Built a practice management SaaS platform for an Austrian bootstrapped startup

Qibri is an Austrian bootstrapped SaaS startup building a know-how management platform designed to drive operational excellence across enterprises. The platform gives content ownership to subject matter experts and empowers them to document, maintain, and share guidelines — eliminating the inefficiencies caused by scattered, inaccessible, or outdated internal knowledge.

Qibri set out to solve a structural problem: most organisations fail to connect their internal know-how to daily operations, resulting in duplicated effort, costly errors, and failed transformation initiatives. With clients including Siemens, OMV, AVL, and Brantner, Qibri needed a reliable technology partner to turn this vision into a fully functioning SaaS product.

• No dedicated SaaS solution existed for structured, expert-driven practice management at enterprise scale.
• Most organisations relied on scattered documentation systems — emails, shared drives, unstructured wikis — that created inconsistency across teams and geographies.
• Employees spent an average of 8 hours per week searching for guidelines and documentation, with the average search for a single guideline taking 30 minutes.
• Organisations lost 20–30% of annual revenue to complexity and inefficiency stemming from unstructured know-how.
• 66% of enterprise transformation efforts failed — largely because transformation initiatives had no reliable mechanism to reach employees through updated guidelines.
• Qibri needed a full-stack development partner to build their product from the ground up, without an in-house engineering team.

1. Become a full technology partner

Classic Informatics embedded as Qibri's dedicated development team, taking end-to-end ownership of the product build — from architecture decisions through to feature delivery and ongoing technical support.

2. Build a two-role document workflow

The platform was built around a clear permission model: content experts and approvers can create, review, and approve guidelines; employees can search the system and always receive the latest approved version. This removed version confusion and ensured consistency across the organisation.

3. Design for search speed and content discoverability

A core product requirement was reducing search time from 30 minutes to under 3 minutes. The system was built with structured content taxonomy and fast document retrieval to ensure any employee could find the right guideline quickly, without specialist knowledge of the filing structure.

4. Prioritise content ownership over centralised control

Rather than routing all content through a single administrator, the platform was designed to distribute ownership to the relevant experts — ensuring guidelines stayed accurate and up to date without creating a bottleneck.

5. Deliver complete tech support throughout development

Classic Informatics provided end-to-end technical support across the entire development lifecycle, covering both frontend and backend, enabling Qibri to focus on product strategy and client relationships.

Frontend (React)

• Full user interface for the Qibri web application
• Role-based dashboards for approvers, content owners, and viewers
• Document search and discovery interface optimised for speed and structured navigation
• Content creation and editing flows for subject matter experts

Backend (PHP)

• Document management engine with version control and approval workflows
• Role and permission management system across approver, editor, and viewer roles
• Content taxonomy and tagging infrastructure for structured know-how organisation
• API layer supporting the frontend application

Core Platform Features

• Guideline creation, review, and approval workflow
• Viewer search — employees can find and access the latest approved version of any guideline
• Content ownership model — each guideline assigned to a responsible expert
• Redundancy detection to reduce duplicated know-how content

Qibri launched and successfully onboarded enterprise clients including Siemens, OMV, AVL, Brantner, innogy, and medplan. The platform has processed 15,000+ know-how documents and demonstrably reduced the time employees spend searching for guidelines from 30 minutes to under 3 minutes per search.

Business Impact

• 15,000+ know-how documents processed on the platform
• ~50% reduction in redundant know-how content across client organisations
• Up to 30% savings in material and service costs through cross-silo expert alignment
• 3× improvement in transformation initiative effectiveness
• Average guideline search time reduced from 30 minutes to under 3 minutes
• Enterprise clients onboarded: Siemens, OMV, AVL, Brantner, innogy, medplan, Walstead