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Windows Server 2012 R2 with Support by Supported Images is a pre-configured Amazon Machine Image (AMI) that enables users to deploy Windows Server 2012 R2 instances on Amazon Web Services (AWS) infrastructure. This AMI includes essential AWS drivers and tools, ensuring seamless integration with AWS services. It is designed to provide a stable and secure environment for running Windows-based applications in the cloud. Key Features and Functionality: - Pre-Configured AMI: The image comes with Windows Server 2012 R2 pre-installed, allowing for quick deployment without manual setup. - AWS Integration: Includes AWS-specific drivers and tools, such as EC2Config, to facilitate smooth operation within the AWS ecosystem. - Security Updates: Regularly updated to include the latest security patches, ensuring a secure operating environment. - Scalability: Supports various AWS instance types, enabling users to scale resources according to their needs. Primary Value and User Solutions: This product simplifies the process of deploying Windows Server 2012 R2 on AWS by providing a ready-to-use image that integrates seamlessly with AWS services. It addresses the need for a reliable and secure Windows environment in the cloud, reducing the time and effort required for setup and maintenance. Users benefit from the flexibility and scalability of AWS infrastructure while leveraging the familiar Windows Server platform.

The Ansible Control Node on Debian 10 is a pre-configured Amazon Machine Image (AMI) designed to provide a robust and efficient environment for automating IT tasks. Leveraging Ansible's powerful automation capabilities, this solution enables seamless configuration management, application deployment, and orchestration across diverse infrastructures. Built upon the stable and secure Debian 10 operating system, it offers an optimized platform for DevOps practitioners and system administrators to streamline operations and enhance productivity. Key Features and Functionality: - Debian 10 Base: Provides a stable and secure foundation suitable for enterprise environments. - Pre-installed Ansible: Allows immediate use with Ansible pre-installed and configured for convenience. - Agentless Architecture: Manages remote systems without the need for additional software on managed nodes, reducing complexity. - Extensive Module Library: Offers a wide range of modules to manage various services, applications, and systems. - Playbooks and Roles: Supports YAML-based playbooks and reusable roles for creating repeatable automation processes. Primary Value and Problem Solved: This solution addresses the challenges of managing complex IT infrastructures by automating repetitive tasks, ensuring configuration consistency, and facilitating rapid deployment. By providing a ready-to-use Ansible environment on Debian 10, it reduces setup time and operational overhead, allowing teams to focus on strategic initiatives. The agentless architecture simplifies management across diverse systems, enhancing scalability and reliability. Overall, it empowers organizations to achieve efficient, consistent, and secure IT operations.

TurnKey Odoo is a pre-configured, ready-to-run image of the Odoo open-source ERP and CRM platform, designed for seamless deployment on Amazon Web Services (AWS). This solution enables businesses to efficiently manage various operations, including sales, supply chain, finance, and project management, through a unified system. Key Features and Functionality: - Comprehensive Business Management: Integrates multiple business functions such as CRM, accounting, inventory, and human resources into a single platform. - Pre-Configured and Secure: Comes with Odoo 16 and a locked-down PostgreSQL database, all powered by a Docker Stack, ensuring a secure and production-ready environment. - Modular Design: Offers a wide range of fully-integrated apps that can be deployed with a single click, allowing businesses to customize the platform according to their specific needs. - Scalability: Built on AWS infrastructure, providing the flexibility to scale resources up or down based on business requirements. Primary Value and User Benefits: TurnKey Odoo simplifies the deployment of a robust ERP and CRM system by offering a pre-configured solution that reduces setup time and technical complexity. By consolidating various business operations into a single platform, it enhances operational efficiency, data consistency, and decision-making processes. The modular nature of Odoo allows businesses to tailor the system to their unique requirements, while the scalability of AWS ensures that the solution can grow alongside the business.

The LAMP Stack PHP 7.4 is a pre-configured Amazon Machine Image (AMI) designed to facilitate the rapid deployment of web applications on AWS. It integrates the Linux operating system, Apache web server, MariaDB database, and PHP 7.4, providing a robust and secure environment for developers. This AMI is built on Amazon Linux 2, ensuring compatibility and stability for various web projects. Key Features and Functionality: - PHP 7.4: Offers improved performance and new features for modern web development. - Apache 2.4: A widely-used web server known for its reliability and flexibility. - MariaDB 10.4: An open-source relational database management system, serving as a drop-in replacement for MySQL. - phpMyAdmin 5.1: A web-based tool for managing MariaDB databases with an intuitive interface. - Amazon Linux 2: Provides a secure and stable operating system environment with long-term support. Primary Value and User Solutions: This LAMP Stack AMI simplifies the setup process for developers by offering a ready-to-use environment, reducing the time and effort required for configuration. It addresses common challenges in deploying web applications by ensuring that all components are properly installed, configured, and secured. With this AMI, users can focus on developing and deploying their applications without worrying about the underlying infrastructure, leading to increased productivity and faster time-to-market.

The "Python 3.8 with Ubuntu 18.04 LTS" Amazon Machine Image (AMI) offers a pre-configured environment combining Python 3.8 with Ubuntu 18.04 LTS, facilitating the rapid deployment of Python applications on AWS. This AMI is designed to streamline the setup process, allowing developers to focus on building and deploying applications without the overhead of manual configuration. Key Features and Functionality: - Pre-Installed Python 3.8: Provides immediate access to Python 3.8, enabling the development and execution of Python applications without additional installation steps. - Ubuntu 18.04 LTS Base: Utilizes the stable and secure Ubuntu 18.04 LTS operating system, ensuring compatibility with a wide range of software packages and long-term support. - AWS Integration: Optimized for deployment on Amazon EC2 instances, offering seamless integration with AWS services and infrastructure. - Support Services: Includes remote support from Fifty Clouds, providing assistance with setup, configuration, and troubleshooting. Primary Value and User Solutions: This AMI addresses the common challenges associated with setting up a Python development environment by offering a ready-to-use solution. Users benefit from reduced setup time, consistent configurations, and the reliability of a maintained and supported image. By leveraging this AMI, developers can accelerate their project timelines, ensure system stability, and focus more on application development rather than environment configuration.

AISE TensorFlow 1.10 Python 2.7 CPU MKL Production is a pre-configured Amazon Machine Image (AMI) designed to provide a robust and efficient environment for developing and deploying machine learning models. This AMI integrates TensorFlow 1.10, Python 2.7, and Intel's Math Kernel Library (MKL to optimize performance on CPU-based instances. It offers a stable and production-ready setup, enabling users to focus on building and training models without the overhead of manual configuration. Key Features and Functionality: - Pre-Configured Environment: Includes TensorFlow 1.10 and Python 2.7, eliminating the need for manual installation and setup. - Intel MKL Integration: Utilizes Intel's Math Kernel Library to enhance computational performance on CPU instances. - Stability and Support: Provides a stable, production-ready environment with long-term support and updates. - Development Tools: Comes with essential development tools, including a C compiler and build utilities, facilitating seamless development workflows. Primary Value and Problem Solved: This AMI addresses the challenge of setting up a high-performance, CPU-optimized environment for machine learning tasks. By integrating TensorFlow with Intel MKL, it significantly improves the efficiency of training and inference processes on CPU instances. Users benefit from a ready-to-use, stable platform that reduces setup time and allows them to concentrate on developing and deploying machine learning models effectively.

Resolve247.ai is an AI-powered customer support platform designed to enhance efficiency and responsiveness for businesses. By integrating seamlessly with existing workflows, it offers two primary tools: AIChatbot and ResponseAssistant. Key Features and Functionality: - AIChatbot: Provides instant, 24/7 answers to customer inquiries by training on your website or knowledge base. It integrates with existing ticketing systems, ensuring continuity without the need for system changes. The chatbot is equipped with an anti-hallucination guarantee, ensuring accurate responses, and can be set up in minutes. - ResponseAssistant: Automatically drafts responses within your existing inbox, utilizing data from all your sites and previous communications. It adapts to your company's tone of voice, providing ready-to-send drafts that maintain brand consistency. Primary Value and Solutions: Resolve247.ai addresses common challenges in customer support by significantly reducing the volume of support tickets and the workload on support teams. By automating responses to repetitive inquiries, it allows human agents to focus on more complex issues, enhancing overall productivity. The platform's tools ensure that customers receive prompt and accurate answers, leading to higher satisfaction rates. Additionally, its easy integration and quick setup mean businesses can implement these solutions without disrupting existing operations.

RunwayCal is a connected financial planning operating system for growing businesses. It brings cash, commitments, revenue, teams, budgets, deals and scenarios into one connected financial picture, helping business owners and finance teams understand what's happening now, what's coming next, and how decisions could change the business. RunwayCal helps businesses move beyond disconnected spreadsheets and financial dashboards by connecting planning across the business. Teams can monitor cash and runway, model revenue, plan commitments and payroll, build budgets, explore scenarios, track deals and expected revenue, and understand financial performance across multiple locations. Key capabilities include: • Cash and runway visibility • Revenue modeling and planning • Commitment and expense planning • Team and payroll planning • Budgeting • Scenario planning • Deals and expected revenue tracking • Multi-location financial planning and consolidation • Financial statements and exports RunwayCal is designed for growing businesses and the people who help run their finances, including business owners and founders, finance teams and CFOs, fractional CFOs, bookkeepers and operators. It supports businesses across SaaS and software, agencies and consulting, healthcare and clinics, retail, manufacturing, food & beverage, and logistics. Turn your financial reality into better business decisions.

monroya.ai shows B2B companies where they appear — and where they don't — in AI-generated responses across ChatGPT, Claude, Gemini, and Perplexity. The platform tracks the questions buyers actually ask AI tools at each stage of the purchase decision: Discovery (what solutions exist), Evaluation (comparing vendors), and Decision (validating the final choice). Each tracked prompt runs multiple times per provider to account for response variance, producing an AI Share of Voice metric that compares your visibility against named competitors at every stage. Where monroya.ai differs from monitoring-only tools: every visibility gap becomes a prioritized action with the content already drafted — comparison pages, FAQ sections, schema markup, Reddit replies. After an action is completed, the platform automatically rescans to verify whether it changed your AI visibility, measured in percentage points against the pre-action baseline. Built for marketing teams at B2B companies who need to know what AI tells their buyers before those buyers ever reach the website. Includes: buyer journey stage tracking across four AI providers, competitor comparison at the prompt level, AI-generated content drafts for every recommended action, automated follow-up verification scans, site audits for AI citability, and weekly briefings on competitor movement in AI responses.

PostgreSQL on CentOS 6 is a pre-configured Amazon Machine Image (AMI) that combines the robust, open-source PostgreSQL database management system with the stability and reliability of CentOS 6. This AMI enables users to quickly deploy a fully operational PostgreSQL environment on Amazon Web Services (AWS), facilitating efficient data management and application development. Key Features and Functionality: - Pre-Configured Environment: The AMI comes with PostgreSQL installed and configured on CentOS 6, reducing setup time and complexity. - Scalability: Leverage AWS's scalable infrastructure to handle varying workloads and data volumes effectively. - Security: Benefit from CentOS 6's security features and the ability to configure PostgreSQL's access controls to safeguard your data. - Flexibility: Customize the database environment to meet specific application requirements, including tuning performance parameters and adding extensions. Primary Value and Problem Solved: This AMI addresses the challenge of setting up a reliable and efficient database system by providing a ready-to-use PostgreSQL environment on CentOS 6. It eliminates the need for manual installation and configuration, allowing developers and businesses to focus on building and deploying applications without worrying about the underlying database infrastructure. By leveraging AWS's cloud capabilities, users can achieve high availability, scalability, and security for their database needs.

AISE PyTorch 0.4.1 Python 2.7 CUDA 9.2 Production is a pre-configured and fully integrated software stack designed for machine learning applications. It combines PyTorch 0.4.1, Python 2.7, and CUDA 9.2, providing a stable and optimized environment for developing and deploying deep learning models. This stack is tailored for high-performance tasks, ensuring compatibility and efficiency in both training and inference processes. Key Features and Functionality: - Pre-configured Environment: The stack comes fully integrated with PyTorch 0.4.1, Python 2.7, and CUDA 9.2, eliminating the need for manual setup and configuration. - High-Performance Execution: Optimized for both short and long-running tasks, the environment ensures efficient utilization of computational resources, particularly when leveraging GPU acceleration. - Stability and Reliability: Designed for production use, the stack offers a stable platform with long-term support and regular updates, ensuring consistent performance over time. Primary Value and Problem Solved: AISE PyTorch 0.4.1 Python 2.7 CUDA 9.2 Production addresses the complexities associated with setting up a compatible and efficient deep learning environment. By providing a ready-to-use, optimized stack, it allows developers and data scientists to focus on building and deploying machine learning models without the overhead of configuring and maintaining the underlying infrastructure. This solution is particularly beneficial for tasks requiring GPU acceleration, offering a seamless and efficient platform for deep learning applications.

The AISE PyTorch 0.4.1 Python 2.7 CUDA 9.2 Notebook is a pre-configured Amazon Machine Image (AMI) designed to facilitate deep learning development on AWS. It integrates PyTorch 0.4.1, Python 2.7, and CUDA 9.2, providing a ready-to-use environment for machine learning practitioners. This setup enables users to leverage GPU acceleration for training and deploying deep learning models efficiently. Key Features and Functionality: - Pre-Configured Environment: Combines PyTorch 0.4.1, Python 2.7, and CUDA 9.2, eliminating the need for manual installation and configuration. - GPU Acceleration: Utilizes CUDA 9.2 to harness GPU capabilities, significantly enhancing computational performance for deep learning tasks. - Jupyter Notebook Integration: Includes Jupyter Notebook, offering an interactive platform for coding, visualization, and documentation. - Amazon Linux 2018.03.0: Operates on a stable and secure Linux distribution, ensuring compatibility and reliability. Primary Value and Problem Solved: This AMI addresses the complexities associated with setting up a deep learning environment by providing a fully integrated and optimized platform. Users can focus on developing and training models without the overhead of configuring software dependencies. The inclusion of GPU support through CUDA 9.2 ensures faster execution times, making it ideal for computationally intensive tasks in machine learning and artificial intelligence projects.

myDBA is a purpose-built PostgreSQL monitoring platform that goes beyond dashboards to deliver actionable diagnostics. A lightweight Go collector streams metrics from your PostgreSQL instances with under 1% CPU overhead, feeding 75+ automated health checks that score your database across 12 domains — each finding includes a priority ranking and a ready-to-run SQL fix script. Key capabilities include automatic EXPLAIN plan collection with plan regression detection, a cluster-aware index advisor that aggregates usage across primaries and replicas before recommending changes, lock chain visualization, wait event heatmaps, XID wraparound tooling with recovery script generation, and schema diff with auto-generated ALTER statements. myDBA is the only PostgreSQL monitor with dedicated extension support — pgvector (index analysis, settings audit, tuning recommendations), TimescaleDB (hypertable monitoring, compression analytics, continuous aggregates), PostGIS (geometry quality metrics, spatial index analysis, anti-pattern detection), pg_cron, and pg_partman. The free tier includes every feature with no paywalls — 1 primary, 1 replica, and 7-day retention. Pro plans start at £50/server/month. Supports self-hosted PostgreSQL, AWS RDS, Aurora, Azure, and Google Cloud SQL.

The Optimized LAMP Stack PHP 7 by Jetware is a pre-configured and performance-enhanced environment designed for web applications. It integrates the latest PHP 7 running as `mod_php`, Apache HTTP Server, and MariaDB, all within an HTTPS-enabled setup utilizing a self-signed SSL certificate. Key Features and Functionality: - Apache HTTP Server 2.4.26: A robust and widely-used web server ensuring reliable request handling. - MariaDB 10.2.6: A high-performance, open-source relational database management system. - PHP 7.1.6: The latest PHP version offering significant performance improvements and new features. - Self-Signed SSL Certificate: Enables HTTPS for secure communication between clients and the server. - phpMyAdmin 4.7.2: A web-based interface for efficient database management. - Memcached 1.4.36 and Redis 3.2.9: In-memory data stores for caching, enhancing application speed and scalability. Primary Value and User Solutions: This optimized LAMP stack provides developers with a ready-to-use, secure, and high-performance environment for deploying PHP-based web applications. By integrating the latest software versions and performance enhancements, it reduces setup time and ensures applications run efficiently. The inclusion of caching mechanisms like Memcached and Redis further boosts performance, while the self-signed SSL certificate facilitates secure communications. Overall, it streamlines the development and deployment process, allowing developers to focus on building robust applications.

Birlasoft CXSPRINT for SAP Commerce Cloud is a rapid deployment solution designed to help businesses implement SAP Commerce Cloud efficiently and cost-effectively. This offering provides a fully functional B2B or B2C commerce storefront, including core integrations, enabling organizations to establish a robust online presence swiftly. By leveraging pre-built features and a streamlined approach, CXSPRINT reduces implementation time and minimizes risks associated with complex e-commerce projects. Key Features and Functionality: - Pre-Built Commerce Storefront: Offers a ready-to-use B2B or B2C commerce site with essential integrations, facilitating quick deployment. - Fixed-Price, Fixed-Packaging: Provides a cost-effective solution with predictable pricing, reducing financial uncertainties. - Rapid Implementation: Enables businesses to go live with their e-commerce platform in as little as 12 weeks, accelerating time-to-market. - Standardized Solution: Delivers a consistent and reliable commerce platform, ideal for organizations seeking a standardized approach. Primary Value and Problem Solved: CXSPRINT addresses common challenges in SAP Commerce Cloud implementation, such as high costs, extended timelines, and complex configurations. By offering pre-built functionalities and a streamlined deployment process, it reduces expenses, accelerates the launch of online stores, and minimizes project risks. This solution empowers businesses to enhance customer experiences and drive sales growth effectively.

Skale is an AI-search-first organic growth agency for SaaS and tech brands. We work across every platform where buyers discover and evaluate software and technology: Google, Reddit, YouTube, and AI search engines like Claude, ChatGPT and Gemini. AI search and Google SEO aren't separate disciplines. They're one system, and optimizing for one strengthens the other. Brands that pick just one are working against how buyers act. - GET YOU INTO THE ANSWER We earn your place in the AI answers, communities and third-party sources buyers trust while they're still deciding who to consider. - MAKE YOUR SITE BACK IT UP What buyers find on your site has to confirm what convinced them elsewhere. AI engines check for that same consistency before they'll recommend you at all. - PROVE IT IN REVENUE We reverse-engineer every engagement from the outcome you're chasing, then report it in SQLs, pipeline and new MRR. WHAT WE DO - AI search and SEO consultancy - AI brand mentions - Link building - Content production WHO WE WORK WITH - SaaS and tech companies from Series A onward, in cybersecurity and compliance, fintech, dev tools and APIs, martech, HR tech and AI automation.

Sextant AEO audits how AI engines describe a brand: ChatGPT, Perplexity, Gemini, Claude, and Grok in every audit, plus Google AI Overviews in daily monitoring, and scores it across five weighted dimensions: brand recognition, market position, presence quality, sentiment, and share of voice. Every audit runs up to 40 prompts across 3 samples per engine, and every page an engine cites gets fetched and passage-checked instead of only counted. Where most tools stop at a dashboard, Sextant's Fix-It layer generates the actual deployment-ready artifact for each gap it finds: FAQPage and Organization schema, author/Person markup, blog title and H2 rewrites in AI-query format, and ready-to-submit G2/Clutch profile drafts: copy-paste fixes, not advice. The platform is white-label for agencies: agency admins see only their own clients, clients see only their own brand, and reports carry the agency's logo and colors. Sextant AEO also runs the Sextant AEO Certification Standard (SACS), a public, checkable bar for AI visibility rather than a vendor's own claim about it. Pricing: a direct brand plan at $49.95/month; agency plans at $349, $899, and $1,999/month (5, 15, and 40 monitored clients); per-client add-ons from $99 falling to $45 at volume, with a brand's first client free.

Breakreach is a social media scheduler built around the AI assistants you already use. Connect your accounts once, then ask ChatGPT or Claude to write, schedule or publish your posts, answer comments and see what performed, through the official Breakreach connector. Everything lands on one calendar that you can also use directly. Supported networks (12): X, Instagram, TikTok, Facebook, Threads, LinkedIn, YouTube, Pinterest, Bluesky, Reddit, Telegram and Discord. Features: - Schedule, publish now or save drafts on every network, with a posting schedule that fills the next free slot - Works inside ChatGPT and Claude (listed in both connector directories), and in Cursor or any MCP client - Comments: read and reply on Instagram, Facebook, Threads, X and YouTube, hide or delete spam - Direct messages on Instagram, Facebook Messenger and X - Analytics: per-post performance, account stats and daily trends - REST API and MCP server for developers and AI agents Pricing: Starter $29/month (5 social accounts), Pro $49/month (15), Agency $99/month (50), or $23, $39 and $79/month billed yearly. The ChatGPT and Claude connector and the API are included in every plan. A Developer plan for API use is free for the first 2 accounts, then $5 down to $2 per account per month.

For small and mid-sized credit unions, we offer the CruiseNet platform, a Windows-based core using the latest .NET technology.

Enrich.org offers holistic workplace financial wellness programs to employers, organizations, financial institutions, credit unions, and Financial Advisers.