Connect Your Company Data to AI Assistants and Workflows

Your company's most valuable knowledge is often spread across documents, databases, applications and internal systems.
AngryLynx helps you turn that information into AI-powered assistants, intelligent search and automated business workflows Where appropriate, the solution can use the IONOS AI Model Hub as the underlying AI infrastructure.

What we can build

• Knowledge Assistants: Give employees secure, conversational access to internal documentation, policies, manuals, procedures and company knowledge.

• Intelligent Enterprise Search: Search across large document collections using meaning and context instead of keywords alone.

• Customer Support Assistants: Build AI assistants grounded in your product documentation, knowledge base and support content.

• Document Intelligence: Extract, classify, summarize and analyze information from contracts, reports, invoices, manuals and other business documents.

• AI for Existing Applications: Add summarization, semantic search, Q&A, classification, extraction and other LLM capabilities to your existing software.

• AI-Powered Workflows: Connect AI with APIs and business systems to support processes that combine company data, AI reasoning and automated actions.

• AI-Powered Workflows & Agents: Connect AI with APIs, tools, and business systems to retrieve information, support decisions, and automate actions across workflows.

• Classification & Recommendation Solutions: Use AI and embeddings to categorize information, identify similarities, and build recommendation or matching functionality.

Your data + IONOS AI infastructure connected by AngryLynx

Your information rarely sits in one place, and it is rarely in a form an AI model can use directly. Preparing it is a core part of the engagement. We extract, clean, structure and index data from sources such as:

• PDF, Word and other business documents
• Internal knowledge bases
• SQL databases
• File and object storage
• APIs and business applications
• CRM and ERP systems
• Product and technical documentation
• Existing cloud and on-premises data sources

Depending on the use case, the solution can use IONOS AI Model Hub capabilities for text generation and conversational AI, embeddings and semantic search, document collections, image generation, tool calling, or Retrieval-Augmented Generation (RAG).

What you receive

Depending on the agreed scope, the project can include:

• AI use-case and data assessment
• IONOS AI target architecture
• Data ingestion and processing pipelines
• AI model and API integration
• Prompt and application logic
• Embeddings and semantic search, where required
• RAG and document collections, where required
• Tool calling and workflow integration, where required
• Access and permission logic
• Integration with existing applications, APIs, and business systems
• Web application or user interface
• Testing and quality evaluation
• Production deployment
• Monitoring and operational setup
• Technical documentation and handover