🚀 Private codebase sourcing for AI training data

Private Codebase Sourcingfor LLM Training & Evaluation Datasets

Curated, well-maintained repositories with real commit & PR history — built for fine-tuning, long-context evals, and internal benchmarks.

For teams sourcing high-quality code data for model training and evaluation.

1000+
Maintained Repos
Curated with real commit history
90+
Days of History
Minimum activity window per repo
0%
Synthetic Code
No toy projects, no generated repos
Fast
Turnaround
Small batches to large datasets

High-Quality Codebases for AI Training Data

We provide private codebase sourcing for teams building LLM training datasets and evaluation benchmarks. Every repository is curated for real commit history, clean structure, and maintainable architecture.

What you get
Verified code repositories delivered with metadata and documentation — so you can build AI training data and evaluation datasets with confidence.
Real commit & PR history
Programmatic quality checks
Human review
Secure transfer

Key Services

Private codebase sourcing for AI training datasets, evaluation benchmarks, and internal copilots

Curated Private Codebases

Production-grade repositories with real contributors, PRs, and engineering practices.

Real HistoryActive PRsClean Architecture

Fast, Repeatable Delivery

From requirements to a reviewed shortlist quickly — scale from samples to full datasets.

Small BatchesScale UpClear SLAs

Built for Model Training

Use for fine-tuning, repo-level evaluation, refactor/bugfix benchmarks, and long-context tasks.

TrainingEvaluationBenchmarksLong Context

Compliance-First Sourcing

Contract-backed sourcing with clear ownership transfer and compliant delivery paths.

Contract BackedClear RightsSecure Transfer

Custom Requirements

Specify stack, repo size, quality bar, and dataset shape — we source to your spec.

Tech StackRepo SizeQuality Bar

Quality-First Evaluation

Each repo is programmatically screened and reviewed for structure, depth, and maintainability.

Automated ChecksHuman ReviewMetadata