d.AP is unclaimed —

d.AP

The AI Context Platform·digetiers.com

d.AP is an AI Context Platform that turns enterprise knowledge into a machine-interpretable knowledge graph built on RDF/OWL standards. It connects to existing source systems (ERP, CRM, MES, IoT platforms, document stores) via federators without requiring migration, and serves a unified, governed knowledge layer to AI agents, chats, apps and BI tools through MCP, A2A and REST endpoints. Its AI agent, Aluna, answers natural-language questions with full provenance and traceability to source data, aiming to eliminate hallucinations. The platform runs in a European cloud environment, either as a customer-managed deployment or fully as SaaS, and keeps ontologies fully exportable in the open OWL format.

What it's for

Service: classify support tickets without opening multiple systemsSales: unify vehicle structure, sales and importer data into bill-of-materials viewsSupply Chain: identify suppliers, parts and routes affected by failures before downtime occursQuality: trace defects back through engineering, production and after-salesControlling: real-time transparency across budgets and forecastsRevenue: connect CRM, contracts and support to find revenue potentialArchitecture: see dependencies across systems, processes and costsOperations: plan production with a live view of orders, utilisation and defectsAfter sales: spot churn risk before contract renewalPurchasing: calculate commodity price exposure through to series, option variant and supplier

Features 15

Aluna AI agent providing answers with full derivation, sources and explanation
Analysis Agent for natural-language data analysis
Connects to ERP, CRM, MES, IoT platforms and document stores
European cloud hosting (SaaS or customer-managed deployment)
Federators connecting to REST, JDBC, SOAP and other interface technologies
Full export of ontology, mappings and rules in OWL format
GDPR-compliant, auditable architecture with full provenance tracing
Knowledge graph built on RDF/OWL open standards
Licensing based on sources and use cases, not token consumption
MCP, A2A and REST endpoints for consumers (chats, agents, apps, BI)
Metrics Library for KPIs, metrics and evaluations, referenceable via API
No migration required - federates across existing source systems unchanged
Ontology Workbench: visual editor for OWL modelling and RML mapping
Role-based and granular access control
Single Sign-On (SSO) support

At a glance

API

TypeWeb app

DeploymentCloud

PlatformsWeb

LanguagesEnglish, German

Forenterprises, manufacturing companies, automotive OEMs & suppliers, data-intensive sectors (insurance, finance, healthcare)

CompanyDigetiers

Complianceself-reported

GDPR

Pricing

Licensing is based on the sources and use cases used, not on token consumption; exact prices are not publicly listed and require contacting the company.