Company Performance Metrics
We started in late 2019 building training data for machine learning teams. Over four years, we delivered large-scale projects for Fortune 500 companies and global technology unicorns. Then we asked: what if we could build the entire AI infrastructure ourselves? So we pivoted to a Saas model. We spent two years building AI technology — a
comprehensive AI development platform, distributed computing, workflow automation, voice AI agents. But throughout this journey, we never stopped receiving requests for training data. Fortune 500 companies we'd served before kept returning, and kept complimenting the quality of our work. So we took everything we built and repositioned around one mission. Today, we combine six years of enterprise data experience with proprietary technology to deliver training data for voice AI and LLMs.
