d.AP

Spec sheet

Purpose

d.AP is an AI context platform that models enterprise facts, relationships and rules for use by AI agents.Read 8 Oct 2026 · digetiers.com

Intended users

The product is presented for enterprises connecting business knowledge across systems so AI agents, applications and BI tools can use it.Read 8 Oct 2026 · digetiers.com

Audience

The product is aimed at enterprises seeking a shared knowledge layer for agents, applications, and BI across business systems.Read 8 Oct 2026 · digetiers.com

Integrations

The platform exposes knowledge through MCP, A2A, and REST/JSON, and supports Iceberg data products.Read 8 Oct 2026 · digetiers.com

Headquarters

Stuttgart, GermanyRead 28 Sep 2026 · digetiers.com

Founded

2020Read 28 Sep 2026 · digetiers.com

Access controls

The product describes support for SSO, SAML, role-based access, and granular permissions.Read 8 Oct 2026 · digetiers.com

AI agent

Aluna translates natural language into graph queries and returns answers with their sources, logic and filters.Read 8 Oct 2026 · digetiers.com

Auditability

Answers can be traced to their source, joins, filters, and aggregation, and the product describes exporting lineage and reasoning traces for audits.Read 8 Oct 2026 · digetiers.com

Commercial model

Licensing is based on the sources and use cases used, rather than token consumption; the page does not state a price.Read 8 Oct 2026 · digetiers.com

Dashboards

Dashboards are live graph views whose metrics retain inspectable SPARQL definitions and can be embedded in other dashboards and apps.Read 8 Oct 2026 · digetiers.com

Data portability

The ontology is modeled in OWL and can be exported in that open format for reuse on other platforms.Read 8 Oct 2026 · digetiers.com

Deployment scope

The company says d.AP currently runs in cloud environments only.Read 8 Oct 2026 · digetiers.com

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.Read 8 Oct 2026 · digetiers.com

Federation

It connects to data in source systems through adapters without copying the data or requiring ETL.Read 8 Oct 2026 · digetiers.com

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.Read 8 Oct 2026 · digetiers.com

Interfaces

d.AP exposes knowledge through MCP, A2A and REST/JSON for agents, applications and BI tools.Read 8 Oct 2026 · digetiers.com

Knowledge graph

Its ontology based knowledge graph connects CRM, ERP and analytics through shared semantics without copying data.Read 8 Oct 2026 · digetiers.com

Ontology workbench

The Workbench provides visual ontology modeling, isolated testing of changes and Git based version control.Read 8 Oct 2026 · digetiers.com

Portability

The ontology is stored in OWL and can be exported for reuse on another platform.Read 8 Oct 2026 · digetiers.com

Security and auditability

The product describes granular role based access and traceability from answers to their sources, logic and filters.Read 8 Oct 2026 · digetiers.com

Source connectivity

Federators connect through interface technologies including REST, JDBC, and SOAP to systems such as ERP, CRM, MES, IoT platforms, and document stores.Read 8 Oct 2026 · digetiers.com

Support and sales

The maker offers a live demonstration by appointment and says it replies personally to questions.Read 8 Oct 2026 · digetiers.com

Time to go live

A go live with five to six data sources typically takes three months, and each additional source takes one to two weeks.Read 8 Oct 2026 · digetiers.com

Plans and prices

Every d.AP plan and price →

Where Specifiction places it

• Knowledge Graph Software#16 of 338.1