Secure data access for AI development
We help enterprises safely unlock unstructured data for AI.
GritWorks de-identifies sensitive unstructured content and creates synthetic documents, images and audio, so enterprise teams can build and evaluate AI without circulating raw production data.
Runs in your environment Review before export Originals stay controlled
ONE SOURCE DOCUMENT / TWO INDEPENDENT OUTPUTS KNOWN-ANSWER DATA
01 / SOURCEOne source document
02A / GRITREDACTRedact the source
02B / GRITRENDER
Render the source into test variantsValues stay fixed; only the visual condition changes
SOURCE → GRITREDACT OR GRITRENDERVIEW EXPECTED VALUES ↗
* Representative document shown for product demonstration. All names and identifiers are fictional.
Trusted by data teams at
GenRocketZEISSCreditAccess GrameenLadder Benefits
Built for regulated environments
Financial servicesInsuranceHealthcareLegal
Why GritWorks
Intelligence will be abundant. Trust will not.
Agents operate in a world of information. Humans live with the consequences.
As intelligence and efficiency become available to every enterprise, trust becomes the advantage that remains difficult to earn—and remarkably easy to lose.
Read why GritWorks exists→The problem
Your most useful data is also your most restricted.
Enterprise AI does not fail for lack of intelligence. It stalls because the unstructured content that holds real operating knowledge is difficult to use safely.
Lock the data away and progress stops. Open the originals and every hidden identifier, unrelated record and sensitive fact travels with them.
Access is binary
Teams are forced to choose between no access and far more access than the task requires.
Test data is too clean
Handmade samples miss the damaged scans, rare cases and conflicting evidence found in production.
Governance arrives late
Privacy review happens after data has already reached models, vendors, logs and indexes.
What GritWorks does today
Use real data carefully. Create what should never be real.
De-identify approved unstructured content when real data is necessary. Generate synthetic documents, images and audio when it is not.
01GritRedactCONTROLLED REAL DATA
Create safe, auditable derivatives of sensitive content.
Detect sensitive fields, apply customer-defined policy, review every region and permanently remove what the downstream task does not need.
- PDF, image and audio workflows
- On-premise and air-gapped deployment
- Human review, verification and audit trail
02GritRenderSYNTHETIC EVALUATION DATA
Generate realistic unstructured scenarios with known truth.
Create production-like documents, images, audio and edge cases for testing models, multimodal pipelines and agent workflows.
- Ground-truth labels and expected outputs
- Rare, negative and adversarial cases
- Deterministic regression suites
Where customers start
Five concrete workflows where sensitive data blocks delivery.
Start with the blocked data outcome—not an AI category. Each workflow has a defined downstream use and an observable control point.
Controlled content sharing
Create purpose-specific derivatives of documents, images or audio without circulating the full original.
Multimodal AI evaluation
Measure extraction, transcription, decisions, citations and privacy behavior against production-like cases with known outcomes.
AI and RAG data preparation
Minimize sensitive information before approved unstructured content reaches a model, vector index or downstream AI service.
AI system training and fine-tuning
Build de-identified corpora and synthetic examples that retain useful structure, modality, variation and labels without distributing source records.
Secure content access for agents
Provide task-specific derivatives to approved agents while source controls remain in place, exposing only what the task requires.
Enterprise evidence
Sensitive-content workflows implemented or evaluated in enterprise environments.
Three anonymized studies show how healthcare and financial-services teams used controlled real data, synthetic documents, or both—with engagement stage disclosed where the proof is summarized.
Healthcare · Enterprise pilotGritRedact
Reusable corpusReal handwriting retained; member identities removed
Unlocking handwritten clinical data for agentic AI testing
U.S. health insurance and services organization
Read the case study →
Healthcare · Technical evaluationGritRender
30+ variantsControlled document degradations with known ground truth
Expanding laboratory requisition OCR test coverage
U.S. diagnostic services provider
Read the case study →
Financial services · Production deploymentGritRedact + GritRender
Redact → generateProduction-faithful loan files without production NPI
Securing loan document testing with a redact-then-generate workflow
U.S. housing-finance organization
Read the case study →
Industry workflows
Built around the unstructured content your business actually runs on.
Each industry page starts with concrete documents, images, audio, sensitive fields and evaluation scenarios—not generic compliance language.
BA
SAFE UNSTRUCTURED DATA FOR FINANCIAL SERVICES
→INBanking
Bank statements · KYC and ID images · Loan files · Servicing recordings
SAFE UNSTRUCTURED DATA FOR INSURANCE
→HEInsurance
Claims packets · Damage photos · Medical evidence · Call recordings
PRIVACY-CONSCIOUS DATA FOR HEALTHCARE AI
→LEHealthcare
Clinical notes · Claims and EOBs · Medical images · Patient calls
CONTROLLED CONTENT FOR LEGAL WORKFLOWS
→Legal
Contracts and case files · Correspondence · Deposition audio · Discovery productions
Built for the buying committee
One data problem. Different reasons to care.
Technical teams need useful data. Security teams need control. Business teams need the workflow to move.
See the Databricks workflow→Designed to fit
Before sensitive unstructured content reaches the next system.
GritWorks creates safer derivatives of documents, images and audio for approved workflows. Your identity, storage, access control and monitoring systems stay in place.
SourcesContent stores
Lakehouse
Case systems
→Lakehouse
Case systems
GritWorksDe-identify
Generate
Review
→Generate
Review
DestinationsAI & RAG
Test suites
Approved sharing
Test suites
Approved sharing
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 ↗