Training datasets
Create structured examples for fine-tuning and model development without manually turning source material into thousands of records.
ZeroDriveX helps teams transform documents and domain knowledge into useful datasets for AI training, retrieval and evaluation—while keeping every result tied back to its source.
Choose the output you need. ZeroDriveX handles the preparation, transformation, review and traceability behind it.
Create structured examples for fine-tuning and model development without manually turning source material into thousands of records.
Prepare clean, attributable knowledge for RAG systems and assistants that need answers grounded in your own material.
Build realistic questions, expected answers and reviewable examples for testing model quality before deployment.
The workspace guides you through the job without requiring your team to manage a complicated data-engineering pipeline.
Upload the documents and structured data you are authorized to process, then choose the kind of dataset you want.
The platform extracts useful information, creates records, checks them against their sources and sends weak results back for revision.
See quality status and source links, then download the finished dataset and supporting provenance package.
AI data is only useful when you can understand its origin and review its quality. ZeroDriveX keeps source relationships and review results attached throughout the workflow.
Turn specialized internal knowledge into examples that help models perform better in your field.
Prepare source-grounded material for assistants that need to answer from approved company or research content.
Create repeatable evaluation sets for measuring accuracy, usefulness and source-grounded behavior over time.
ZeroDriveX can run a bounded pilot against your specification, delivery format and acceptance criteria. Enterprise work can be tailored for specialized synthetic data, model evaluation, agent behavior datasets and custom data-development programs.