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Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.
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Miro is an Innovation Workspace built to accelerate product development from insight to execution. Designed for teams operating in fast-moving, cross-functional environments, Miro brings together research, planning, prototyping, and strategy into one visual, collaborative space. Miro supports every phase of the product development lifecycle — from early discovery and journey mapping to sprint planning, design reviews, and scaled Agile workshops. And with AI features like clustering, summarization, and Sidekicks embedded directly into the canvas, teams can synthesize feedback, generate product briefs, and align on roadmaps in a fraction of the time. Two-way Jira integration and customizable Agile templates make it easy to manage end-to-end workflows, while supporting rituals like sprint planning, daily standups, and retrospectives. Whether you’re mapping product strategy or testing early prototypes, Miro helps teams collapse planning steps and drive innovation faster — all within a secure, flexible workspace.
Meshy.ai is a web-based generation service that allows users to quickly create high-quality 3D models from text and images. It supports seamless integration with industry-standard software like Blender, Unity and ZBrush, making it ideal for applications in gaming, film, and animation. Meshy offers multiple export formats, including FBX, OBJ, STL, BLEND, and USDZ, ensuring compatibility with various workflows. With its intuitive interface and rapid generation capabilities, Meshy simplifies the 3D modeling process, empowering creators to unleash their creativity.
Workvivo is an internal communication and engagement platform that is designed to bring what’s happening in the organisation alive in a fun, intuitive and highly engaging way, while at the same time being structured completely around what the organisation is trying to achieve and connecting employees to this.
Creately has more than 50 types of diagrams, real-time collaboration and projects and thousands of examples and libraries.
Making big data simple
Domo is an agentic platform for the intelligent enterprise that helps organizations build, manage, and distribute AI-powered solutions using governed business data. The platform brings together three core capabilities: a data foundation to connect and govern enterprise data, an activation layer to build AI agents, apps, workflows, and analytics, and a distribution layer to deliver intelligence where people work. Designed for enterprises, Domo works with existing cloud data platforms such as Snowflake, BigQuery, and Databricks, as well as other business systems and apps. Organizations use Domo to connect data from across their business, apply governance and security controls, build AI-powered solutions, and deliver insights through dashboards, embedded apps, mobile experiences, and AI assistants. Domo combines three core capabilities: data foundation, activation, and distribution: 1. The data foundation connects and governs enterprise data across cloud data platforms and business systems. 2. The activation layer enables teams to build AI agents, apps, workflows, automations, and analytics on top of governed data. 3. The distribution layer delivers intelligence where users work, including dashboards, embedded apps, mobile experiences, and AI assistants using Model Context Protocol (MCP). Governance, security, and access controls support all three layers to help organizations scale AI and data initiatives with trust. Common use cases for Domo include AI agents and apps, business intelligence, operational analytics, executive reporting, embedded analytics, AI-powered workflows, and custom data apps. The platform supports both technical teams and business users with low-code and pro-code development options for building and sharing AI-powered solutions across the enterprise.
Canopy Tax is making taxes dead simple for small businesses and their advisors. They looked at the tax industry and saw a stale, outdated industry, and now we're shaking it up. Canopy is a simple, yet robust tax resolution and practice management software. It introduces online client surveys for auto-population of IRS forms, smart tax analytics, a dynamic client portal, and more.
As a cloud-native AI, analytics and data management platform, SAS Viya enables you to scale cost-effectively, increase productivity and innovate faster, backed by trust and transparency. SAS Viya makes it possible to integrate teams and technology enabling all users to work together successfully to turn critical questions into accurate decisions.
MATLAB is a high-level programming and numeric computing environment widely utilized by engineers and scientists for data analysis, algorithm development, and system modeling. It offers a desktop environment optimized for iterative analysis and design processes, coupled with a programming language that directly expresses matrix and array mathematics. The Live Editor feature enables users to create scripts that integrate code, output, and formatted text within an executable notebook. Key Features and Functionality: - Data Analysis: Tools for exploring, modeling, and analyzing data. - Graphics: Functions for visualizing and exploring data through various plots and charts. - Programming: Capabilities to create scripts, functions, and classes for customized workflows. - App Building: Facilities to develop desktop and web applications. - External Language Interfaces: Integration with languages such as Python, C/C++, Fortran, and Java. - Hardware Connectivity: Support for connecting MATLAB to various hardware platforms. - Parallel Computing: Ability to perform large-scale computations and parallelize simulations using multicore desktops, GPUs, clusters, and cloud resources. - Deployment: Options to share MATLAB programs and deploy them to enterprise applications, embedded devices, and cloud environments. Primary Value and User Solutions: MATLAB streamlines complex mathematical computations and data analysis tasks, enabling users to develop algorithms and models efficiently. Its comprehensive toolboxes and interactive apps facilitate rapid prototyping and iterative design, reducing development time. The platform's scalability allows for seamless transition from research to production, supporting deployment on various systems without extensive code modifications. By integrating with multiple programming languages and hardware platforms, MATLAB provides a versatile environment that addresses the diverse needs of engineers and scientists across industries.