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comdaily GmbH

comdaily GmbH

Enterprise Software

AI Accelerator Batch 1

About

comdaily ist eine Plattform für Generative Engine Optimization, die Marken im Zeitalter der KI-gesteuerten Suche sichtbar, konsistent und vertrauenswürdig hält. Unsere Technologie analysiert und optimiert Markenkommunikation, damit sie über KI-Modelle wie ChatGPT oder Perplexity hinweg sichtbar bleibt. So können Unternehmen ihre Marke gezielt steuern, ihre Sichtbarkeit erhöhen und eine nachhaltige Wiedererkennung aufbauen.

Quick Facts

  • Location
    Köln
  • Industry
    Enterprise Software
  • Accelerator
    KI-Accelerator NRW Batch 1

comdaily.ai/de

About This Startup

The Problem

Brand communication across multiple channels (social media, website, documents) is often inconsistent. This leads to declining customer trust, perceived quality loss, and brand value erosion. Traditional brand analysis takes ~4 months and costs up to €40,000.

The AI Approach

comdaily uses multiple LLMs with RAG architecture for real-time analysis of brand communication. The system detects inconsistencies across all channels and generates automated reports – in under one minute instead of months.

Which AI insights this startup contributes from practice

AI Problem Space
  • Brand consistency measurement across multi-channel communication
  • Real-time analysis of large communication volumes (social media, docs, website)
  • Automated brand value monitoring as a continuous process
Practice & Use-Case Signals
  • 30+ test clients before launch (including Bertelsmann, Bayer, Telefónica Deutschland)
  • First paying customer January 2025
  • Reduction of analysis time from ~4 months to <1 minute validated
  • Multi-brand management for agencies works in pilot operation
Knowledge & Learning Signals
  • Multi-LLM architectures with RAG produce comparable, reproducible results
  • Scientifically validated approach through research collaboration
  • EU AI Act + GDPR compliance is achievable for brand analytics AI
  • API access to social platforms (Meta, LinkedIn) enables deeper insights
Talent & Capability Signals
  • Intersection of AI/ML engineering with brand science expertise
  • Academia-industry collaboration as a success pattern
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