archmax provides an open‑source semantic layer that sits atop enterprise applications and data, giving AI agents the business context they need to answer natural‑language queries accurately. By curating and documenting data relationships, it enables reliable analyses and document generation while keeping full control over data sovereignty and costs. The solution can be deployed on the customer’s infrastructure or used as a managed service, built on open standards.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises struggle to give AI agents reliable business context, leading to inaccurate answers and reliance on proprietary, opaque solutions that compromise data sovereignty and increase costs.
Solution
Archmax offers an open‑source semantic layer that sits on top of existing enterprise applications and data sources. By curating a documented, machine‑readable view of a company’s data model, it enables AI agents to interpret queries with full awareness of business logic and relationships. The layer runs on the customer’s own infrastructure, ensuring that data never leaves the organization and that costs remain transparent. Built on open standards, the solution integrates with any AI model and supports natural‑language queries across functions such as sales, HR, finance, and cost management. This approach delivers reliable, well‑founded insights without vendor lock‑in or guesswork.
Target Audience
Primary customers are mid‑size to large enterprises that need to empower internal AI agents or analytics platforms with accurate business context while maintaining control over their data.
Features
- Open‑source semantic abstraction layer that maps enterprise data to a unified, documented schema
- On‑premises deployment options preserving full data sovereignty and control over query logs
- Compatibility with major AI models via standard APIs, enabling plug‑and‑play integration
- Natural‑language query interface that translates user intent into context‑aware data retrieval
- Support for multiple business domains (sales, HR, finance, cost analysis) through customizable ontologies
- Extensible architecture that avoids vendor lock‑in and allows seamless integration of additional tools