with its own properties and methods, replacing or complementing structured programming paradigm, where the focus was on procedures and parameters.
    Starting Price: Free
  • 3
    MathJax

    MathJax

    MathJax

    ...MathJax uses CSS with web fonts or SVG, instead of bitmap images or Flash, so equations scale with surrounding text at all zoom levels. MathJax is highly modular on input and output. Use MathML, TeX, and ASCIImath as input and produce HTML+CSS, SVG, or MathML as output. MathJax works with screenreaders & provides expression zoom and interactive exploration.
    Starting Price: Free
  • 4
    jPDFProcess

    jPDFProcess

    Qoppa Software

    ...The library has a simple interface to work with PDF documents and is designed to be integrated easily and seamlessly into your PDF document workflow. jPDFProcess provides the functionality found in many of our other libraries, including printing, setting permissions and security, creating and assembling documents, digital signing, working with form fields, converting to images, extracting text and more. The library can work with PDF documents from files, URLs and input streams and can save documents to files and output streams, so it can serve documents from a J2EE application directly to a client browser without any temporary files. jPDFProcess is built on top of Qoppa’s proprietary PDF technology so no external PDF Software is required.
  • 5
    FastHook

    FastHook

    FastHook.io

    ...Route leads from Google Sheets to Slack or create Gmail drafts for follow-ups. Supported apps include Google Sheets, Slack, Gmail, Google Drive, Trello, and HubSpot. Workflow Audit shows run history, mapped inputs, outputs, errors, skipped steps, and the workflow version used. Temporary workflow action and delivery failures can be retried by the queue. Built-in webhook tools also provide configurable delivery retries, manual retry, and replay of stored requests through current routing. Receive and inspect webhook requests, filter and transform data, and review delivery attempts alongside app automation.
    Starting Price: Free
  • 6
    Radamsa

    Radamsa

    Aki Helin

    Radamsa is a test case generator for robustness testing or fuzzer. It is typically used to test how well a program can withstand malformed and potentially malicious inputs. It works by reading sample files of valid data and generating interestingly different outputs from them. The main selling points of Radamsa are that it has already found a slew of bugs in programs that actually matter, it is easily scriptable, and, easy to get up and running. Fuzzing is one of the techniques to find unexpected behavior in programs. ...
    Starting Price: Free
  • 7
    Imagica

    Imagica

    Imagica

    ...Create thinking apps with real-world impact. Build functional apps without writing a single line of code. Add sources of truth for accurate results with URLs or drag and drop. Use any input or output, including text, images, video and 3D models. Create ready-to-use interfaces that can be published immediately. Build apps that act in the real world with 4 million functions. Turn your app into a business with one click to generate immediate revenue. Submit your app to Natural OS and start serving millions of user requests. ...
  • 8
    Weave

    Weave

    WorkWeave

    ...We’ve developed a custom model that directly analyzes code and its impact, with a far better 0.94 correlation. We've created a standardized engineering output metric that doesn’t reward vanity. Even better, you can benchmark your team’s output against peers while keeping everything private.
    Starting Price: $0
  • 9
    Membrane Framework

    Membrane Framework

    Software Mansion

    ...It gives developers a flexible way to build multimedia solutions by composing pipelines from elements, bins, and plugins that handle formats, codecs, protocols, containers, and external APIs. Membrane Framework can be used to implement WebRTC SFU architectures with modular input and output, making it suitable for applying processing, dumping media at any stage, or creating additional non-WebRTC outputs. Because Membrane is built in Elixir, its pipelines can benefit from scalability, fault tolerance, and easy integration into existing Elixir applications, including Phoenix-based web servers. It supports server-side processing, transcoding, monitoring utilities, real-time communication, and custom media workflows where developers need more control.
  • 10
    IDLE

    IDLE

    Python

    ...IDLE has the following features: - coded in 100% pure Python, using the tkinter GUI toolkit - cross-platform: works mostly the same on Windows, Unix, and macOS - Python shell window (interactive interpreter) with colorizing of code input, output, and error messages - multi-window text editor with multiple undo, Python colorizing, smart indent, call tips, auto completion, and other features - search within any window, replace within editor windows, and search through multiple files (grep) - debugger with persistent breakpoints, stepping, and viewing of global and local namespaces - configuration, browsers, and other dialogs
    Starting Price: Free
  • 11
    Doc-O-Matic

    Doc-O-Matic

    Doc-O-Matic

    Use Doc-O-Matic to effortlessly and reliably create source code and API documentation and author general purpose documentation in a multitude of formats and styles in the shortest possible time. Doc-O-Matic takes source code and comments, adds conceptual topics and external input and produces documentation from it. With its single-source approach, Doc-O-Matic generates many different kinds of output from a single documentation base. Doc-O-Matic produces HTML-based Help files including HTML Help, Help 2, Help Viewer 2.x and browser based Web Help. Doc-O-Matic also creates printable documentation in PDF and RTF formats as well as XML output ideally suited for post-processing. ...
    Starting Price: $49 per user
  • 12
    Hex

    Hex

    Hex

    ...The outline provides an easy-to-browse overview of all the cells in a project's Logic View. Every cell in the outline lists the variables it defines, and cells that return a displayed output (chart cells, Input Parameters, markdown cells, etc.) display a preview of that output. You can click any cell in the outline to automatically jump to that position in the logic.
    Starting Price: $24 per user per month
  • 13
    Core ML

    Core ML

    Apple

    Core ML applies a machine learning algorithm to a set of training data to create a model. You use a model to make predictions based on new input data. Models can accomplish a wide variety of tasks that would be difficult or impractical to write in code. For example, you can train a model to categorize photos or detect specific objects within a photo directly from its pixels. After you create the model, integrate it in your app and deploy it on the user’s device. ...
  • 14
    Echidna

    Echidna

    Crytic

    ...It uses sophisticated grammar-based fuzzing campaigns based on a contract ABI to falsify user-defined predicates or Solidity assertions. We designed Echidna with modularity in mind, so it can be easily extended to include new mutations or test specific contracts in specific cases. Generates inputs tailored to your actual code. Optional corpus collection, mutation and coverage guidance to find deeper bugs. Powered by Slither to extract useful information before the fuzzing campaign. Source code integration to identify which lines are covered after the fuzzing campaign. Interactive terminal UI, text-only or JSON output. Automatic test case minimization for quick triage. ...
    Starting Price: Free
  • 15
    Meshy

    Meshy

    Meshy

    Meshy is a 3D generative AI production suite. Use our AI texturing and AI modeling tools to accelerate 3D content creation. Our AI texturing tool allows artists to choose either text prompts or 2D concept art, as well as an untextured model as input. AI will do the automatic texturing for your model in less than 3 minutes. With our art-directable AI modeling tool, artists can easily craft 3D models from reference images or text prompts, without having to use 3D sculpting or scanning tools like ZBrush or RealityCapture, while still generating impressive, high-poly 3D models. ...
  • 16
    aligned elements
    ...Aligned products, designed for collaboration between quality, regulatory, R&D, and management teams, combines a complete electronic Quality Management System with deep Design Control functionality in one fully integrated environment. Design inputs, outputs, verification, validation, risk management, and change control are natively connected to the QMS, ensuring end to end traceability that stands up to audits and inspections.
    Starting Price: €1300 per year
  • 17
    ILLA Cloud

    ILLA Cloud

    ILLA Cloud

    Accelerate your internal tools development. A low-code platform for developers to build internal tools in minutes. With the SQL Generate feature, you can input natural language and get SQL statements that can be run directly. This works in databases like MySQL, Postgre, Supabase, etc. We offer developers a high degree of freedom to implement richer functionality through JavaScript, wrapping JS statements with {{Template Syntax}} to place at any string type variable spaces for more variety in the output. ...
    Starting Price: $10 per editor per month
  • 18
    Flyde

    Flyde

    Flyde

    Built on a functional-reactive foundation, Flyde enables more than simple input/output flows. It supports everything you'd expect from a textual-based language; recursions, loops, and conditionals. Unlock new ways to think about, and debug your programs. Have an always-correct diagram of your program. Flyde’s flow-based, visual approach makes asynchronous and concurrent tasks simpler and more intuitive. In Flyde, nothing is hidden.
    Starting Price: Free
  • 19
    Kiota

    Kiota

    Microsoft

    ...The VS Code extension enhances the Kiota experience with a rich user interface, supporting features such as searching for API descriptions, filtering endpoints, and generating API clients. Users can select desired endpoints and generate clients, plugins, or other outputs, with completion notifications and easy access to generated outputs within the workspace.
    Starting Price: Free
  • 20
    Supadev

    Supadev

    Supadev

    Supadev is described as an AI-optimized documentation tool that helps make AI coding assistants reliably understand your project context so that generated code works well on the first try. It lets you describe your project (the tech stack, architecture, design constraints, etc.), then generates a set of comprehensive documents, such as project requirements, frontend/backend structure, security guidelines, and implementation plans, that serve as clear blueprints for AI tools. These docs...
    Starting Price: $12 per month
  • 21
    Ordo Studio

    Ordo Studio

    Normal Systems

    ...It eases and speeds up the writing process for complex document packages, whilst giving tools to users helping them identify gaps and potential improvements in their data and documents. Behind every feature and interaction is a multi-agent system — orchestrating tuned specialist models. Users can also generate complete document packages in one click with Ordo Blueprints. Blueprints are powerful, declarative automations which you can build from scratch for your use-cases or simply import from a library. Blueprints let you define outputs and constraints - structure and substance of your output documents, evaluation criteria, and process-specific data. ...
    Starting Price: $0
  • 22
    CAD6engine

    CAD6engine

    Malz++Kassner GmbH

    Use CAD6engine as your programming library (SDK) to output technical and financial data, raster images, process and text information, SVG graphics, or the content of DWG and DXF files to high-quality PDF files (of course without using the limited Windows printer interface or GDI). Create high-resolution PDFs with Unicode texts, layers, transparencies, and support for various colors models (RGB/HSB, CMYK, gray, CIELab).
    Starting Price: 195 EUR per 10 users
  • 23
    FastRouter

    FastRouter

    FastRouter

    FastRouter is a unified API gateway that enables AI applications to access many large language, image, and audio models (like GPT-5, Claude 4 Opus, Gemini 2.5 Pro, Grok 4, etc.) through a single OpenAI-compatible endpoint. It features automatic routing, which dynamically picks the optimal model per request based on factors like cost, latency, and output quality. It supports massive scale (no imposed QPS limits) and ensures high availability via instant failover across model providers. ...
  • 24
    Interval

    Interval

    Interval

    Interval generates full web apps just from backend Node.js or Python code. If you love writing code but hate building UIs, you'll love building with Interval. Interval introduces a new programming model for building UIs. Simply make Interval SDK calls alongside your business logic, and Interval automatically produces UIs in your browser. Interval's component library compresses the tedious work of building and wiring up UIs for your tools into simple async method calls placed within your business logic. Interval automatically validates input in the UI and on the backend. ...
    Starting Price: $10 per user per month
  • 25
    AWS Step Functions
    AWS Step Functions is a serverless function orchestrator that makes it easy to sequence AWS Lambda functions and multiple AWS services into business-critical applications. Through its visual interface, you can create and run a series of checkpointed and event-driven workflows that maintain the application state. The output of one step acts as an input to the next. Each step in your application executes in order, as defined by your business logic. Orchestrating a series of individual serverless applications, managing retries, and debugging failures can be challenging. As your distributed applications become more complex, the complexity of managing them also grows. ...
    Starting Price: $0.000025
  • 26
    Solidity Fuzzing Boilerplate
    ...Fuzz components that use incompatible Solidity versions by deploying those into a Ganache instance via Etheno. Use HEVM's FFI cheat code to generate complex fuzzing inputs or to compare outputs with non-EVM executables while doing differential fuzzing. Publish your fuzzing experiments without worrying about licensing by extending the shell script to download specific files. Turn off FFI if you don't intend to make use of shell commands from your Solidity contracts. Note that FFI is slow and should only be used as a workaround. ...
    Starting Price: Free
  • 27
    FuelPHP

    FuelPHP

    FuelPHP

    ...It was born out of the frustrations people have with the currently available frameworks and developed with support from a community of developers. FuelPHP is extremely portable, works on almost any server, and prides itself on clean syntax. FuelPHP is an MVC (Model View Controller) framework that was designed from the ground up to have full support for HMVC as part of its architecture. But we didn't stop there, we also added ViewModels (also known as presentation models) into the mix which gives you the option to add a powerful layer between the controller and the view. FuelPHP also supports a more router-based approach where you might route directly to a closure which deals with the input URI, making the closure the controller and giving it control of further execution.
    Starting Price: Free
  • 28
    Aspose.TeX for .NET
    Aspose.TeX for .NET is a library that provides a TeX engine extension called ObjectTeX. It can be used to typeset documents described by TeX files. “Object” means that intermediary typesetting result is a specific object model which then can be uniformly converted into a number of end formats. Aspose.TeX for .NET is a flexible and easy-to-use library to typeset TeX and LaTeX files. API supports multiple output formats like XPS, PDF, PNG, JPEG, TIFF, SVG, BMP. It meant that with the functionality of this library you can convert TeX and LaTeX files to any of the output formats. ...
    Starting Price: $399 per year
  • 29
    Context

    Context

    Context

    Context is a secure, AI-driven office suite that consolidates your chats, documents, spreadsheets, tickets, and data sources into a single workspace, turning scattered inputs into polished, presentation-ready deliverables. It offers built-in editors for presentations, documents, and spreadsheets, powered by deep research capabilities that ground every output in your data and use case. With one click, Context generates client-ready slides, formats and edits handoff-ready reports, and cleans up spreadsheets. ...
    Starting Price: $20 per month
  • 30
    8090 Software Factory
    ...The platform uses agent-assisted workspaces to refine requirements, architecture, and execution plans. Software Factory ensures teams build the right thing before writing code. Structured planning gives AI agents the context needed to generate accurate and aligned outputs. Built-in feedback validation converts real-world input into actionable development tasks. Software Factory streamlines software delivery from strategy to production.
    Starting Price: $200/seat/month
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