Prepare, fine-tune, and validate models without exposing your data.

Data Suite prepares fine-tuning data from databases, APIs, documents, and knowledge bases, then runs model fine-tuning and accuracy testing fully on-premises.
Build text, image, and structured data pipelines with no cloud data exposure and full traceability for every evaluation run.

Deployment:

On-premises, no cloud data exposure

Data Sources:

Databases, APIs, documents, knowledge bases

Outputs:

Fine-tuning datasets, evaluations, audit-ready logs

PLATFORM VIEW

See Data Suite in Action

A single workspace for fine-tuning data preparation, multimodal pipelines, on-prem model training, and audit-ready evaluation tracking.

VDF Data Suite fine-tuning and evaluation workspace
CAPABILITIES

Data Operations for Fine-Tuning and Model Evaluation

Prepare Fine-Tuning Data from Any Source

Ingest and normalize training data from databases, APIs, documents, and knowledge bases with transformation and quality controls built in.

On-Prem Fine-Tuning Pipeline

Run the complete model fine-tuning pipeline on-premises so sensitive data never has to leave your environment or pass through public cloud tooling.

Model Accuracy Testing

Evaluate LLMs with automated benchmarks and manual review workflows, all without cloud dependency and with consistent test datasets.

Multi-Modal Data Pipelines

Support text, image, and structured data pipelines so teams can prepare and evaluate multimodal datasets in one controlled environment.

Audit-Ready Output

Every evaluation run is logged with prompts, datasets, model versions, reviewer decisions, and results for full traceability and compliance review.

Governed Data Preparation

Track lineage from raw source to final training and evaluation set so teams can reproduce runs and understand exactly what data shaped each model outcome.

WORKFLOW

From Raw Sources to Trusted Evaluation

1. Ingest

Collect raw data from databases, APIs, documents, and knowledge bases into a controlled preparation workspace.

2. Prepare

Clean, label, and structure text, image, and structured data into multimodal datasets for fine-tuning and evaluation.

3. Fine-Tune & Test

Run on-premises fine-tuning plus automated and manual accuracy testing with no cloud dependency in the loop.

4. Audit

Export audit-ready outputs with complete traceability across datasets, runs, reviewers, and model versions.

USE CASES

Where Teams Use Data Suite

Training Data Operations

Prepare fine-tuning corpora from internal systems, APIs, document repositories, and knowledge bases without custom one-off scripts.

On-Prem Model Programs

Support regulated teams that need model fine-tuning, evaluation, and reporting entirely inside their own infrastructure.

Evaluation & QA

Run automated benchmarks alongside manual review to measure model accuracy before promoting a model into production use.

Audit & Compliance

Give security, legal, and governance teams full traceability for every evaluation run, dataset revision, and reviewer decision.

Ready to prepare, fine-tune, and evaluate models on-prem?

Bring together fine-tuning data preparation, multimodal pipelines, model accuracy testing, and audit-ready traceability in one controlled environment. Start your free trial or schedule a personalized demo to see how Data Suite fits your model development workflow.