Business Software for Microsoft Azure

Silcube is an innovative, cloud-based platform powered by AI, tailored for professionals dealing with private debt to facilitate loan origination, covenant monitoring, payment management, and the reporting of both financial and non-financial metrics. By centralizing the entire loan management process from inception to maturity, it efficiently models payment schedules, securely stores documents with version control and limited access, automates invoicing and reconciliation, and adjusts calculations when terms change, while also keeping track of credit facility usage, collateral market value to loan-to-value ratios, and overall exposures. Utilizing advanced AI for document analysis, Silcube ensures that covenants are consistently monitored, and it offers extensive reporting capabilities—including customizable dashboards, fact sheets, exposure metrics, cash flow analyses, and profitability reports—for stakeholders, risk managers, accountants, and investors. Additionally, Silcube smoothly integrates through APIs, enhancing existing workflows and connecting with other external systems for a streamlined user experience. This comprehensive approach not only simplifies debt management but also empowers users with valuable insights and tools to make informed decisions.

Server Scheduler empowers you to take control of your cloud costs by manually scheduling server instances with a visual time grid, ensuring that servers only run when needed. It supports shutting down servers during off hours and downsizing idle machines across leading cloud platforms like AWS, Google Cloud Platform, and Microsoft Azure. The automation automatically powers down servers and databases when your team isn’t active, whether overnight, on weekends, or holidays, eliminating wasteful spending on idle cloud resources. This intelligent scheduling can reduce your cloud expenses by as much as 70%, saving significant budget. Once configured, the system runs automatically without requiring manual intervention, freeing IT teams from constant oversight. Server Scheduler’s cross-cloud compatibility makes it a versatile tool for managing resources in complex environments. It also helps optimize cloud infrastructure to maintain performance without unnecessary costs. Overall, it offers a reliable and cost-effective solution for cloud resource management.

ScalePad Backup Radar offers an automated, cloud-based solution for backup monitoring and reporting, tailored for managed service providers. This tool aggregates backup statuses from over 300 integrations, including primary RMM, PSA, and backup systems, across servers, workstations, virtual machines, and NAS devices, all displayed in a customizable dashboard. It identifies vulnerabilities, facilitates trend analysis, and prioritizes actionable alerts by utilizing an intelligent ticketing system that organizes, appends, and automatically closes notifications to minimize distractions. Additionally, Backup Radar provides customizable, color-coded reports that can be scheduled flexibly and integrated within ScalePad’s Lifecycle Manager for coherent insights for clients. Compliant with SOC 2 Type II and ISO 27001 cybersecurity standards, the platform also features seamless API-driven integrations with PSA ticketing systems, allowing for the automation of incident workflows and the upkeep of compliance. This comprehensive solution is designed to enhance efficiency while ensuring that managed service providers can deliver consistent and reliable backup services.

Failover Clustering in Windows Server (and Azure Local) allows a collection of independent servers to collaborate, enhancing both availability and scalability for clustered roles, which were previously referred to as clustered applications and services. These interconnected nodes utilize a combination of hardware and software solutions, ensuring that if one node encounters a failure, another node seamlessly takes over its responsibilities through an automated failover mechanism. Continuous monitoring of clustered roles ensures that if they cease to function properly, they can be restarted or migrated to uphold uninterrupted service. Additionally, this feature includes support for Cluster Shared Volumes (CSVs), which create a cohesive, distributed namespace and enable reliable shared storage access across all nodes, thereby minimizing potential service interruptions. Common applications of Failover Clustering encompass high‑availability file shares, SQL Server instances, and Hyper‑V virtual machines. This functionality is available on Windows Server versions 2016, 2019, 2022, and 2025, as well as within Azure Local environments, making it a versatile choice for organizations looking to enhance their system resilience. By leveraging Failover Clustering, organizations can ensure their critical applications remain available even in the event of hardware failures.

HPE Serviceguard for Linux (SGLX) is a clustering solution focused on high availability (HA) and disaster recovery (DR) that aims to ensure maximum uptime for essential Linux workloads, whether they are deployed on-premises, in virtualized setups, or across hybrid and public cloud environments. It consistently tracks the performance of applications, services, databases, servers, networks, storage, and processes; when it identifies issues, it rapidly initiates automated failover, typically within four seconds, all while maintaining data integrity. SGLX accommodates both shared-storage and shared-nothing architectures through its Flex Storage add-on, which allows for the provision of highly available services like SAP HANA and NFS in situations where SAN is not an option. The E5 edition, which is solely focused on HA, offers zero-RPO application failover alongside comprehensive monitoring and a user-friendly workload-centric graphical interface. In contrast, the E7 edition that combines HA and DR features introduces capabilities such as multi-target replication, automated recovery with a simple button press, rehearsals for disaster recovery, and the flexibility for workload mobility between on-premises systems and the cloud, thereby enhancing operational resilience. This versatility makes SGLX a valuable asset for businesses aiming to maintain continuous service availability in the face of potential disruptions.

SIOS DataKeeper is a block-level replication solution tailored for host-based environments, providing real-time redundancy either synchronously or asynchronously for Windows Server setups, and it integrates effortlessly with Windows Server Failover Clustering (WSFC). This innovative solution facilitates the creation of "SANless" clusters, removing the need for shared-storage systems by enabling data replication across various local, virtual, or cloud servers such as VMware, Hyper-V, AWS, Azure, and Google Cloud Platform, all while ensuring optimized performance without the necessity for specialized hardware accelerators or compression tools. After installation, it introduces a new SIOS DataKeeper Volume resource within WSFC, allowing for the support of geographically distributed clusters through cross-subnet failover and customizable heartbeat settings. Additionally, it features built-in WAN optimization and effective compression to enhance bandwidth utilization over both local and wide-area networks, thereby improving overall network efficiency. This combination of features makes SIOS DataKeeper an excellent choice for organizations looking to enhance their data availability without the complexities of traditional storage solutions.

SIOS LifeKeeper for Windows is an all-encompassing solution designed for high availability and disaster recovery, seamlessly combining features like failover clustering, continuous monitoring of applications, data replication, and adaptable recovery policies to achieve an impressive 99.99% uptime for various Microsoft Windows Server environments, including physical, virtual, cloud, hybrid-cloud, and multicloud setups. System administrators have the flexibility to construct SAN-based or SANless clusters utilizing multiple storage options, such as direct-attached SCSI, iSCSI, Fibre Channel, or local disks, while also selecting between local or remote standby servers that cater to both high availability and disaster recovery requirements. With its real-time block-level replication capabilities provided through the integrated DataKeeper, LifeKeeper offers WAN-optimized performance, which features nine distinct levels of compression, bandwidth throttling, and built-in WAN acceleration, guaranteeing effective data replication across different cloud regions or over WAN networks without relying on additional hardware accelerators. This robust solution not only enhances operational resilience but also simplifies the management of complex IT infrastructures. Ultimately, SIOS LifeKeeper stands out as a vital tool for organizations aiming to maintain seamless service continuity and safeguard their valuable data assets.

OpenText Core Endpoint Backup provides a robust and automated solution for data protection tailored for modern distributed workforces by ensuring the safety of Windows and macOS endpoints, irrespective of geographical challenges or intricate network designs. It consolidates backup administration within a unified interface, facilitating forever-incremental snapshots and offering versatile restoration alternatives, such as point-in-time recovery for both individual devices and entire groups of endpoints. Featuring top-tier security measures, including AES 256-bit and RSA-4096 encryption alongside proprietary key management techniques, the solution guarantees data remains secure during transfer and while stored. Additionally, its integrated deduplication enhances storage efficiency, making it a practical choice for organizations. Administrators enjoy simplified deployment and policy governance across all levels of the organization, no matter the size or configuration, while also being able to utilize geolocation tracking and remote-wipe functions to protect data on devices that may be lost or compromised. This comprehensive approach not only enhances data security but also supports organizational resilience in a constantly evolving digital landscape.

TezHost offers a comprehensive web hosting solution that seamlessly integrates domain registration and management with a wide array of hosting options, including customizable cloud and dedicated server plans, as well as SSL certificate services. Their entry-level hosting packages come with perks such as complimentary data migration, NVMe SSD storage, ample bandwidth, free SSL certificates, weekly backups, access to PHPMyAdmin, FTP accounts, MySQL databases, and support for multiple subdomains and addon domains. The cPanel Pro upgrade enhances the user experience by ensuring compatibility with all leading PHP frameworks, providing Softaculous for one-click app installations, Imunify360 for security, and boosting CPU, RAM, and I/O capabilities. Hosting solutions tailored for WordPress and Windows Plesk are specifically fine-tuned for optimal performance on their respective platforms, while the reseller hosting option enables agencies to roll out branded services easily. Additionally, cloud and dedicated server offerings grant root access, feature SSD/NVMe storage, and allow for flexible scaling of resources, complemented by integrations with AWS and Azure to ensure a worldwide presence. With TezHost, businesses can find a one-stop shop for their web hosting and domain needs, making it a versatile choice for various online ventures.

Fortanix Confidential AI presents a comprehensive platform that allows data teams to handle sensitive datasets and deploy AI/ML models exclusively within secure computing environments, integrating managed infrastructure, software, and workflow orchestration to uphold privacy compliance across organizations. This service features on-demand infrastructure driven by the high-performance Intel Ice Lake third-generation scalable Xeon processors, enabling the execution of AI frameworks within Intel SGX and other enclave technologies while ensuring no external visibility. Moreover, it offers hardware-backed execution proofs and comprehensive audit logs to meet rigorous regulatory standards, safeguarding every aspect of the MLOps pipeline, from data ingestion through Amazon S3 connectors or local uploads to model training, inference, and fine-tuning, while also ensuring compatibility across a wide range of models. By leveraging this platform, organizations can significantly enhance their ability to manage sensitive information responsibly while advancing their AI initiatives.

Shark Finesse is a cutting-edge platform powered by AI that streamlines and standardizes the process of creating, managing, and delivering business cases focused on customer needs throughout the sales cycle. At the heart of its functionality is the SharkSense AI engine, which facilitates value engineering by establishing connections between your solutions and customer objectives, while also leading collaborative sessions that enhance both clarity and efficiency in developing business cases. As an enterprise-ready cloud application, it features a user-friendly web interface that supports marketing, pre-sales, sales, and customer success teams in real-time across various devices, including desktop, tablet, and mobile, and it remains functional even without an internet connection, ensuring that discussions with customers emphasize measurable ROI instead of getting bogged down with spreadsheets. Moreover, the platform organizes your product catalogs, financial calculators, and industry-specific templates, includes a comprehensive library of benefit frameworks, and produces outputs that are compatible with popular software like Microsoft Office, Google Workspace, and OpenOffice, ultimately making it an indispensable tool for driving customer engagement and value realization. This holistic approach not only enhances productivity but also empowers teams to focus on what truly matters—delivering results that resonate with clients.

The innovative TEAM Model 5 Series introduces a completely overhauled and intelligent educational ecosystem, constructed on a newly modernized technology infrastructure that merges cloud computing, artificial intelligence, big data analysis, IoT, mobile applications, and social networking, thereby facilitating hybrid interactive teaching with enhanced speed, security, and cross-platform functionality. The cloud aspect equips educators with synchronized access to a variety of teaching materials, such as HTEX, PPTX, media, documents, and both course and student information, from virtually any location or device, which minimizes waiting periods and promotes a smooth integration of online and offline learning; the question banks now accommodate a variety of formats (such as true/false, multiple choice, cloze, short answer, essay, calculation, and multimedia) through the updated HTEX format, allowing for effortless import of MS Word documents that maintain their original formulas, graphs, and embedded content. Additionally, the multi-assessment approach encompasses OSS Script assessments (including OMR and written responses) with automated scoring and reporting features, as well as advanced classroom evaluations that utilize real-time IRS feedback, making the assessment process more dynamic and responsive to student needs. This transformation ultimately aims to enrich the learning experience and provide educators with the tools necessary to adapt to the evolving educational landscape.

Airia’s enterprise AI orchestration platform effortlessly connects with current systems and data sources while providing a no-code agent builder that allows for quick prototyping. It features pre-built connectors for cohesive data integration, along with intelligent AI operations that enhance both performance and cost efficiency through smart routing and centralized lifecycle management. The platform also emphasizes enterprise-grade security and governance, including comprehensive audit capabilities and responsible AI guardrails. Being model-agnostic and vendor-neutral, it allows for adaptable deployment options across shared or dedicated cloud, private cloud, and on-premises setups. This flexibility empowers both technical and non-technical users to construct, implement, and oversee secure AI agents on a large scale without the need for intricate installations or migrations. With its user-friendly interface and cohesive platform, Airia revolutionizes workflows across various departments, including engineering, IT, finance, legal, marketing, sales, and support, enabling organizations to confidently and compliantly advance their AI initiatives. Ultimately, this comprehensive solution positions businesses to harness the full potential of AI while streamlining operations and ensuring security.

Cloudera Data Warehouse is a cloud-native, self-service analytics platform designed to empower IT departments to quickly provide query functionalities to BI analysts, allowing users to transition from no query capabilities to active querying within minutes. It accommodates all forms of data, including structured, semi-structured, unstructured, real-time, and batch data, and it scales efficiently from gigabytes to petabytes based on demand. This solution is seamlessly integrated with various services, including streaming, data engineering, and AI, while maintaining a cohesive framework for security, governance, and metadata across private, public, or hybrid cloud environments. Each virtual warehouse, whether a data warehouse or mart, is autonomously configured and optimized, ensuring that different workloads remain independent and do not disrupt one another. Cloudera utilizes a range of open-source engines, such as Hive, Impala, Kudu, and Druid, along with tools like Hue, to facilitate diverse analytical tasks, which span from creating dashboards and conducting operational analytics to engaging in research and exploration of extensive event or time-series data. This comprehensive approach not only enhances data accessibility but also significantly improves the efficiency of data analysis across various sectors.

Bevica is a specialized ERP solution designed specifically for the beverage sector, efficiently managing the entire process from grain to bottle and from warehouse to consumer, all within a single platform. Its comprehensive capabilities include financial management, reporting, KPI tracking, inventory oversight, supply chain logistics, and tax compliance, addressing the unique regulatory requirements of the beverage industry. Additionally, Bevica enhances customer relationship management and service, allowing businesses to synchronize sales, orders, and customer interactions seamlessly with their production and distribution operations. Built on the robust Microsoft Dynamics 365 Business Central, it offers seamless integration with Microsoft 365, Power Platform, Excel, Teams, and Copilot tools, enhancing automation, reporting, and overall interoperability. Furthermore, Bevica incorporates best practices tailored to breweries, wineries, distilleries, fine wine merchants, and distributors, featuring specific functionalities like barrel and cellar management, bonded warehousing, and compliance with industry regulations, ensuring that users can operate efficiently and effectively in a competitive market. This holistic approach allows businesses in the beverage industry to streamline their operations while maintaining compliance and optimizing customer engagement.

CloudXray is a solution for scanning cloud workloads that functions in two modes: a basic mode for identifying misconfigurations and an advanced mode for comprehensive scanning that includes malware detection, OS vulnerabilities, and misconfiguration analysis. Its architecture features a centralized orchestrator situated in a single region, complemented by distributed scanners that extend coverage to all identified regions, ensuring compatibility with both AWS and GCP platforms. By employing an agentless methodology, it examines workloads and volumes throughout your cloud account for threats such as malware, CVEs, and policy violations. The solution dynamically provisions scanning instances as needed, integrates through roles and APIs, and ensures ongoing monitoring of cloud resources without the necessity for persistent agents. With support for quick deployment, CloudXray is tailored for scalable, multi-region cloud environments. It is specifically crafted to assist organizations in upholding a secure framework across compute instances, storage volumes, and operating system layers by merging configuration assessments with vulnerability detection and additional features. This comprehensive approach not only enhances security but also streamlines compliance with industry regulations.

NetWatch.ai provides an all-encompassing, AI-powered monitoring and security platform aimed at unifying disparate tools into a cohesive solution tailored for contemporary IT settings. The platform features three main product categories: NetWatch OPS, which delivers real-time monitoring, proactive alerts, and efficient resource management for servers and networks; Secure OPS, a hybrid SIEM that facilitates comprehensive security oversight and compliance for both cloud-based and on-premises systems; and AI OPS, which harnesses machine learning to foresee potential issues, automate resolution processes, and enhance operational efficacy. A unique “AI System Administrator” functions as a virtual operator that oversees customer infrastructures, integrates seamlessly through API with existing workflows, and provides thorough visibility and automation. Additionally, for organizations in need of expert support, NetWatch.ai offers Hive OPS SOC, a tiered Security Operations Center service that includes round-the-clock monitoring, incident response, and various other critical services. This integrated approach not only simplifies management but also significantly strengthens the overall security posture of businesses in an increasingly complex digital landscape.

Hathora is an advanced platform for real-time compute orchestration, specifically crafted to facilitate high-performance and low-latency applications by consolidating CPUs and GPUs across various environments, including cloud, edge, and on-premises infrastructure. It offers universal orchestration capabilities, enabling teams to efficiently manage workloads not only within their own data centers but also across Hathora’s extensive global network, featuring smart load balancing, automatic spill-over, and an impressive built-in uptime guarantee of 99.9%. With edge-compute functionalities, the platform ensures that latency remains under 50 milliseconds globally by directing workloads to the nearest geographical region, while its container-native support allows seamless deployment of Docker-based applications, whether they involve GPU-accelerated inference, gaming servers, or batch computations, without the need for re-architecture. Furthermore, data-sovereignty features empower organizations to enforce regional deployment restrictions and fulfill compliance requirements. The platform is versatile, with applications ranging from real-time inference and global game-server management to build farms and elastic “metal” availability, all of which can be accessed through a unified API and comprehensive global observability dashboards. In addition to these capabilities, Hathora's architecture supports rapid scaling, thereby accommodating an increasing number of workloads as demand grows.

FacilityOS is an all-encompassing, modular cloud-based solution that enhances and automates the management of facilities, assets, and visitors by integrating various functions such as visitor check-in, contractor compliance, emergency evacuation management, physical access credentialing, and logistics/package tracking into a single platform. Employed by thousands of locations globally, the platform asserts that it oversees more than 52 million visitors, processes 16 million contractors, manages 1.5 million evacuees, and tracks over a billion packages. Each component—VisitorOS for managing check-ins, ContractorOS for overseeing vendor compliance, EmergencyOS for handling evacuations and alerts, SecurityOS for issuing temporary access credentials, and Logistics/Asset modules—can function on its own or work together for comprehensive enterprise visibility. FacilityOS places a strong emphasis on adhering to regulations, being audit-ready, and ensuring security, particularly in high-risk or complex sectors like manufacturing, healthcare, higher education, and government. Furthermore, the platform's flexibility and scalability make it suitable for organizations of varying sizes and needs.

The AGAT Secure AI Platform is an AI solution that prioritizes security, offering robust generative AI features tailored for enterprise needs while maintaining strict data protection and governance standards. It can be deployed in various settings, including on-premises environments that are completely isolated, or through cloud services, facilitating scenarios where data exposure is minimized and enabling comprehensive control for enterprises. This platform includes two key components: an AI Suite and an AI Firewall. The AI Suite provides a private AI ecosystem featuring various modules, such as a knowledge assistant that retrieves answers from internal data, a data-analysis agent that performs natural language analytics on spreadsheets and databases, a smart search tool for meaning-based content discovery, an AI code assistant for code completion, generation, and error detection, as well as AI agents capable of planning and executing tasks through file modifications and internet searches. Meanwhile, the AI Firewall functions as a real-time proxy for public AI services, implementing risk-based policies and additional security measures, thus ensuring that organizations can leverage AI safely while adhering to their governance frameworks. Overall, AGAT Secure AI Platform stands out for its commitment to security without sacrificing the innovative capabilities of generative AI.

AI Skills Navigator is an innovative learning platform developed by Microsoft that harnesses artificial intelligence to provide personalized and role-based training experiences along with credentials aimed at enhancing career-relevant skills in both AI and human capabilities. This platform consolidates educational resources from Microsoft, LinkedIn Learning, and GitHub into one cohesive hub, offering customized recommendations tailored to each user's specific role, career aspirations, and preferred learning methods. With a focus on interactivity and flexibility, AI Skills Navigator offers a variety of learning formats, such as on-demand video lessons, structured courses, practical labs, and AI-generated podcasts and summaries, catering to diverse learning preferences whether users like to watch, read, or listen. Beyond just cultivating technical proficiency in AI—like developing agents, comprehending generative AI, and applying AI in business or IT processes—it also emphasizes essential human skills such as decision-making, teamwork, adaptability, and leadership needed in an AI-centric work environment. This holistic approach ensures that users are well-equipped to thrive in a rapidly evolving job market.

Collect with Ease is a software platform designed for accounts receivable and debt collection, streamlining the collections process for businesses by offering comprehensive insights into overdue accounts, facilitating customized collection approaches, and automating workflows that shorten the duration between invoicing and receipt of payment. The platform consolidates communication with debtors through various channels, including SMS, email, and WhatsApp, enhances efficiency with automated payment reminders, and monitors payment commitments and statuses to boost cash flow. By integrating seamlessly with existing accounting systems, it allows for easy data transfer and enables users to customize workflows based on factors such as debt age, value, and customer history, which aids in focusing collection efforts where recovery chances are greatest. Additionally, Collect with Ease maintains a centralized repository of all communication logs, notes, and interactions, ensuring streamlined management and compliance for users. This all-in-one solution not only helps businesses enhance their collection strategies but also fosters better relationships with their customers through consistent and tailored communication.

Replenit is an innovative replenishment platform powered by artificial intelligence that automates repeat purchases and enhances customer loyalty by understanding each individual's buying patterns and product connections, sending tailored reminders exactly when they are likely to need a product instead of relying on one-size-fits-all schedules. Utilizing an advanced AI decision-making engine, it forecasts the rate of consumption for various items, determines the optimal time for restocking or upselling, and effortlessly manages millions of personalized customer journeys across diverse channels such as email, SMS, app notifications, and messaging platforms, all while boosting conversion rates through well-timed interventions and minimizing manual oversight. By adjusting to real-world purchasing habits, Replenit creates dynamic, behavior-driven replenishment processes that improve subscription models and decrease customer churn, effectively generating more consistent revenue while sidestepping the limitations of fixed subscription timelines. Additionally, it offers smooth integration with existing commerce and customer data systems and is tailored for specific industry needs, ensuring a comprehensive solution for businesses aiming to optimize their sales strategies.

Zipher is an innovative optimization platform that autonomously enhances the performance and cost-effectiveness of workloads on Databricks by removing the need for manual tuning and resource management, all while making real-time adjustments to clusters. Utilizing advanced proprietary machine learning algorithms, Zipher features a unique Spark-aware scaler that actively learns from and profiles workloads to determine the best resource allocations, optimize configurations for each job execution, and fine-tune various settings such as hardware, Spark configurations, and availability zones, thereby maximizing operational efficiency and minimizing waste. The platform continuously tracks changing workloads to modify configurations, refine scheduling, and distribute shared compute resources effectively to adhere to service level agreements (SLAs), while also offering comprehensive cost insights that dissect expenses related to Databricks and cloud services, enabling teams to pinpoint significant cost influencers. Furthermore, Zipher ensures smooth integration with major cloud providers like AWS, Azure, and Google Cloud, and is compatible with popular orchestration and infrastructure-as-code (IaC) tools, making it a versatile solution for various cloud environments. Its ability to adaptively respond to workload changes sets Zipher apart as a crucial tool for organizations striving to optimize their cloud operations.

Scanner.dev is a cloud-based security data lake and a streamlined security information and event management (SIEM) platform that allows users to index logs directly into their Amazon S3 storage, thereby enabling the retention of unlimited logs and facilitating full-text searches across vast amounts of data in mere seconds, all without the need for additional ETL processes or schema setups. With its lightweight indexing system, any log format can be made immediately searchable, and it offers rapid search capabilities, ongoing threat detection through customizable detection rules that can be managed as code via GitHub, and seamless alerting with APIs for automation and existing security workflow integration. The platform's streaming detection engine constantly assesses rule queries in nearly real time and is equipped to backtest detection logic using historical data. Furthermore, its API and Model Context Protocol (MCP) not only provide programmatic access but also allow for AI-assisted evaluation of security data, enhancing the overall security analysis process. This robust architecture ensures that organizations can effectively manage and respond to security threats with agility and precision.