DBbun LLC

HQ
Cambridge, Massachusetts, USA
Total Offices: 2
1 Total Employees
Year Founded: 2025

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DBbun — Fuel for a Data-Hungry World
DBbun LLC creates unique, high-quality synthetic datasets for research, analytics, and machine learning. DBbun’s datasets are completely synthetic, generated intelligently using advanced AI on publicly available resources. The DB stands for database, and the bun stands for bundling many pieces of data together in one place. Each dataset is a carefully assembled mix of variables, statistics, and outcomes.

Mission:
DBbun’s mission is to build an extensive, evolving library of synthetic datasets that are:
Synthetic — no patient or customer data.
Public-domain based — generated only from open resources.
Responsive to demand — crafted in response to researcher, educator, and industry needs.
Cross-domain — starting with healthcare, but not limited to it.

Why DBbun?
Synthetic by design: Never based on real patients.
Advanced Generative AI: Transforms public scientific sources into new, high-quality datasets.
Immediate usability: Delivered in CSV/Parquet.
Commercial licensing: Straightforward terms for private, commercial, or enterprise use.

Who Uses DBbun?
Startup Companies in Stealth or Early Growth: Need realistic datasets to test prototypes without privacy concerns. Useful for showing traction to investors or validating product pipelines.
Consulting Firms & Independent Analysts: Can run proof-of-concept analyses for clients without waiting for access to sensitive real-world data. Synthetic data helps them demonstrate methods, models, or dashboards.
Educational Institutions & Instructors: Professors and trainers can use synthetic datasets for hands-on workshops. Students can safely practice machine learning, statistics, and prediction modeling.
Hackathons, Bootcamps, and Training Programs: Organizers can provide ready-to-use, realistic datasets for competitions and training exercises.



DBbun LLC Offices

Remote Workspace

Employees work remotely.

DBbun is a new company (Sept. 2025).

Typical time on-site: None
HQCambridge, Massachusetts, USA
United States

Technology We Use

AWS (Amazon Web Services)
AWS (Amazon Web Services)
SERVICES
BigQuery
BigQuery
DATABASES
C#
C#
LANGUAGES
GitHub
GitHub
SERVICES
Google Cloud
Google Cloud
SERVICES
Microsoft Azure
Microsoft Azure
SERVICES
Microsoft SQL Server
Microsoft SQL Server
DATABASES
PostgreSQL
PostgreSQL
DATABASES
Python
Python
LANGUAGES
R
R
LANGUAGES
SQL
SQL
LANGUAGES