Co-founding a business is very demanding.
Both Andreas and Emil understood this. So before formalising Spirelight, they stress-tested the partnership first. They ran freelance projects together through the summer of 2024 to find out whether they would work well together before committing to building something together. The working relationship held up. By the time there was a need to build the technical infrastructure needed to make Spirelight a scalable business, Gustav joined and built the platform.
Denmark isn't the first place that comes to mind when you think about AI data infrastructure. But that's precisely the opportunity. Across the European Union, high-quality, GDPR-compliant speech data is scarce, and as regulation tightens, it's becoming one of the most critical parts of the industry.
The structure of Spirelight today reflects that reality.
Andreas manages sales, client relationships, and understanding of what each project actually requires. Emil handles reporting, legal compliance, in-person checks on contributors, and the organisational structure that keeps a growing business coherent. Gustav builds and maintains the technical platform that enables delivery at scale.
As demand increased, additional team members were onboarded to build the infrastructure and support operations, allowing Spirelight to serve more clients without compromising quality. Alongside the founding team, Spirelight has project managers and a crowd management specialist who close the gap between contributor commitments and actual delivery.
AI continues to advance across industries, and speech data remains one of the few inputs that cannot be automated, hence the need to collect and manage it with precision to ensure adherence to various dialects. They have to be collected with genuine quality control, fair compensation for contributors, and a legal infrastructure that holds up to scrutiny. That is exactly why Spirelight Data Solutions exists.
The goal is to be one of the leading companies in Europe for human data and AI training data. What makes that goal credible is the five years of lived experience and a team structured specifically around what the business actually requires.