Business Software for Microsoft Azure

Lucidity serves as a versatile multi-cloud storage management solution, adept at dynamically adjusting block storage across major platforms like AWS, Azure, and Google Cloud while ensuring zero downtime, which can lead to savings of up to 70% on storage expenses. This innovative platform automates the process of resizing storage volumes in response to real-time data demands, maintaining optimal disk usage levels between 75-80%. Additionally, Lucidity is designed to function independently of specific applications, integrating effortlessly into existing systems without necessitating code alterations or manual provisioning. The AutoScaler feature of Lucidity, accessible via the AWS Marketplace, provides businesses with an automated method to manage live EBS volumes, allowing for expansion or reduction based on workload requirements, all without any interruptions. By enhancing operational efficiency, Lucidity empowers IT and DevOps teams to recover countless hours of work, which can then be redirected towards more impactful projects that foster innovation and improve overall effectiveness. This capability ultimately positions enterprises to better adapt to changing storage needs and optimize resource utilization.

SAP Business Data Cloud serves as a comprehensive managed SaaS solution that integrates and governs all data from SAP while effortlessly linking to external data sources, thus equipping business leaders with essential context for making significant decisions. This platform features critical data products that ensure access to SAP information across vital business operations in a well-regulated and contextual manner, which helps to mitigate the significant expenses tied to data extraction and duplication. As a premier data platform, it facilitates the seamless integration of all SAP and external data in partnership with Databricks, offering robust insight applications that enhance advanced analytics and strategic planning across multiple business sectors. By synchronizing all essential data within a collaborative open data environment and utilizing a strong semantic layer, SAP Business Data Cloud delivers exceptional business insights. Additionally, this system not only enhances decision-making but also drives innovation by making advanced data capabilities accessible to various departments.

Augoor revolutionizes the way static code is transformed into actionable knowledge, allowing teams to efficiently navigate, document, and optimize intricate systems with ease. By analyzing structures, relationships, and context within the code, Augoor creates a dynamic knowledge graph that significantly expedites the development lifecycle. Its AI-powered code navigation tool boosts the productivity of new developers, seamlessly integrating them into projects from their very first day. Furthermore, Augoor minimizes maintenance challenges and strengthens code integrity by identifying problematic segments, ultimately leading to cost savings and a more robust codebase. The platform automatically produces clear and updated explanations for code, safeguarding knowledge retention, particularly in the case of complex legacy systems. By streamlining the process of searching through code, the AI navigation system enables developers to concentrate on coding, thereby accelerating feature development and nurturing innovation across extensive codebases. Additionally, Augoor's sophisticated AI-driven visualizations reveal hidden patterns, elucidate complex dependencies, and unveil critical relationships that can enhance overall project efficiency. This multifaceted approach not only simplifies development but also empowers teams to make informed decisions based on deep insights from their code.

Espressive's Barista Agent Co-Pilot is an AI-driven tool aimed at improving service desk efficiency by smoothly integrating with platforms like ServiceNow, CXone, AWS Connect, and Genesys. It boasts capabilities such as New Ticket Enrichment, which leverages AI to forecast ticket details and access pertinent knowledge, along with Barista Live Translation that allows agents to engage in effective multilingual communication. Agents have the ability to interact with BaristaGPT within their tickets or chats, offering them prompt assistance and automation features. The solution also encompasses Automatic Knowledge Generation, which produces new knowledge articles from resolved tickets, thereby enhancing future problem-solving efforts. By decreasing the mean time to resolution (MTTR), boosting first call resolution rates, and reducing escalations, Barista Agent Co-Pilot significantly improves agent efficiency while also streamlining the training process for new staff members. Ultimately, this innovative tool not only optimizes operational performance but also empowers agents to deliver superior service experiences.

MagnifAI is an innovative quality assurance platform powered by artificial intelligence that transforms the landscape of software testing workflows through the use of automation and generative AI technologies. This platform empowers teams to convert intricate testing scenarios into automated tests by directly generating test cases and automation code from specific project requirements. Utilizing agentic AI, MagnifAI crafts personalized workflows that can be executed immediately, allowing teams to customize the testing process according to their unique demands. Additionally, it significantly enhances visual testing capabilities, ensuring uniformity across various designs, layouts, and environments, while also providing seamless integration with existing test management tools and frameworks. Importantly, MagnifAI prioritizes security for sensitive data, safeguarding project documents and test plans from unauthorized access. By streamlining the overall testing process, the platform effectively reduces technical debt, optimizes testing efficiency, and boosts productivity, as it facilitates quicker creation and execution of test cases. Furthermore, MagnifAI’s innovative solution not only increases the frequency of testing but also minimizes the time spent on monotonous tasks, ultimately leading to a more efficient software development lifecycle.

FlashGrid offers innovative software solutions aimed at boosting both the reliability and efficiency of critical Oracle databases across a range of cloud environments, such as AWS, Azure, and Google Cloud. By implementing active-active clustering through Oracle Real Application Clusters (RAC), FlashGrid guarantees an impressive 99.999% uptime Service Level Agreement (SLA), significantly reducing the risk of business interruptions that could arise from database outages. Their sophisticated architecture is designed to support multi-availability zone deployments, providing robust protection against potential data center failures and regional disasters. Additionally, FlashGrid's Cloud Area Network software enables the creation of high-speed overlay networks, complete with advanced features for high availability and performance management. Their Storage Fabric software plays a crucial role by converting cloud storage into shared disks that can be accessed by all nodes within a cluster. Furthermore, the FlashGrid Read-Local technology efficiently decreases storage network overhead by allowing read operations to be served directly from locally attached disks, ultimately leading to improved overall system performance. This comprehensive approach positions FlashGrid as a vital player in ensuring seamless database operations in the cloud.

Max.AI, a low-code/no-code platform created by ZS, empowers users to develop autonomous AI agents on a large scale. Its cloud-agnostic design provides enterprise-level development tools and a variety of pre-built use cases, significantly improving responsiveness to varying business requirements. By merging fine-tuned large language models with traditional machine learning techniques and proprietary datasets, Max.AI allows for the swift creation and implementation of specialized generative AI applications. Accessible through the AWS and Azure marketplaces, Max.AI can seamlessly integrate into client environments, promoting both flexibility and scalability. Key technological advancements include support for hybrid cloud environments, a model-agnostic architecture, and a dynamic, software-defined analytics framework, all designed to expedite the development and deployment of AI solutions across numerous sectors. This platform ultimately aims to simplify the process of harnessing AI capabilities for organizations of all sizes.

Akitra Andromeda represents a cutting-edge, AI-driven compliance automation solution aimed at simplifying the complex landscape of regulatory compliance for organizations, regardless of their size. It accommodates an extensive array of compliance standards such as SOC 2, ISO 27001, HIPAA, PCI DSS, SOC 1, GDPR, NIST 800-53, along with tailored frameworks, allowing businesses to maintain ongoing compliance with ease. With more than 240 integrations available for major cloud services and SaaS applications, it effortlessly fits into existing operational processes. The platform’s automation features significantly lower the expenses and time involved in traditional compliance management by automating the processes of monitoring and gathering necessary documentation. Additionally, Akitra offers an extensive library of templates for policies and controls, which aids organizations in developing a thorough compliance program. Its continuous monitoring functionality guarantees that assets are not only secure but also remain compliant at all times, providing peace of mind for businesses. Ultimately, Akitra Andromeda empowers companies to focus on their core operations while seamlessly managing their compliance obligations.

Pelanor is an innovative FinOps platform that leverages AI to cater to the needs of contemporary cloud environments, ensuring seamless integration across various cloud systems to illuminate organizational cloud expenditures. By providing contextual cost insights, it equips engineering, finance, and business leaders with the necessary tools to make well-informed choices. The platform identifies actionable opportunities by addressing major cost drivers and promptly resolving cost-related incidents before they worsen. Pelanor enhances understanding of how cloud spending correlates with business metrics, granting a holistic view of the factors influencing expenses and ways to optimize them. Its sophisticated cost allocation features promote accountability throughout the organization, allowing for accurate chargebacks. Furthermore, Pelanor's autonomous AI-driven approach simplifies cloud spending management and facilitates informed decision-making for leaders. The platform ensures comprehensive visibility into costs at intricate levels, such as individual queries or job executions, while offering tailored anomaly detection systems and detailed alerts. This level of granularity not only aids in precise financial planning but also helps organizations to proactively manage their cloud resources effectively.

Understand.ai delivers innovative ground truth annotation technology to effectively manage complexity on a large scale. Their advanced annotation platform is crafted to tackle intricate ground truth annotation tasks, boasting a scalable infrastructure that can handle substantial data volumes and projects of any size with ease. It stands out in providing tailored data elevation and workflows, specifically designed to align with unique project requirements while emphasizing adherence to strict data privacy and security protocols. With user-friendly tools that facilitate smooth collaboration between clients and labeling partners, the automation features greatly minimize manual annotation tasks, thus making extensive ADAS/AD programs financially viable. Among its key attributes is multi-sensor integration, which allows for the seamless incorporation and processing of data from various LiDAR sensors, delivering an all-encompassing perspective of complex 3D environments and ensuring precise annotation. This combination of advanced technology and customized solutions positions Understand.ai as a leader in the annotation industry, ready to meet the evolving demands of its clients.

Lantern is a solution for External Attack Surface Management. It helps organizations identify, monitor and secure exposed assets, before attackers can exploit them. It allows for real-time detection of internet-facing infrastructure and detects vulnerabilities. It also sends instant alerts to security teams, allowing them to reduce their attack surface. Lantern's automated asset discovery, integrated risk scoring and seamless integration with AWS Azure and GCP ensures that public-facing resources are always visible. Lantern alerts users within 30 minutes of a security breach, unlike traditional tools which can take days to detect.

SUSE Linux Enterprise Server (SLES) is a powerful and secure operating system tailored for enterprises and organizations, providing a scalable and reliable foundation for critical workloads and applications across diverse environments, whether physical, virtual, or cloud-based. This operating system boasts advanced capabilities like high availability, virtualization, and seamless cloud integration, making it well-suited for the deployment of sophisticated IT infrastructures. Renowned for its stability and long-term support, SLES ensures that organizations can maintain a secure and consistent operational environment over extended periods. Moreover, SUSE's management tools facilitate efficient configuration and automation, which greatly simplifies server deployment and ongoing maintenance tasks. It accommodates a variety of hardware architectures, including x86_64, ARM, and IBM Power, thus offering the necessary flexibility to meet differing business demands. Additionally, SUSE Linux Enterprise Server is designed for optimal performance and comes equipped with robust security features to protect valuable data and resources. With its comprehensive support and innovative features, SLES stands out as an exceptional choice for businesses aiming to enhance their IT capabilities.

The SAP Store serves as a vast online marketplace where companies can find, test, and buy more than 3,000 applications, extensions, and services provided by SAP and its reliable partners. This platform presents a diverse range of solutions aimed at helping organizations tackle various business challenges, including enterprise software and tools for finance, human resources, and analytics, in addition to innovative applications and enhancements. Users have the option to explore both complimentary trials and premium offerings, ensuring smooth access to SAP and partner solutions that enhance business operations. With user-friendly browsing and search functionalities, businesses can easily locate, acquire, and manage their desired solutions while enjoying seamless integration with their existing SAP technologies. This convenience ultimately empowers organizations to optimize their workflows and drive efficiency across all departments.

Azure Web PubSub is a comprehensive, fully managed service that empowers developers to create real-time web applications leveraging WebSockets alongside the publish-subscribe architecture. It facilitates both native and serverless WebSocket connections, ensuring scalable, two-way communication while eliminating the complexities of infrastructure management. This service is particularly well-suited for diverse applications, including chat platforms, live streaming, and Internet of Things (IoT) dashboards. Additionally, it supports real-time publish-subscribe messaging, enhancing the development process for web applications with robust WebSocket capabilities. The service is designed to accommodate a large number of client connections and maintain high availability, allowing applications to support countless concurrent users effortlessly. Furthermore, it provides a range of client SDKs and programming language support, ensuring smooth integration into pre-existing applications. To enhance data security and access management, built-in features such as Azure Active Directory integration and private endpoints are also included, providing developers with peace of mind as they build and scale their applications. This combination of features makes Azure Web PubSub a compelling choice for those looking to develop interactive and responsive web solutions.

SQream is an advanced data analytics platform powered by GPU technology that allows companies to analyze large and intricate datasets with remarkable speed and efficiency. By utilizing NVIDIA's powerful GPU capabilities, SQream can perform complex SQL queries on extensive datasets in a fraction of the time, turning processes that traditionally take hours into mere minutes. The platform features dynamic scalability, enabling organizations to expand their data operations seamlessly as they grow, without interrupting ongoing analytics workflows. SQream's flexible architecture caters to a variety of deployment needs, ensuring it can adapt to different infrastructure requirements. Targeting sectors such as telecommunications, manufacturing, finance, advertising, and retail, SQream equips data teams with the tools to extract valuable insights, promote data accessibility, and inspire innovation, all while significantly cutting costs. This ability to enhance operational efficiency provides a competitive edge in today’s data-driven market.

Magma is an advanced AI model designed to seamlessly integrate digital and physical environments, offering both vision-language understanding and the ability to perform actions in both realms. By pretraining on large, diverse datasets, Magma enhances its capacity to handle a wide variety of tasks that require spatial intelligence and verbal understanding. Unlike previous Vision-Language-Action (VLA) models that are limited to specific tasks, Magma is capable of generalizing across new environments, making it an ideal solution for creating AI assistants that can interact with both software interfaces and physical objects. It outperforms specialized models in UI navigation and robotic manipulation tasks, providing a more adaptable and capable AI agent.

Unframe is an all-in-one enterprise AI solution that allows businesses to quickly create and implement customized AI applications designed specifically for their individual needs. By providing contextual understanding in AI interactions, Unframe improves model accuracy while minimizing the need for extensive data sharing. This platform enables companies to build secure and scalable AI applications within hours, effectively tackling issues like complexity, security, and compliance that can impede the adoption of AI technologies. It effortlessly integrates with current systems, facilitating connections to various SaaS platforms, databases, and file formats, which ensures compatibility across a wide range of technological environments. With a focus on security, Unframe guarantees that data remains within the company’s control unless shared intentionally, thus upholding confidentiality and adherence to regulations. By delivering a comprehensive solution for a variety of AI applications, Unframe empowers businesses to innovate rapidly and effectively, surpassing the challenges posed by generic software and convoluted implementation processes. This unique approach not only streamlines the AI development journey but also fosters an environment where enterprises can thrive in an increasingly digital landscape.

Seqera is an innovative bioinformatics platform crafted by the team behind Nextflow, aimed at optimizing and improving the oversight of scientific data analysis workflows. It provides a robust array of tools, such as the Seqera Platform for managing scalable data pipelines, Seqera Pipelines that grant access to a handpicked selection of open-source workflows, Seqera Containers to facilitate container management, and Seqera Studios that create interactive environments for data analysis. The platform is designed to integrate smoothly with a variety of cloud and on-premises systems, promoting reproducibility and compliance within scientific research. Users can incorporate Seqera into their existing infrastructures, including major cloud services like AWS, GCP, and Azure, all without the need for mandatory migrations. This flexibility allows for total control over data residency while enabling global scalability, ensuring that security and performance are never compromised. Furthermore, Seqera empowers researchers to enhance their analytical capabilities while maintaining a seamless operational flow within their established systems.

Apsy is an innovative app builder powered by generative AI that enables users to effortlessly convert their ideas into fully operational applications without any coding skills. The process begins with a dialogue between the user and Apsy's AI, which helps clarify the app concept through a series of guided questions. Following this, Apsy produces multiple interface screens, allowing users to customize each aspect step-by-step to ensure the final product meets their vision. Once the app design is complete, users can easily publish it along with installation guidelines for both iOS and Android platforms, all achievable in under an hour. Apsy prioritizes the creative process over technical details, removing the complexities of tasks like drag-and-drop design and database management. Additionally, users have the option to download the source code for further customization and can deploy their applications to preferred cloud services such as AWS, Azure, or GCP. Catering to a wide range of app categories—including social networking, dating, ecommerce, content sharing, events and ticketing, and food delivery—Apsy utilizes AI to significantly enhance user engagement and interaction. This approach not only streamlines the development process but also empowers users to bring their app ideas to life with remarkable ease and efficiency.

Onum serves as a real-time data intelligence platform designed to equip security and IT teams with the ability to extract actionable insights from in-stream data, thereby enhancing both decision-making speed and operational effectiveness. By analyzing data at its origin, Onum allows for decision-making in mere milliseconds rather than taking minutes, which streamlines intricate workflows and cuts down on expenses. It includes robust data reduction functionalities that smartly filter and condense data at the source, guaranteeing that only essential information is sent to analytics platforms, thus lowering storage needs and related costs. Additionally, Onum features data enrichment capabilities that convert raw data into useful intelligence by providing context and correlations in real time. The platform also facilitates seamless data pipeline management through effective data routing, ensuring that the appropriate data is dispatched to the correct destinations almost instantly, and it accommodates a variety of data sources and destinations. This comprehensive approach not only enhances operational agility but also empowers teams to make informed decisions swiftly.

DataBahn is an advanced platform that harnesses the power of AI to manage data pipelines and enhance security, streamlining the processes of data collection, integration, and optimization from a variety of sources to various destinations. Boasting a robust array of over 400 connectors, it simplifies the onboarding process and boosts the efficiency of data flow significantly. The platform automates data collection and ingestion, allowing for smooth integration, even when dealing with disparate security tools. Moreover, it optimizes costs related to SIEM and data storage through intelligent, rule-based filtering, which directs less critical data to more affordable storage options. It also ensures real-time visibility and insights by utilizing telemetry health alerts and implementing failover handling, which guarantees the integrity and completeness of data collection. Comprehensive data governance is further supported by AI-driven tagging, automated quarantining of sensitive information, and mechanisms in place to prevent vendor lock-in. In addition, DataBahn's adaptability allows organizations to stay agile and responsive to evolving data management needs.

321GoCheck is an innovative platform for digital background checks that simplifies the hiring and tenant verification processes through seamless integration with Microsoft Teams. This solution brings together HR professionals, hiring managers, candidates, and external parties into one unified collaborative environment, promoting real-time updates and effective communication. Key features include automated workflows designed to shorten onboarding durations, straightforward and transparent reporting, and adherence to global standards such as GDPR and EAA. Hosted on Microsoft Azure, it guarantees excellent stability, top-notch quality, and robust security measures. 321GoCheck provides tailored packages that cater to organizations of any size, with the objective of making background checks more efficient and improving the overall experience for all stakeholders. By consolidating information from candidates, online sources, and various databases directly into the 321GoCheck platform, we alleviate the burden of background checks. Now, the power of digital background checking is readily accessible at your fingertips, transforming the way organizations approach verification tasks.

Enhance your food sales and customer service experience using Kanpla's user-friendly POS system. Introduce innovative selling methods that feature personalized promotions, improved ordering processes, and higher average transaction values to boost your profit margins. With an integrated sales and loyalty application, you can elevate customer satisfaction, fostering loyalty that helps you retain existing clients while attracting new ones. Design stamp cards and highlight special promotions through targeted discounts to engage your audience. The combination of the app and POS system ensures a seamless loyalty experience. Refine your product offerings with feedback collected from post-transaction ratings and gain insightful data through tailor-made surveys. Present your weekly menu complete with vital information, including allergen data, nutritional details, and environmental impact measurements. Leverage the Kanpla app to manage your promotional calendar, reach customers with seasonal campaigns, and drive sales through effective push notifications. Additionally, implement self-service ordering for customers, supported by efficient order management and up-to-date production reports, creating a more dynamic service environment.

FalkorDB is an exceptionally rapid, multi-tenant graph database that is finely tuned for GraphRAG, ensuring accurate and relevant AI/ML outcomes while minimizing hallucinations and boosting efficiency. By utilizing sparse matrix representations alongside linear algebra, it adeptly processes intricate, interconnected datasets in real-time, leading to a reduction in hallucinations and an increase in the precision of responses generated by large language models. The database is compatible with the OpenCypher query language, enhanced by proprietary features that facilitate expressive and efficient graph data querying. Additionally, it incorporates built-in vector indexing and full-text search functions, which allow for intricate search operations and similarity assessments within a unified database framework. FalkorDB's architecture is designed to support multiple graphs, permitting the existence of several isolated graphs within a single instance, which enhances both security and performance for different tenants. Furthermore, it guarantees high availability through live replication, ensuring that data remains perpetually accessible, even in high-demand scenarios. This combination of features positions FalkorDB as a robust solution for organizations seeking to manage complex graph data effectively.

Phi-4-reasoning is an advanced transformer model featuring 14 billion parameters, specifically tailored for tackling intricate reasoning challenges, including mathematics, programming, algorithm development, and strategic planning. Through a meticulous process of supervised fine-tuning on select "teachable" prompts and reasoning examples created using o3-mini, it excels at generating thorough reasoning sequences that optimize computational resources during inference. By integrating outcome-driven reinforcement learning, Phi-4-reasoning is capable of producing extended reasoning paths. Its performance notably surpasses that of significantly larger open-weight models like DeepSeek-R1-Distill-Llama-70B and nears the capabilities of the comprehensive DeepSeek-R1 model across various reasoning applications. Designed for use in settings with limited computing power or high latency, Phi-4-reasoning is fine-tuned with synthetic data provided by DeepSeek-R1, ensuring it delivers precise and methodical problem-solving. This model's ability to handle complex tasks with efficiency makes it a valuable tool in numerous computational contexts.