USEFUL DATA FOR MODELS, RAG AND ANALYTICS

Give AI systems the context they need—not every sensitive fact in the source.

Prepare approved unstructured content for retrieval and analysis, and create synthetic evaluation sets that measure performance beyond a demo dataset.

SENSITIVE SOURCE
↓ POLICY
CONTROLLED OUTPUT

For AI & Data Teams

Move from a promising demo to a measurable workflow.

The model is only one component. Reliable enterprise outcomes require representative inputs, explicit expected behavior and evidence when something changes.

01

Safer RAG inputs

Remove identifiers and unrelated fields before approved content reaches chunks, embeddings and model context.

02

Evaluation before deployment

Measure extraction, transcription, citation, decision and privacy behavior across realistic multimodal scenarios.

03

Faster experimentation

Reduce dependency on production access when exploring new models, prompts and workflow designs.

Questions your data should answer

Make success observable before production.

  1. 01What does the model truly need?
  2. 02Which relationships must be preserved?
  3. 03Which facts should never enter the index?
  4. 04What is the expected answer?

Product fit

A clean division of work.

Use real examples only when they are necessary. Use synthetic scenarios to scale coverage and repeatability.

01GritRedactCONTROLLED REAL DATA

Create minimized, policy-approved derivatives of real content.

Detect, review, remove and verify sensitive information according to a defined downstream purpose.

  • Policy-driven
  • On-premise
  • Auditable
Explore GritRedact
02GritRenderSYNTHETIC EVALUATION

Generate high-coverage datasets with ground truth for evaluation.

Generate realistic documents, images and audio with labels, expected results and controllable variation.

  • Known ground truth
  • Edge-case coverage
  • Repeatable runs
Explore GritRender

Start with the blocked workflow

Make sensitive content usable—on terms your enterprise can defend.

Show us the source content, workflow and downstream users. We’ll identify where redaction, synthetic data or a different control is actually appropriate.

Request a working session