Safer RAG inputs
Remove identifiers and unrelated fields before approved content reaches chunks, embeddings and model context.
USEFUL DATA FOR MODELS, RAG AND ANALYTICS
Make unstructured content usable in your data and AI workflows.
Turn PDFs and images into JSON with GritTransform, prepare approved content with GritRedact, and build synthetic development and evaluation sets with GritRender.
CHOOSE THE OUTPUT YOUR WORKFLOW NEEDS
GritRedact
Remove sensitive information
Documents, images & audioGritTransform
Extract structured JSON
PDFs & imagesGritRender
Generate synthetic test content
Documents, images & audioFor AI & Data Teams
From source documents to useful downstream inputs.
Prepare sensitive content for its intended use, extract structured document data and create representative evaluation sets. Choose the product that solves the problem in your pipeline.
Evaluation before deployment
Measure extraction, transcription, citation, decision and privacy behavior across realistic multimodal scenarios.
Structured document data
Extract information from PDFs and images into JSON, then access it through an API for downstream applications, analytics and data pipelines.
Questions your data should answer
Make success observable before production.
- 01What information does the downstream workflow need?
- 02What JSON output will the application consume?
- 03Which sensitive details should be removed?
- 04What examples will we use to evaluate the result?
Product fit
A clean division of work.
Protect sensitive content with GritRedact, extract JSON from PDFs and images with GritTransform, and generate realistic examples with GritRender. All three are available offline on-premises or as sales-assisted SaaS.
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-premises or SaaS
- Auditable
02GritTransformSTRUCTURED DOCUMENT DATA
Get the fields your application actually needs.
Define a schema, verify extracted values beside the source and publish the configuration as an API. Reuse it across PDFs and images in your data pipeline.
- Visual schema builder
- Source verification
- JSON API endpoints
03GritRenderSYNTHETIC 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
Start with your workflow
Put your unstructured data to work.
Tell us what your team needs to achieve. We’ll help you choose the right products, work through your requirements and explore on-premises or SaaS deployment.
Request a working session