AI Tools: ready-to-use artificial intelligence APIs

Integrate artificial intelligence into your projects with specialized APIs, without managing the infrastructure and with the security of the Aruba Cloud ecosystem.

  • APIs ready to integrate into apps and workflows
  • Tools for text, documents, and knowledge bases
  • Data processed in Europe and GDPR compliance

Add more value to applications and processes with ready-to-use AI capabilities

AI Tools are artificial intelligence APIs designed to integrate AI features into applications, platforms, and business processes.

They provide ready-to-use services for practical use cases: text, documents, data extraction, and knowledge bases, with structured, optimized outputs.

API integration

Integrate your applications, platforms, and workflows with AI Tools through APIs supported by simple, clear documentation.

Specialized features

Manage text, documents, data extraction, classification, validation, and knowledge bases with dedicated endpoints.

Simplified scalability

Get started quickly and scale over time, without managing models, runtime environments, or dedicated resources.

Data under control

Use services based on European data centers, with data processed in Europe and control over data localization and governance.


AI Tools: ready-made responses for your use case

AI Tools do more than query a generative model: they process the output, organize it, and adapt it to the process you want to automate.

Get structured text, data, or answers that are easier to integrate into applications, platforms, and business workflows.

Text Management

Generate, translate, summarize, and rewrite text for content, email, tickets, customer care, and localization. Keep tone and style consistent, with outputs ready for business contexts.


  • Endpoints: 8 features
  • Access: REST API
  • Channels: Cloud Management Platform, API

Coming soon

OCR & Info Extraction

Analyze PDFs, images, and complex documents to extract structured information, such as IBANs, tax data, and dates. Support onboarding, case management, and document checks.


  • Endpoints: 19 features
  • Access: REST API
  • Channels: Cloud Management Platform, API

Coming soon

Knowledge Base Assistant

Index company documents and content to create AI-searchable knowledge bases for document assistants, internal portals, customer support, and advanced search. Get answers based on traceable sources, also through semantic search and RAG.


  • Endpoints: 9 features
  • Access: REST API
  • Channels: Cloud Management Platform, API

Examples of what you can do with AI Tools

Manage text

Generate, correct, summarize, and adapt content for email, tickets, web pages, documentation, and business communications.

Extract data

Turn PDFs, images, and complex documents into structured data, ready to be validated and integrated into business systems.

Support customer care and back-office teams

Create contextual responses, summarize requests, classify documents, and automate repetitive activities.

Create knowledge bases

Index company documents and content to make them searchable and queryable through AI.

Validate information

Check data such as IBANs, European VAT numbers, Italian tax codes, and dates with tools designed for Italian and European requirements.

Integrate AI into digital products

Add AI features to existing applications, portals, SaaS products, and platforms via API.

From AI Tools to infrastructure: scale your AI projects

AI Tools address specific application needs and return outputs already processed for your use case. When your project requires direct access to models, GPU capacity, or dedicated environments, you can extend your architecture with Aruba Cloud AI and cloud services.

AI Models

Access AI models via API with clear pricing and pay-per-use billing. Integrate processing based on specific models into your projects.

GPU on Demand

Add GPU capacity to your Kubernetes environments for AI workloads, Machine Learning, rendering, and analytics.

GPU servers

Use physical servers with GPU for AI projects that require dedicated resources, isolation, and control over the environment.

Why choose Aruba Cloud for artificial intelligence

Progressive scalability

Start with ready-to-use APIs and expand your architecture with GPU, dedicated servers, Kubernetes, private cloud, and managed services.

Integrated ecosystem

Combine AI Tools, compute, storage, network, backup, and custom solutions in a single cloud ecosystem, reducing complexity and fragmentation.

Specialist support

Rely on technical and consulting expertise to design complex AI architectures for enterprise projects or regulated scenarios.

European infrastructure

Develop cloud and AI projects on Aruba data centers in Italy and European infrastructures, with a focus on data residency, governance, and GDPR.

Frequently asked questions about AI Tools

  • Aruba AI Tools is a catalog of artificial intelligence tools available via API, designed to help companies, development teams, and partners integrate AI features into their applications and workflows.

    They allow you to use AI for practical activities such as text generation, translation, summarization, document analysis, OCR, data extraction, semantic search, and the creation of intelligent knowledge bases, without directly managing models, infrastructure, or technical complexity.

  • AI Tools are designed for companies, IT teams, developers, software houses, system integrators, and partners that want to add artificial intelligence features to digital products, business processes, or existing platforms.

    For example, they can help automate back-office activities, improve document management, support customer care, create AI assistants based on knowledge bases, or integrate text generation and review tools into applications already in use.

  • The AI Tools catalog includes three main families: Text Management, OCR & Info Extraction, and Knowledge Base Assistant.

    With Text Management, you can generate, summarize, translate, correct, rewrite, expand, or shorten text. With OCR & Info Extraction, you can extract text and structured data from documents, recognize entities, classify content, and validate information such as IBANs, European VAT numbers, and Italian tax codes. With Knowledge Base Assistant, you can create knowledge bases, index documents, run semantic, lexical, and hybrid searches, and build RAG experiences with traceable sources.

  • Yes. AI Tools follow an API-first approach and can be integrated into existing applications, platforms, business workflows, and digital services.

    They are designed to help technical teams use specialized AI features without building prompts, pipelines, validation systems, or dedicated infrastructures from scratch. The APIs connect AI services to existing processes, reducing development time and operational complexity.

  • A generic AI model often requires configuration, prompt engineering, output management, and additional controls before it can be used in a real business process.

    AI Tools provide application endpoints designed for specific use cases: generating a response, summarizing a document, translating text, extracting data, classifying content, or querying a knowledge base. This gives you features that are closer to operational needs, with more structured outputs that are easier to integrate into business systems.

  • Aruba AI Tools is developed around European infrastructure and a strong focus on compliance with the European regulatory framework. The service is built around European data centers, data processed in Europe, and control over data localization.

    This is important for companies and organizations that want to adopt artificial intelligence solutions while maintaining greater control over data residency, processing, and governance.

  • Data sent to Aruba AI Tools via API is processed in Aruba’s Italian data centers, according to the service terms.

  • No. AI Tools are designed to integrate AI features via API without directly managing models, runtime environments, or the underlying infrastructure.

    For projects that require direct access to models or dedicated compute resources, you can extend the architecture with AI Models, GPU on Demand, GPU servers, or private cloud solutions.