Subtree

Subtree's initial offering consisted of two core products: dotmesh and dothub. Dotmesh was an open-source utility designed to function like "Git for data," allowing developers to capture, version, and share the entire state of a containerized application—including multiple databases and files—in a single atomic unit called a "datado. Dothub served as a centralized cloud repository, akin to GitHub, for storing and collaborating on these datadots. The business model included a free tier for dothub, with paid subscriptions for increased storage and team features.

The company pivoted to focus specifically on the emerging Machine Learning Operations (MLOps) market, rebranding as Dotscience. The core technology was adapted to address the unique challenges of the AI/ML lifecycle. The Dotscience platform provided data scientists and ML engineers with tools for reproducibility, collaboration, and governance. It allowed teams to version control not just code, but also the data, models, and parameters used in experiments, ensuring full provenance and traceability from a production model back to its origins. The platform integrated with existing tools like Jupyter notebooks and GitLab, aiming to bring DevOps best practices to AI development without forcing teams into a restrictive ecosystem. It catered to a growing market of enterprises in sectors like finance and autonomous vehicles investing heavily in AI. Despite securing clients and developing its platform, Dotscience announced it was shutting down in May 2020, citing an inability to secure further funding amidst the global economic situation.