AI-powered creative automation platform for dynamic multi-channel content scaling.
Overview
Storyteq is an enterprise-grade creative automation and content marketing platform (CMP) designed to streamline global brand production. The cloud-based ecosystem unifies digital asset management (DAM), batch video and banner generation, automated translation, and cross-team approval workflows. By transforming master templates into high-volume localized variants, Storyteq helps fast-growing marketing squads eliminate production bottlenecks.
Founded year:2016
Founder:Lennard Kooy
Team size:100+
Popularity:Recognized industry leader in automated creative design production and global brand execution suites
HQ:Amsterdam, North Holland, Netherlands
Status:Acquired
Funding status:Acquired
Revenue source:Subscriptions
Customer type:B2B
Funding:Acquired by Papirfly and Inspired Thinking Group after institutional venture capital rounds
Pricing:Enterprise
Tech stack:PHP, Laravel, JavaScript, Vue.js, Kubernetes, Jenkins, Google Cloud Platform
Founded in 2016 in Amsterdam, Netherlands by Lennard Kooy alongside veteran digital media engineers, Storyteq began as an agile video creative agency. After recognizing that modern global enterprises wasted immense budget allocations manually translating and resizing promotional banner sets, they engineered a cloud-native template automation compiler. The framework scaled extensively before its enterprise acquisition.
What it does
Generates thousands of localized video, banner, and print asset variations automatically from templates
Centralizes institutional marketing files using a secure AI smart-tagging Digital Asset Management vault
Orchestrates creative brief cycles, feedback annotations, and compliance approvals within interactive hubs
Unlike localized programmatic banner generators that require heavy coding knowledge, Storyteq integrates full-scale creative asset approval workflows alongside enterprise asset libraries out of the box.
Compared to basic visual storage clouds, its engine automates localized batch video generation dynamically.