Kamium - 2026 Pricing, Features, Reviews & Alternatives

Kamium is a GDPR-compliant generative AI platform deployed exclusively within the customer's own Microsoft Azure environment, with all data hosted on EU servers. It provides access to multiple leading large language models (LLMs) from OpenAI (GPT-4o, GPT-3.5), Anthropic (Claude Sonnet 3.5 and 4), Google (Gemini), Mistral, and open-source alternatives through a single interface. ISO 27001-certified and deployable organization-wide in under one week, Kamium targets mid-sized companies and large enterprises with strict data protection, compliance, or security requirements, including TISAX-certified organizations. Use cases span HR, marketing, IT helpdesk, legal, and communications functions.

The platform supports pre-configured AI assistants for immediate deployment alongside custom assistant creation with configurable system prompts and context. Retrieval-Augmented Generation (RAG) connects company knowledge from SharePoint, Confluence, DMS, ERP, CRM, and databases, with continuous data synchronization to keep AI responses grounded in current organizational data. Additional capabilities include real-time web research with automatic source citations via Perplexity, AI image generation using GPT Image 1 and Gemini 2.5 Flash Image, text-to-audio conversion with multi-speaker support via ElevenLabs, document translation into 30+ languages with DeepL glossary support, Python code execution for data analysis, and web scraping for website-based knowledge integration.

Enterprise connectivity is handled through Microsoft Entra ID, role-based permissions, and SSO integration, with standardized OAuth-based access to 1,000+ tools and data sources. A Microsoft Teams app integration supports adoption within existing workflows. Custom branding, corporate domain operation, and a per-active-user pricing model that excludes inactive accounts support organization-wide rollout. Infrastructure costs are billed directly between the customer and Microsoft, with no vendor-managed shared infrastructure. No customer data is used for AI model training, and no data is shared with LLM providers.