Business Software for Amazon Web Services (AWS)

Avalor’s data fabric enables security teams to expedite their decision-making processes while enhancing accuracy. Our architecture seamlessly combines various data sources, such as legacy systems, data lakes, data warehouses, SQL databases, and applications, to deliver a comprehensive perspective on business performance. The platform is equipped with automation, two-way synchronization, alerts, and analytics, all driven by the capabilities of the data fabric. Security operations gain from swift, dependable, and precise evaluations of enterprise data, encompassing areas like asset coverage, compliance reporting, ROSI analysis, and vulnerability management, among others. Typically, security teams navigate through a multitude of specialized tools and products, each serving different purposes and generating unique outputs. This overwhelming diversity in data can complicate efforts to prioritize tasks and identify where problems exist. In order to respond promptly and accurately to business inquiries, it is essential to leverage data from throughout the organization effectively. By consolidating insights, teams can focus on critical issues and enhance overall security posture.

Easily train and deploy large-scale AI models with just a single command by pointing to your S3 bucket—then let us take care of everything else, including orchestration, efficiency, node failures, and infrastructure management. The process is straightforward and scalable, allowing you to utilize MosaicML to train and serve large AI models using your own data within your secure environment. Stay ahead of the curve with our up-to-date recipes, techniques, and foundation models, all developed and thoroughly tested by our dedicated research team. With only a few simple steps, you can deploy your models within your private cloud, ensuring that your data and models remain behind your own firewalls. You can initiate your project in one cloud provider and seamlessly transition to another without any disruptions. Gain ownership of the model trained on your data while being able to introspect and clarify the decisions made by the model. Customize content and data filtering to align with your business requirements, and enjoy effortless integration with your existing data pipelines, experiment trackers, and other essential tools. Our solution is designed to be fully interoperable, cloud-agnostic, and validated for enterprise use, ensuring reliability and flexibility for your organization. Additionally, the ease of use and the power of our platform allow teams to focus more on innovation rather than infrastructure management.

Transfer your data seamlessly into your customer's cloud data lake or warehouse without ever having to leave your own system. By connecting Bobsled to your data source, you can select the specific bucket or warehouse for your data transfer, and Bobsled will take care of the rest. There’s no need to manage multiple accounts or construct complex pipelines. Designed on each platform’s sharing protocol, Bobsled offers data providers a secure and effortless way to share data, eliminating the challenges of managing a multi-cloud environment. Considering that data integration consumes 70% of the time that teams spend working with external datasets, Bobsled empowers your clients to quickly access analysis-ready data directly in the environments they are accustomed to. Additionally, users can easily track and manage every data share through a single interface, enabling them to initiate shares, automate data transfers, resolve any errors, and monitor usage efficiently. Ultimately, this streamlined process enhances productivity and allows teams to focus more on insightful analysis rather than tedious data logistics.

Cutting-edge technology and services are designed to securely transform and elevate sensitive information into actionable insights, thereby fostering innovation and creating new avenues for revenue generation. Through the use of the Mimic synthetic data engine, businesses can effectively synthesize their data assets, ensuring that consumer privacy is safeguarded while preserving the statistical relevance of the information. This synthetic data can be leveraged for a variety of internal initiatives, such as analytics, machine learning, artificial intelligence, marketing efforts, and segmentation strategies, as well as for generating new revenue streams via external data monetization. Mimic facilitates the secure transfer of statistically relevant synthetic data to any cloud platform of your preference, maximizing the utility of your data. In the cloud, enhanced synthetic data—validated for compliance with regulatory and privacy standards—can support analytics, insights, product development, testing, and collaboration with third-party data providers. This dual focus on innovation and compliance ensures that organizations can harness the power of their data without compromising on privacy.

Introducing a versatile and precise synthetic data generation solution. In just minutes, you can create the specific data required for your perception system. Tailor scenarios to fit your needs with limitless variations available. Datasets can be generated effortlessly in the cloud. Anyverse delivers a robust synthetic data software platform that supports the design, training, validation, or refinement of your perception system. With unmatched cloud computing capabilities, it allows you to generate all necessary data significantly faster and at a lower cost than traditional real-world data processes. The Anyverse platform is modular, facilitating streamlined scene definition and dataset creation. The intuitive Anyverse™ Studio is a standalone graphical interface that oversees all functionalities of Anyverse, encompassing scenario creation, variability configuration, asset dynamics, dataset management, and data inspection. All data is securely stored in the cloud, while the Anyverse cloud engine handles the comprehensive tasks of scene generation, simulation, and rendering. This integrated approach not only enhances productivity but also ensures a seamless experience from conception to execution.

Address the obstacles faced in gathering data for the training of machine learning and AI systems by utilizing Rendered.ai, a platform-as-a-service tailored for data scientists, engineers, and developers. This innovative tool facilitates the creation of synthetic datasets specifically designed for ML and AI training and validation purposes. Users can experiment with various sensor models, scene content, and post-processing effects to enhance their projects. Additionally, it allows for the characterization and cataloging of both real and synthetic datasets. Data can be easily downloaded or transferred to personal cloud repositories for further processing and training. By harnessing the power of synthetic data, users can drive innovation and boost productivity. Rendered.ai also enables the construction of custom pipelines that accommodate a variety of sensors and computer vision inputs. With free, customizable Python sample code available, users can quickly start modeling SAR, RGB satellite imagery, and other sensor types. The platform encourages experimentation and iteration through flexible licensing, permitting nearly unlimited content generation. Furthermore, users can rapidly create labeled content within a high-performance computing environment that is hosted. To streamline collaboration, Rendered.ai offers a no-code configuration experience, fostering teamwork between data scientists and data engineers. This comprehensive approach ensures that teams have the tools they need to effectively manage and utilize data in their projects.

Developing machine learning applications should be effortless and seamless. UnionML is an open-source framework in Python that enhances Flyte™, streamlining the intricate landscape of ML tools into a cohesive interface. You can integrate your favorite tools with a straightforward, standardized API, allowing you to reduce the amount of boilerplate code you write and concentrate on what truly matters: the data and the models that derive insights from it. This framework facilitates the integration of a diverse array of tools and frameworks into a unified protocol for machine learning. By employing industry-standard techniques, you can create endpoints for data retrieval, model training, prediction serving, and more—all within a single comprehensive ML stack. As a result, data scientists, ML engineers, and MLOps professionals can collaborate effectively using UnionML apps, establishing a definitive reference point for understanding the behavior of your machine learning system. This collaborative approach fosters innovation and streamlines communication among team members, ultimately enhancing the overall efficiency and effectiveness of ML projects.

Having clear, precise, and well-structured data is essential for comprehending clients and facilitating significant transformations. Traverse is a cloud-enabled, commercially available document management system tailored specifically for human services organizations, focusing on document and forms management along with mobility solutions. Leveraging the robust infrastructure of Amazon Web Services (AWS), Traverse ensures comprehensive security, reliable disaster recovery, and consistent uptime. For an organization to achieve maximum impact, it is vital that every team member has access to the necessary tools that enable them to perform their duties efficiently and effectively each day. By utilizing Traverse, users can gain insight into specific client cases and documents while seamlessly navigating through data across various program areas, ultimately enhancing service delivery. This level of accessibility and organization can significantly improve overall operational effectiveness within the agency.

Introducing a groundbreaking 4D Infrastructure designed to shape the industrial metaverse, this platform enables large-scale industrial enterprises to measure, analyze, and seamlessly integrate AI-driven automation into their foundational operations. By creating live digital replicas of actual processes, we capture ground-level activities and convert them into real-time data streams. Our advanced AI technology then discerns critical variances that lead to inefficiencies, reduced output, and unsafe working conditions, all in an instant. This empowers clients to rethink and automate their workflows, tapping into previously unrecognized value. Utilizing contextual insights, our sensors work in tandem to validate and enhance the reliability of collected data, revealing the true dynamics of personnel and operations. The journey begins with the automatic integration of data from 3D models and 2D layouts, allowing us to accurately map out the physical environment, including the positioning and functionalities of all existing sensors within the facility, ensuring a comprehensive understanding of the operational landscape. This innovative approach not only streamlines processes but also fosters a culture of continuous improvement and operational excellence.

Automate the detection of anomalies to comply with service level agreements while overseeing the entire network landscape. Enhance digital experiences by modernizing security protocols, utilizing an agentless, AI-driven strategy that takes advantage of your current infrastructure. Implement a least privilege access policy and establish identity-based protections that encompass applications, devices, and the overall infrastructure. Receive immediate alerts for any escalations and review comprehensive session activities and details through integrated logging systems. Facilitate device fingerprinting to achieve valuable insights into network topology, while ensuring smooth integration with existing infrastructure. Streamline connectivity and governance from campus environments to cloud services. With Lumeus, organizations can harness AI to monitor and identify escalations, segment traffic to thwart lateral movement, and enhance user access security through the implementation of multi-factor authentication and zero trust principles, all managed from a single, coherent platform. Additionally, Lumeus provides a cloud management portal that connects seamlessly to your infrastructure via API, allowing for enhanced oversight and control. This holistic approach enables organizations to respond proactively to threats and optimize their security posture effectively.

With Onebeat, you can effectively separate your operations from long-term inaccurate forecasts. This innovative platform utilizes three key drums that influence your inventory and merchandise strategies, including availability, variety, and freshness. By leveraging these drums, Onebeat's AI algorithms improve your planning and execution processes, ensuring a smooth merchandise flow from sourcing to in-season management. Retailers face the challenge of satisfying escalating customer expectations for product availability, personalization, and freshness while navigating shorter product life cycles, broader assortment options, and issues with both popular items running low and surplus stock. In this complex landscape, it’s crucial to have a platform that simplifies these complexities and adapts to the constantly shifting market dynamics. Onebeat independently tracks the real-time demand for each SKU at every location, enabling it to respond instantly and maintain the ideal inventory levels and service standards for every product at all times. This adaptability not only enhances operational efficiency but also empowers retailers to stay competitive in an ever-evolving industry.

The vMX Series offers advanced routing functions tailored for both business and broadband solutions, incorporating features like route reflection and customer premises equipment (CPE) applications. This robust platform is designed to support a range of optional virtualized services, thereby enhancing its versatility across various applications. Operating on the Junos OS, the vMX utilizes the programmable Trio chipset microcode compatible with x86 chipsets, mirroring the performance of a traditional edge router. It is accessible as licensed software for x86 servers on platforms such as AWS, AWS GovCloud (U.S.), and Microsoft Azure. With its adaptable deployment models and diverse licensing options—whether granular, perpetual, or subscription-based—you have the opportunity to start on a smaller scale, accelerate your growth, and maintain profitability over time. This flexibility makes the vMX Series a compelling choice for organizations looking to optimize their networking infrastructure.

The Granica AI efficiency platform significantly lowers the expenses associated with storing and accessing data while ensuring its privacy, thus facilitating its use for training purposes. Designed with developers in mind, Granica operates on a petabyte scale and is natively compatible with AWS and GCP. It enhances the effectiveness of AI pipelines while maintaining privacy and boosting performance. Efficiency has become an essential layer within the AI infrastructure. Using innovative compression algorithms for byte-granular data reduction, it can minimize storage and transfer costs in Amazon S3 and Google Cloud Storage by as much as 80%, alongside reducing API expenses by up to 90%. Users can conduct an estimation in just 30 minutes within their cloud environment, utilizing a read-only sample of their S3 or GCS data, without the need for budget allocation or total cost of ownership assessments. Granica seamlessly integrates into your existing environment and VPC, adhering to all established security protocols. It accommodates a diverse array of data types suitable for AI, machine learning, and analytics, offering both lossy and fully lossless compression options. Furthermore, it has the capability to identify and safeguard sensitive data even before it is stored in your cloud object repository, ensuring compliance and security from the outset. This comprehensive approach not only streamlines operations but also fortifies data protection throughout the entire process.

HCL IntelliService is a cutting-edge platform that utilizes AI to enhance service delivery, ultimately turning customer service into a pathway for customer success. It comes equipped with several pre-built connectors that facilitate data integration from various sources, including customer relationship management systems, sales force automation tools, and enterprise service management applications, all within multi/hybrid cloud environments. By employing state-of-the-art technologies like cognitive search, conversational AI, and workflow automation, the platform significantly elevates the customer experience while also equipping service agents with advanced tools and analytics designed to expedite resolution times. With HCL, businesses can harness the power of an AI-enhanced productivity platform, leading to a decrease in the volume of customer support calls and a faster turnaround in resolving service requests throughout the customer service lifecycle. This innovative approach not only streamlines operations but also fosters a more engaged and satisfied customer base.

DataGalaxy is redefining how organizations govern and activate their data through a single, collaborative platform built for both business and technical teams. Its data and analytics governance solution provides the visibility, control, and alignment needed to transform data into a true business asset. The platform unites automated data cataloging, AI-driven lineage, and value-based prioritization to ensure every initiative is intentional and measurable. With features like the strategy cockpit and value tracking center, organizations can connect business objectives to actionable data outcomes and monitor ROI in real time. Over 70 native connectors integrate seamlessly with tools like Snowflake, Azure Synapse, Databricks, Power BI, and HubSpot, breaking down data silos across hybrid environments. DataGalaxy also embeds AI-powered assistants and compliance automation for frameworks like GDPR, HIPAA, and SOC 2, making governance intuitive and secure. Trusted by global enterprises including Airbus and Bank of China, the platform is both scalable and enterprise-ready. By blending data discovery, collaboration, and security, DataGalaxy helps organizations move from reactive governance to proactive value creation.

dstack simplifies GPU infrastructure management for machine learning teams by offering a single orchestration layer across multiple environments. Its declarative, container-native interface allows teams to manage clusters, development environments, and distributed tasks without deep DevOps expertise. The platform integrates natively with leading GPU cloud providers to provision and manage VM clusters while also supporting on-prem clusters through Kubernetes or SSH fleets. Developers can connect their desktop IDEs to powerful GPUs, enabling faster experimentation, debugging, and iteration. dstack ensures that scaling from single-instance workloads to multi-node distributed training is seamless, with efficient scheduling to maximize GPU utilization. For deployment, it supports secure, auto-scaling endpoints using custom code and Docker images, making model serving simple and flexible. Customers like Electronic Arts, Mobius Labs, and Argilla praise dstack for accelerating research while lowering costs and reducing infrastructure overhead. Whether for rapid prototyping or production workloads, dstack provides a unified, cost-efficient solution for AI development and deployment.

Astrix provides a robust solution for ensuring that your essential systems maintain secure connections to third-party cloud services by enhancing access management and threat mitigation for various elements such as API keys, OAuth tokens, and service accounts. Our agentless and straightforward deployment process allows you to identify and address risky app-to-app interactions that could lead to supply chain compromises, data leaks, and regulatory breaches. You will receive a comprehensive overview of all connections to your vital systems, including both internal and external applications, access keys, secrets, and operational workflows. Additionally, you can identify and eliminate over-privileged, unnecessary, and untrusted connections, and receive alerts if any application exhibits suspicious behavior. This proactive approach not only safeguards your infrastructure but also promotes a culture of security awareness within your organization.

Scrut is a comprehensive AI-powered GRC platform designed to help organizations manage risk, security, and compliance in a more intelligent and automated way. It provides real-time insights into an organization’s security posture by monitoring risks across infrastructure, applications, employees, and third-party vendors. The platform automates key processes such as control monitoring, evidence collection, and audit preparation, reducing the burden of manual work. Scrut offers a library of pre-built compliance frameworks, policies, and templates, enabling faster implementation and continuous compliance. Its AI-powered teammates provide guidance for remediation, risk assessments, and compliance tasks, helping teams resolve issues quickly. The platform also supports customizable workflows, allowing businesses to tailor their security programs to their unique needs. With seamless integrations, Scrut connects with existing tools to streamline operations and improve collaboration. It enables organizations to manage multiple compliance frameworks simultaneously without redundancy. The system ensures audit readiness by continuously tracking compliance status and validating evidence. Overall, Scrut empowers organizations to move beyond basic compliance and build a proactive, scalable security program.

Tessell simplifies the deployment of cloud databases with elegance and ease. Our comprehensive managed database service handles all your data infrastructure and management requirements efficiently. Transform high-performance computing into a robust framework that guarantees zero data loss. Ensure enterprise-grade protection for your database with features like multi-AZ high availability, cross-region disaster recovery, and business continuity planning. Enjoy policy-driven, consumer-grade data management across various environments such as Production, UAT, QA, and Development, all centralized in one platform. Managed and hosted by Tessell, you can set up a fully-managed database service in less than ten minutes with just a few straightforward steps. Whether you choose to use your own data or opt for sample data, you can fully utilize the data applications available. Modernizing your databases is a breeze with just a single click using Tessell, which also guarantees optimal performance at a fraction of the cost. Safeguard your production database with continuous backups of transactional data and logs, while also enabling the creation and storage of diverse data types, including table dumps and anonymized data, for use in secondary environments. This innovative approach not only enhances data management but also streamlines operational efficiency across your organization.

Conductor serves as a dynamic platform tailored for visual storytellers, enabling them to create and render content on an extensive scale. With its elastic, scalable, and secure infrastructure, Conductor alleviates the burden of compute-intensive operations, allowing studios, artists, and technologists to perform production-scale rendering swiftly and seamlessly in the cloud. Designed by artists for artists, Conductor is founded on three core principles: user-friendliness, collaboration, and time optimization. Our dedicated team comprises both cloud experts and VFX technical artists who are committed to enhancing the user experience and continually pushing the boundaries of cloud-based rendering capabilities. Additionally, our engineers take great pleasure in developing sophisticated solutions to intricate challenges, ensuring that creativity can thrive without technical limitations.

Explore over 20 different types of resources and seamlessly navigate to the AWS console across various accounts and regions. With context-aware syntax highlighting, you can easily identify pertinent details within your Cloudwatch logs. Additionally, you can swiftly browse and query your DynamoDB tables, utilizing a full-text search to locate your data efficiently. Lola is an incredibly fast desktop application available for macOS, Windows, and Linux platforms. Simply install and launch the app—there's no need to modify your AWS account settings. It’s designed to enhance your cloud management experience without any complicated setup.

Seamlessly connect your clouds, locations, users, and even SD-WAN fabrics, all while ensuring comprehensive end-to-end security. Instantly bring together users, locations, and cloud services into a unified experience. Enhance your network with segmentation and utilize integrated troubleshooting tools, all within a single platform. There’s no need to invest in hardware, download software, or familiarize yourself with new cloud environments; you only pay for what you utilize, making your network flexible and adaptable. Achieve unparalleled visibility across your entire cloud network, regardless of provider, platform, or geographic constraints. With Alkira Cloud Network as a Service, you can implement genuine end-to-end security that safeguards essential infrastructure and sensitive business information. Alkira’s Cloud Network is specifically designed and built for the cloud, eliminating the need for agent deployment or additional virtual management overheads. By streamlining the process, Alkira transforms networking, enabling you to provision and deploy cloud networking and security resources in mere minutes, thus enhancing operational efficiency. Embrace a new era of networking with Alkira, where simplicity and security come together for optimal performance.

At Vaex.io, our mission is to make big data accessible to everyone, regardless of the machine or scale they are using. By reducing development time by 80%, we transform prototypes directly into solutions. Our platform allows for the creation of automated pipelines for any model, significantly empowering data scientists in their work. With our technology, any standard laptop can function as a powerful big data tool, eliminating the need for clusters or specialized engineers. We deliver dependable and swift data-driven solutions that stand out in the market. Our cutting-edge technology enables the rapid building and deployment of machine learning models, outpacing competitors. We also facilitate the transformation of your data scientists into proficient big data engineers through extensive employee training, ensuring that you maximize the benefits of our solutions. Our system utilizes memory mapping, an advanced expression framework, and efficient out-of-core algorithms, enabling users to visualize and analyze extensive datasets while constructing machine learning models on a single machine. This holistic approach not only enhances productivity but also fosters innovation within your organization.

The modern workplace has evolved into a hybrid model, with a significant portion of employees working remotely, accessing essential business applications and data from diverse locations and utilizing various devices in unique ways. Consequently, organizations worldwide are striving to shift from traditional hardware-centric IT frameworks to entirely software-defined infrastructures. Their goal is to empower employees to maintain productivity, security, and a seamless experience, irrespective of their physical locations or the devices and networks they engage with. However, they face numerous challenges, including concerns over data security, the complexities of IT infrastructure, and the rising costs related to establishing a robust digital workspace. In response to these challenges, Accops Digital Workspace offers a comprehensive end-user computing solution grounded in zero-trust principles, facilitating secure and immediate access to business applications from any location, device, or network. The suite of solutions provided by Accops also encompasses virtualization for end-user computing, ensuring that users have a reliable and efficient experience tailored to their needs. This innovative approach not only addresses the immediate demands of the hybrid workforce but also sets the stage for future advancements in digital work environments.

Accops HyWorks empowers today’s workforce with the ability to work flexibly and dynamically from any location, device, and time, significantly boosting job satisfaction and engagement among employees. This all-encompassing solution streamlines the management and security of applications, devices, and networks, ensuring that employees have safe and seamless access to the essential tools they need to excel in their roles. Furthermore, its centralized endpoint management simplifies the oversight of all devices, virtual desktops, and applications from a single point, making it incredibly efficient. Not only does HyWorks foster a secure work environment, but it also alleviates complexities that can distract employees from their core business functions, allowing them to channel their creativity more effectively, which in turn enhances productivity and lowers costs. By virtualizing and delivering desktop applications from a centralized data center, organizations can maintain control over every device, app, and operating system within their network, effectively preventing potential security breaches. The result is a harmonized workplace where technology enhances rather than hinders business operations.