An AI-powered document pipeline that automates recurring reports end-to-end. PipeDok connects your data sources (Excel, databases, APIs, PDFs) and produces finished, audit-proof Word documents in seconds. Every number traceable back to its source cell.
AI agents, DSL-based template engine, on-premise deployment, GDPR-compliant.
Supports Excel, CSV, SQL databases, REST APIs, PDFs, and scanned documents. Output as Word with embedded Origin Tracking comments. No cloud LLM, no US servers.
Seconds
Report Generation
Complete
Origin Tracking
100%
On-Premise & GDPR
Every reporting season, the same process repeats: gather data from Excel files, databases, PDFs. Copy numbers into Word. Fix formatting. Check for typos. Start over when the source data changes. This is where errors happen and where time is wasted.
PipeDok builds a custom pipeline for exactly your workflow. Data flows in, validated reports come out. In seconds. With full traceability from every output value back to its source.
Connect Excel files, SQL databases, REST APIs, CSV exports, PDFs, and scanned documents in a single pipeline run. PipeDok handles structured, semi-structured, and unstructured sources in the same pipeline.
AI-powered plausibility checks run on every input before data reaches your template. Outliers, missing values, and format mismatches are caught and flagged, not silently passed through.
AI reads and understands unstructured PDF documents: audit reports, certificates, regulatory notices. Data is extracted, validated, and fed into the pipeline alongside your structured sources.
An automated pipeline avoids copy-paste-errors that can easily happen during manual report creation.
Every value in the finished Word document carries an embedded comment pointing to its source: the exact Excel cell, database row, or PDF field it came from. The audit trail writes itself.
PipeDok generates professionally formatted Word reports in your corporate design on demand: tables, charts, and conditional sections all populated automatically from your pipeline output
A flexible DSL-based template system separates layout from data. When regulatory requirements change, update the template once: no pipeline rebuild, no manual rework across dozens of documents.
Every pipeline run is logged with its inputs, validation results, and output. Re-generate any past report from the same data state, or compare outputs across reporting periods.
Sensitive financial, healthcare, and regulatory data never leaves your infrastructure. PipeDok runs fully on-premise: no cloud LLM, no US servers, no third-party data processors. GDPR compliance is built into the architecture, not handled through contracts.
The pipeline is built and maintained by IRIAN, focused on the DACH market and its regulatory landscape. Typical implementation: four to eight weeks from analysis to production.
Your data stays in your infrastructure. No cloud LLM, no US servers, no external API calls with sensitive content. Full control over where your data goes and where it doesn't.
BaFin, Solvency II, MiFID II, BNetzA, CSRD, ESRS — PipeDok pipelines are built for the reporting obligations of regulated industries. Prescribed formats, automated data flows, and a complete audit trail for every generated document.
One week to analyze your workflow and define the scope. Four to eight weeks to build the pipeline. Then the system runs: for every reporting season, without additional effort.
