The Highlights of ai.go

A future-ready platform for intelligent work.
ai.go combines an autonomous multi-agent system with powerful RAG technology, context-specific workspaces, and an intuitive chat interface. It seamlessly integrates diverse data sources through standardized interfaces—enabling efficient research, analysis, and collaboration within one unified environment.

Centralized administration and security functions ensure transparency, data protection, and compliance at the highest standards. With modular interfaces, EU-based hosting, and comprehensive services such as project support, customization, training, and enterprise-grade assistance, ai.go provides a secure and scalable foundation for professional use.

Core Functionality

Autonomous, self-organizing multi-agent system with specialized agents (e.g., web research, data analysis, code generation) coordinated by an orchestration agent for dynamic team assembly.
Retrieval-Augmented Generation (RAG): Combines semantic vector search with context-sensitive keyword search, supporting numerous document formats (PDF, MS Office, Markdown, TXT, etc.) including OCR.
Workspace concept: Context-specific environments with defined data sources, system prompts, agent focus, and access rights.
Intuitive chat interface with agent and chat modes, structured follow-ups within a conversation, file upload, and collaborative editing features.
Integration of various data sources through:
- File upload (RAG, vectorization, and storage in the knowledge base)
- MCP adapters for ERP, CRM, DMS, and databases
- A2A protocol for agent-to-agent communication between AI systems

Administration and Management

Full control with enterprise-grade governance.
Central management of chats, prompts, LLMs, workspaces, and data sources
User and role management (RBAC) with fine-grained permissions
Authentication controls (user/password, 2FA, passkeys)
License and cost management including electronic invoicing
Messaging function for system-wide or manual announcements
Extensive governance tools: audit trail, safelists, rate limits, admin switches, emergency shut-off

Integration and Interfaces

REST API for programmatic access with configurable parameters
Embeddable chat client for websites with workspace-driven context
Modular, extensible data source adapters (MCP) and A2A connections

Security and Compliance

EU hosting on servers owned by a German provider; all models (LLMs) that process data run exclusively on German servers, ensuring data never leaves the EU.
Data remains on German servers and is used only for customer-defined purposes within ai.go (never for training).
End-to-end encryption (at rest & in transit), multi-tenancy with isolated data storage.
Certified, geo-redundant data centers (ISO 27001, ISO 9001, SOC 1/2 Type II, PCI DSS, and more).
Fully compliant with GDPR and the European AI Act; no high-risk applications; technical safeguards against critical actions.
Optional, controlled access to non-EU LLMs for specific use cases.

Technology Stack

Robust, modern, and built for performance.
Backend: Java (system functions), Python (AI logic, data processing), microservices via gRPC, external integration via REST API
Databases: PostgreSQL (structured data), Milvus (vector data)
AI code execution: Isolated, temporary Docker containers
Hardware: AMD EPYC servers, NVIDIA B200/B300 GPUs
Frontend: JavaScript SPA (micro-frontend), bidirectional real-time communication via WebSockets

Operation and Support

Training programs for end users, administrators, and decision-makers
Consulting services for integration, strategy, and compliance
Enterprise support with SLA, escalation management, and a dedicated account manager