On the recordRead 8 Oct 202624 facts
d.AP
Stuttgart, Germany
Plans and prices
Custom enterprise licensing
Priced on request
Based on sources and use cases; not token consumption
Read 8 Oct 2026 · digetiers.com
On the record
- Access controls
- The product describes support for SSO, SAML, role-based access, and granular permissions.digetiers.com · read 8 Oct 2026
- AI agent
- Aluna translates natural language into graph queries and returns answers with their sources, logic and filters.digetiers.com · read 8 Oct 2026
- Audience
- The product is aimed at enterprises seeking a shared knowledge layer for agents, applications, and BI across business systems.digetiers.com · read 8 Oct 2026
- Auditability
- Answers can be traced to their source, joins, filters, and aggregation, and the product describes exporting lineage and reasoning traces for audits.digetiers.com · read 8 Oct 2026
- Commercial model
- Licensing is based on the sources and use cases used, rather than token consumption; the page does not state a price.digetiers.com · read 8 Oct 2026
- Dashboards
- Dashboards are live graph views whose metrics retain inspectable SPARQL definitions and can be embedded in other dashboards and apps.digetiers.com · read 8 Oct 2026
- Data portability
- The ontology is modeled in OWL and can be exported in that open format for reuse on other platforms.digetiers.com · read 8 Oct 2026
- Deployment scope
- The company says d.AP currently runs in cloud environments only.digetiers.com · read 8 Oct 2026
- Deployment timing
- The maker says go-live with five to six sources typically takes three months and each additional source takes one to two weeks.digetiers.com · read 8 Oct 2026
- Federation
- It connects to data in source systems through adapters without copying the data or requiring ETL.digetiers.com · read 8 Oct 2026
- Hosting
- d.AP runs in a European cloud environment, either in the customer's account as a managed service or as SaaS operated by digetiers.digetiers.com · read 8 Oct 2026
- Integrations
- The platform exposes knowledge through MCP, A2A, and REST/JSON, and supports Iceberg data products.digetiers.com · read 8 Oct 2026
- Intended users
- The product is presented for enterprises connecting business knowledge across systems so AI agents, applications and BI tools can use it.digetiers.com · read 8 Oct 2026
- Interfaces
- d.AP exposes knowledge through MCP, A2A and REST/JSON for agents, applications and BI tools.digetiers.com · read 8 Oct 2026
- Knowledge graph
- Its ontology based knowledge graph connects CRM, ERP and analytics through shared semantics without copying data.digetiers.com · read 8 Oct 2026
- Ontology workbench
- The Workbench provides visual ontology modeling, isolated testing of changes and Git based version control.digetiers.com · read 8 Oct 2026
- Portability
- The ontology is stored in OWL and can be exported for reuse on another platform.digetiers.com · read 8 Oct 2026
- Purpose
- d.AP is an AI context platform that models enterprise facts, relationships and rules for use by AI agents.digetiers.com · read 8 Oct 2026
