At DataBagel, we understand the next generation of AI must be trained on high-quality data that reflects how teams actually work. Messy tools, real conversations, integrations and workflows. Much of this data is stored and owned by private companies.

Our job is to turn complex, multi-app company data into safe, anonymised training assets for AI labs. We strip out what shouldn’t leave, protecting the people and their identities, while preserving the signals that actually matter. No magic claims. Just solid engineering and clear safeguards.

We strongly believe the companies selling this data must be fairly compensated. Ethical sourcing isn’t just about privacy. It’s about fairness at all levels.

DataBagel exists to make this exchange possible. We help organisations give their data a second life in AI development without losing control, and we help AI labs train on real-world signals they can trust. Better AI, built responsibly, with everyone at the table.