80% of data exists in unstructured and dynamic formats like websites, PDFs, emails, and presentations. Traditional methods such as web scraping, PDF parsing, and manual data preparation require expensive engineering resources and constant maintenance. This creates bottlenecks for data teams and slows decision-making.
We experienced firsthand how data teams spent most of their time building and fixing data pipelines made up of multiple scripts, data systems, and manual validation steps.
That's why we founded Kadoa with the mission to build the most accurate and easy-to-use platform for unstructured data.
Our platform helps data and research teams build automated data pipelines. We use AI agents to extract, transform, and integrate data from any unstructured source.
Kadoa has already become the platform of choice for many companies around the globe to extract valuable insights from unstructured data.
Our mighty team is distributed across the globe, with headquarters in Zurich, Switzerland. What unites us is relentless focus, fast execution, and our passion for software craftsmanship. We iterate to greatness.
