amber provides a European business AI platform that connects to existing company systems—such as SharePoint, Teams, and Confluence—to create a unified, access-rights-aware knowledge layer. The platform offers enterprise search, an AI chat assistant, and autonomous agents, all hosted GDPR-compliant in Europe with support for multiple AI models. It is designed for small and medium-sized businesses to make internal knowledge as easily accessible as web information without data migration.
Funding
Funding not disclosed
Founders
Product
Problem
Small and medium-sized businesses often struggle to make internal knowledge accessible to employees, as data is scattered across multiple systems and grows rapidly in volume. Dependence on individual knowledge carriers and the complexity of existing IT infrastructure make it difficult for teams to find and use the information they need, leading to lost productivity and inefficiency.
Solution
amber provides a unified business AI platform that connects to existing company systems—such as SharePoint, Teams, Confluence, and Jira—to create a shared, understood knowledge layer. The platform offers enterprise search, an AI chat assistant, and autonomous agents that deliver precise, contextual answers with full respect for existing access permissions. By integrating deeply with the company's IT infrastructure, amber enables employees to access internal knowledge as easily as web information, without requiring data migration or manual uploads. All data is hosted in Europe, and the platform is designed to be ready to use within hours, not months.
Target Audience
Primary customers are small and medium-sized European businesses with complex products and projects, particularly those without internal data analysts, seeking to make internal knowledge accessible to employees through AI search, chat, and agents.
Features
- 70+ deep connectors for standard systems like SharePoint, Teams, Confluence, and Jira, plus open interfaces (REST API, WebDAV, IMAP, MCP) for custom solutions
- Hybrid search combining classic text and modern vector search, developed and optimized since 2020
- Multi-LLM support with smart model selection, deep research models, and no vendor lock-in; all models hosted GDPR-compliant in Europe
- Access rights automatically adopted from source systems (e.g., EntraID), ensuring users only see content they are permitted to see
- AI agents and assistants that can take actions in third-party systems via workflow tools like Zapier, Make, and n8n
- ISO27001 certified, SOC2 compliant, GDPR compliant, with data encryption, SSO/2FA authentication, and no training on customer data