Product Listings
Amazon Bedrock is a software that provides organizations with access to foundation models for building and scaling generative artificial intelligence applications through an API-based interface. The software enables users to experiment, customize, and deploy models in their workflows, facilitating integration with pre-built and custom large language models, image generators, and other generative AI capabilities. Amazon Bedrock addresses the business need for streamlining AI development, reducing infrastructure management tasks, and accelerating the deployment of machine learning solutions by supporting various model providers and offering workflow orchestration, monitoring, and security features without requiring extensive hardware setup or machine learning expertise.
OpenAI API is a software that provides developers with access to advanced language and image models, enabling the integration of natural language processing, text generation, translation, summarization, and code generation capabilities into applications. The software supports a range of tasks including conversational AI, content creation, search, and semantic analysis by leveraging machine learning models trained on diverse datasets. OpenAI API addresses business challenges such as automating content workflows, enhancing support systems, and streamlining processes that require language understanding and generation. The software offers endpoints for various functionalities and is designed to be scalable for different use cases across industries.
Vertex AI is a software developed by Google that facilitates the building, deployment, and management of machine learning models in cloud environments. The software integrates tools for data labeling, model training, hyperparameter tuning, and model evaluation, supporting both custom and pre-trained models. It allows users to operationalize models with monitoring and automated deployment features, while providing scalability across various data types and use cases. Vertex AI addresses business challenges related to implementing machine learning solutions by offering a unified platform to streamline workflows, reduce maintenance complexities, and enable version control and collaboration among teams.
Amazon Q Business is a software designed to facilitate enterprise search and information retrieval across organizational data sources. It integrates with various business applications and repositories, enabling users to ask questions in natural language and receive relevant responses based on internal content, documents, and knowledge bases. The software provides tools for secure access management, content indexing, and automated summarization, supporting compliance and data governance requirements. It is intended to help employees quickly locate information, enhance decision-making processes, and improve workplace productivity by reducing time spent searching for internal resources.
Microsoft Foundry is a software designed to assist organizations in building, deploying, and managing artificial intelligence solutions at scale. This software supports the creation of custom AI models and integrates with existing data sources and business processes. It offers tools for rapid experimentation, model training, and operationalization, enabling organizations to streamline the development of AI-based applications. Microsoft Foundry addresses challenges such as data integration, model governance, and collaboration among development teams, helping businesses accelerate AI adoption while maintaining control and compliance. The software is designed to be used by data scientists, machine learning engineers, and business analysts working on enterprise-level machine learning projects.
Amazon SageMaker is a software that enables developers and data scientists to build, train, and deploy machine learning models at scale. The software offers a managed environment that supports various machine learning frameworks and algorithms, including built-in tools for data labeling, model tuning, and data preparation. It provides infrastructure automation for distributed training, as well as model hosting for real-time and batch inference. Users can take advantage of integrated Jupyter notebooks to perform data exploration and preprocessing. Amazon SageMaker supports deployment across cloud and edge environments, helping organizations accelerate and standardize machine learning workflows. The software addresses the challenges of operationalizing machine learning by streamlining development and deployment processes.
Oracle Cloud Infrastructure is a software platform that delivers compute, storage, networking, and database capabilities through a cloud environment. The software supports enterprise workloads by providing scalable and secure resources that can be configured to meet various business requirements. It offers features such as virtual machines, bare metal servers, managed Kubernetes, block and object storage, as well as automation tools for deployment and management. The software also provides monitoring, identity management, and integrated security to address data protection and compliance needs. Oracle Cloud Infrastructure is used to support application development, data analytics, and migration of on-premises workloads to the cloud while optimizing performance and cost efficiency.
An enterprise-grade AI development studio that supports the adoption of AI use-cases from data through deployment by leveraging a collection of foundation models, including IBM’s Granite models and 3rd party models, a Prompt Lab interface and APIs/SDKs to support agentic and RAG-based use cases with or without code, a data science toolset to build AI/ML models automatically, as well as a collection of visual data pipelines and flows, and synthetic data generation – all running on a scalable, open and trusted, hybrid AI infrastructure.
Airia is an enterprise AI security, orchestration, and governance platform designed to support the deployment and operation of AI systems across organizations. The platform provides controls for managing AI agents, models, applications, and data sources within centralized workflows.
Airia helps organizations address security, governance, and operational challenges associated with agentic and model-driven AI environments, including policy enforcement, access management, monitoring, and risk reduction. It is intended for use in regulated and complex enterprise settings where oversight, auditability, and control are required.
By integrating orchestration and governance capabilities, Airia supports organizations in operationalizing AI while maintaining consistency, visibility, and compliance across AI use cases.
Alibaba Cloud Model Studio is a software designed to facilitate the end-to-end development and management of artificial intelligence models. The software supports data processing, model training, evaluation, and deployment within a collaborative environment. It enables automated machine learning pipelines and model management, providing tools for experiment tracking, resource allocation, and version control. The software addresses the challenge of operationalizing AI for businesses by offering scalable infrastructure and integrated workflows, allowing users to build, train, and deploy models without managing underlying resources. Model Studio supports multiple frameworks and provides visualization features to monitor performance throughout the model lifecycle.
IBM watsonx is a software platform designed to facilitate the development, training, and deployment of artificial intelligence models and applications. The software provides tools for foundation model management, generative AI workflows, and data governance, allowing organizations to build custom AI solutions tailored to specific business needs. It supports data preparation, model lifecycle management, and observability, aiming to address challenges related to scalable AI implementation and compliance. By integrating capabilities for accessing structured and unstructured data, IBM watsonx seeks to streamline workflows in environments that require automation, decision support, and advanced analytics, assisting organizations in managing the complexities associated with operationalizing artificial intelligence.
LangSmith is a software designed to support the development, testing, and monitoring of language model applications. The software provides tools for evaluating performance, inspecting outputs, and tracking operations within language-driven systems. LangSmith enables users to analyze model outputs, identify errors, and optimize data flows, facilitating the management of application quality and reliability. By offering instrumentation and debugging capabilities, the software addresses challenges related to building robust and efficient language model-powered applications in business environments.
Orkes is a software platform designed to orchestrate and automate workflows for microservices and distributed systems. The software offers tools for managing event-driven and long-running processes through features such as workflow modeling, state management, monitoring, and scalability support. It enables developers and operations teams to define and execute complex business logic and integrations, helping to address challenges related to reliability, error handling, and observability in cloud-native architectures. Orkes supports integration with various data sources and cloud environments, providing capabilities for tracking workflow executions and mitigating operational risks within software development and deployment processes.
Palantir AIP is a software designed to support organizations in deploying and managing artificial intelligence solutions for complex data environments. The software integrates with existing systems to facilitate model development, deployment, and monitoring while ensuring compliance and security standards are maintained. It provides tools for data ingestion, governance, and visualization to help users operationalize AI-driven workflows across various departments. Palantir AIP addresses the challenge of leveraging large-scale datasets and transforming them into actionable insights, enabling users to automate processes, enhance decision-making, and manage the lifecycle of AI models in enterprise settings.
Clarifai Platform is a software that provides tools for building, deploying, and managing artificial intelligence workflows focused on computer vision, natural language processing, and audio data. The software supports model training, inference, and data labeling, allowing users to handle a variety of unstructured data types. It features an interface for model creation, data annotation, and workflow automation, as well as capabilities for integrating with external data sources and operational systems. Clarifai Platform is designed to assist businesses in developing and deploying AI applications that automate tasks such as image and video analysis, content moderation, and document classification, addressing the business need for scalable and efficient data processing and analysis.
ModelArts is a software developed by Huawei that provides a platform for building, training, and deploying artificial intelligence models. The software offers tools for data preprocessing, model development, and model management, supporting various machine learning frameworks. ModelArts includes automated machine learning capabilities, facilitating model development without extensive coding. It allows users to manage resources for training and inference and enables model deployment in multiple environments. The software is designed to address challenges in AI development, such as data integration, model versioning, and model lifecycle management, aiming to streamline workflows for data scientists and businesses working on AI applications.
Enterprise h2oGPTe is an agent-oriented generative AI platform developed by H2O.ai for building, governing, and operating AI agents in enterprise environments. The platform enables organizations to create task-specific AI agents that reason over enterprise data, use tools, follow guardrails, and collaborate across workflows while meeting strict security, compliance, and governance requirements.
h2oGPTe agents combine large language models with retrieval-augmented generation (RAG), structured data access, tool execution, and policy enforcement to perform real business tasks such as research, analysis, summarization, reporting, and decision support. Agents can be configured with scoped data access, approved tools, and behavioral constraints, ensuring predictable and auditable outputs. Built-in observability, evaluation, and permission controls enable enterprises to monitor agent behavior, measure performance, and safely scale adoption across teams and use cases.
Tencent Cloud AI Digital Human is a software designed to generate realistic digital representations of humans for various business applications. The software leverages artificial intelligence technologies such as speech synthesis, natural language understanding, and facial animation to create virtual characters that can interact with users in real time. It aims to facilitate customer service, marketing, and remote education by providing automated engagement through personalized digital avatars. The software supports multilingual communication and customizable appearances, enabling organizations to deliver interactive experiences and streamline digital interaction processes across multiple industries.
Ketryx is a software designed to support the development and management of regulated software systems, particularly in industries requiring compliance with standards such as those for medical devices. The software provides features for requirements management, traceability, and automated documentation generation, helping users align development workflows with regulatory guidelines. Ketryx integrates with popular development tools and platforms to facilitate continuous compliance monitoring and change management, addressing challenges related to documentation, risk mitigation, and process transparency throughout the software development lifecycle.
Lingo is a software developed by SandLogic that focuses on natural language processing and understanding capabilities. The software provides features that enable machines to interpret, analyze, and generate human language data, supporting tasks such as speech recognition, text analysis, language translation, and conversational AI. Lingo is designed to address business challenges related to automating customer interactions, extracting insights from unstructured text, and enhancing communication between users and digital systems. The software supports customizable language models and workflow integrations, enabling organizations to streamline operations by leveraging advanced language technologies across various applications.