Multimodal AI evaluation
Test OCR, speech, extraction and decision pipelines against varied forms, check images, damaged scans and noisy servicing calls.
SAFE UNSTRUCTURED DATA FOR FINANCIAL SERVICES
Prepare real documents, images and audio for controlled use and generate production-like banking scenarios for extraction, fraud, onboarding and servicing systems.
Banking workflows
The strongest implementation begins with a specific content flow, modality, recipient and permitted purpose.
Test OCR, speech, extraction and decision pipelines against varied forms, check images, damaged scans and noisy servicing calls.
Create reviewed derivatives for engineering, model evaluation and approved third-party processing.
Generate known fraud patterns, unusual transaction histories and rare negative cases at controlled volume.
Control the exposure
Not every sensitive field should be handled the same way. Remove what is unnecessary, preserve only what the approved task needs, and use tokens when consistent linkage is required.
Product fit
GritRedact prepares controlled derivatives of real content. GritRender creates high-coverage scenarios for evaluation and regression.
Apply banking-specific detection and transformation policy before sensitive content reaches downstream teams or systems.
Generate repeatable cases across documents, images and audio with known ground truth, including failures, exceptions and adversarial conditions.
GritWorks prepares safe data; it does not replace KYC controls, transaction authorization or core-banking permissions.
Start with the blocked workflow
Show us the source content, workflow and downstream users. We’ll identify where redaction, synthetic data or a different control is actually appropriate.
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