Vertex AI
Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case.
Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection.
Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.
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Cycloid
Cycloid is the leading unified Internal Developer Portal and Platform, built with a GitOps first approach. With our Portal and Platform, you don’t need to start from scratch to get a fully customized solution.
We optimize the developer experience and operational efficiency by accelerating the delivery of a developer portal and platform, alleviating the cognitive load on IT teams and advocating for FinOps & Green IT practices.
Platform teams design, build and run the platform, enabling end-users to visualize, deploy, manage projects, and interact with cutting-edge DevOps and Cloud automation regardless of skill level, while keeping best practices in place.
It can be consumed through the console, in CLI or in API, and is available as SaaS or self-hosted.
We are the editor of OSS projects TerraCognita: reverse Terraform; InfraMap: infra diagram; and Terracost: cost estimation. We work with global organizations, US and European public institutions and 6 of the top 10 SI service providers.
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IBM Cloud Automation Manager
IBM® Cloud Automation Manager is a versatile, self-service management solution designed for multi-cloud environments, operating on IBM Cloud Private, which equips both developers and administrators to fulfill organizational needs. This platform enables seamless management and service delivery through comprehensive automation, while also allowing developers to create applications that adhere to corporate policies. By leveraging the power of IBM Watson®, users can optimize their operational landscape in just a few minutes. It provides the necessary flexibility for hybrid IT setups, enhances efficiency via self-service capabilities, and ensures governance through robust, enforceable policies along with insightful intelligence to maintain a secure and compliant IT framework. Additionally, developers gain the convenience of self-service access and the ability to automate the entire application lifecycle through the use of prebuilt automation packs, ultimately fostering a more agile and responsive development environment. With these features, organizations can not only streamline their processes but also ensure that their IT operations remain secure and compliant.
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Grace Enterprise AI Platform
The Grace Enterprise AI Platform stands out as a comprehensive solution that fully addresses Governance, Risk & Compliance (GRC) considerations for AI. By providing a streamlined, secure, and effective implementation of AI technologies, Grace ensures that organizations can standardize their processes and workflows across all AI initiatives. It encompasses a complete suite of features necessary for organizations to achieve AI proficiency while safeguarding against regulatory challenges that could hinder AI deployment. The platform effectively reduces barriers to AI access for users in various roles, such as technical staff, IT professionals, project managers, and compliance officers, while still catering to the needs of seasoned data scientists and engineers with optimized workflows. Additionally, Grace guarantees that all activities are meticulously documented, justified, and enforced, covering every aspect of data science model development, including the data utilized for training, potential model biases, and beyond. This holistic approach reinforces the platform's commitment to fostering a culture of accountability and regulatory adherence in AI operations.
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