DigitFlow provides service‑architect solutions that integrate and cleanse data from existing legacy systems—such as ticketing, CMDB, HR, and document repositories—into a unified, GDPR‑by‑design foundation hosted on‑premise or in a private cloud. Their open‑source pipelines use AI to deliver actionable insights via dashboards, semantic search, and automated workflows like ticket classification and contract analysis, ensuring data sovereignty and avoiding vendor lock‑in for mid‑size enterprises.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations rely on multiple legacy IT systems—ticketing, CMDB, monitoring, spreadsheets, and document repositories—that do not communicate, resulting in fragmented, inconsistent data, manual reporting, and a lack of actionable insights. This siloed landscape leads to wasted effort, poor decision‑making, and risks of vendor lock‑in and non‑compliance with data‑privacy regulations.
Solution
DigitFlow acts as a service architect for established system landscapes, connecting existing data sources into a clean, unified foundation that remains on the customer’s own infrastructure. Using open‑source, GDPR‑by‑design pipelines, they integrate and cleanse data, then apply AI to surface patterns, root causes, and cost drivers. The insights are delivered via dashboards, semantic search, and automated workflows such as ticket classification, chatbot assistance, and contract analysis. All solutions are deployed on‑premise or in a private cloud, ensuring full data sovereignty, no ongoing license fees, and avoidance of vendor lock‑in. Clients can start with a free consultation, prioritize use cases, and iterate from proof‑of‑concept to production, retaining full ownership of the resulting AI models and pipelines.
Target Audience
Primary customers are mid‑size enterprises (250‑3,000 employees) in the DACH region—particularly IT service managers, operations leaders, and compliance officers—who need to unify data, gain evidence‑based insights, and automate routine processes within their existing IT landscape.
Features
- End‑to‑end data integration across heterogeneous sources (ticket systems, CMDB, HR, Active Directory, Excel, documents) with automated quality assurance
- AI‑driven analytics that detect patterns, attribute costs, and generate actionable recommendations in interactive dashboards
- Automated ticket classification, routing, and chatbot support built directly into existing ITSM tools
- Semantic knowledge assistant that provides natural‑language answers with source citations, integrated into Teams, Slack, or service desks
- On‑premise document analysis pipelines that extract clauses, dates, and risks from contracts and other unstructured files, preserving audit trails
- Open‑source, modular architecture compliant with GDPR by design, allowing seamless integration with the customer’s stack and future systems
- Phase‑gated project workflow (consultation, use‑case prioritization, PoC, pilot, scale) with the founding architects remaining accountable throughout