Industry Solution

AI & Machine Learning

Verified training data with auditable provenance

Request Access

Request Access

Technical Docs

Technical Docs

Quality Attestations

Model builders need high-quality, non-public training data to prevent model collapse and differentiate from competitors. VeridatAI provides cryptographically verified datasets with full legal clarity.

Model builders need high-quality, non-public training data to prevent model collapse and differentiate from competitors. VeridatAI provides cryptographically verified datasets with full legal clarity.

$340B

AI training data market by 2030

92%

Of AI teams cite data quality as top concern

100%

Provenance documented



12.4M

rows validated per average dataset

Our Products

The internet is running out of quality training data

The internet is running out of quality training data

Public datasets are exhausted — models trained on the same data converge to mediocrity Web-scraped data carries legal liability, copyright exposure, and quality uncertainty

No standard mechanism exists to verify data provenance or ethical sourcing EU AI Act mandates provenance documentation that most data sources can't provide

Model collapse from synthetic and recycled data is degrading foundation model quality

The VeridatAI Solution

Cryptographically verified, legally cleared training data

Every dataset on VeridatAI passes through on-premise validation that proves quality, structure, and provenance without exposing raw data. AI teams build on verified truth — not blind trust.

Uniqueness scoring prevents redundant data acquisition across training runs

Uniqueness scoring prevents redundant data acquisition across training runs

Uniqueness scoring prevents redundant data acquisition across training runs

Copyright clearance verification with embedded licensing for every transaction

Copyright clearance verification with embedded licensing for every transaction

EU AI Act Annex IV provenance documentation generated automatically

EU AI Act Annex IV provenance documentation generated automatically

Quality attestations prove statistical properties without raw data access

Quality attestations prove statistical properties without raw data access

EU AI Act Annex IV provenance documentation generated automatically

EU AI Act Annex IV provenance documentation generated automatically

How It Works

From data to revenue in four steps

From data to revenue in four steps

A deterministic pipeline. No ambiguity. Full control at every stage. Your data never leaves your infrastructure.

#01

Define Requirements

Specify domain, modality, size, quality thresholds, and compliance needs.

#02

Discover & Compare

AI-powered search across verified datasets with quality scores.

#03

Verify Attestations

Review cryptographic proofs of quality, provenance, and legal standing.

#04

License & Deploy

Standardized license terms, delivered to Snowflake, AWS, or custom infrastructure.

Data Catalog

Datasets we support

Datasets we support

Validated, attested, and ready for commerce across every category in your domain.

Foundation Model Training Data

Large-scale text, code, and multimodal corpora with verified provenance

Foundation Model Training Data

Large-scale text, code, and multimodal corpora with verified provenance

Fine-Tuning Datasets

Domain-specific instruction sets, RLHF data, and task-oriented collections

Fine-Tuning Datasets

Domain-specific instruction sets, RLHF data, and task-oriented collections

Benchmark & Evaluation Sets

Curated test sets for model evaluation, leaderboard submission, and quality tracking

Benchmark & Evaluation Sets

Curated test sets for model evaluation, leaderboard submission, and quality tracking

Bias Testing Datasets

Demographic-balanced datasets for fairness auditing and representation analysis

Bias Testing Datasets

Demographic-balanced datasets for fairness auditing and representation analysis

Synthetic Data Augmentation

Verified synthetic data with quality attestation for training data expansion

Synthetic Data Augmentation

Verified synthetic data with quality attestation for training data expansion

Multimodal Collections

Paired text-image, text-video, and cross-modal datasets with alignment verification

Multimodal Collections

Paired text-image, text-video, and cross-modal datasets with alignment verification

Real-World Impact

How organizations use VeridatAI

Data never passes through VeridatAI infrastructure. Our agents validate in-place. Attestations travel — data doesn't.

01

Foundation Model Differentiation

An AI lab acquired 8 proprietary domain-specific datasets through VeridatAI to fine-tune their foundation model on data no competitor could access.

01

Foundation Model Differentiation

An AI lab acquired 8 proprietary domain-specific datasets through VeridatAI to fine-tune their foundation model on data no competitor could access.

02

EU AI Act Compliance

A European AI company needed Annex IV provenance documentation for their training data. VeridatAI's attestation system generated complete compliance packages automatically.

02

EU AI Act Compliance

A European AI company needed Annex IV provenance documentation for their training data. VeridatAI's attestation system generated complete compliance packages automatically.

03

Bias Mitigation

A hiring AI startup sourced demographically balanced datasets across 4 countries, with VeridatAI's verification proving representation quality before purchase.

03

Bias Mitigation

A hiring AI startup sourced demographically balanced datasets across 4 countries, with VeridatAI's verification proving representation quality before purchase.

Professional Services

Beyond self-service.
Concierge data commerce.

Beyond self-service.
Concierge data commerce.

Procurement, representation, valuation, and advisory — for organizations that need hands-on support navigating the data economy.

HIPAA

Zero-custody architecture means PHI never leaves covered entity infrastructure

HIPAA

Zero-custody architecture means PHI never leaves covered entity infrastructure

Project

Electronic records and signatures compliance for clinical data integrity

Project

Electronic records and signatures compliance for clinical data integrity

Retainer

Special category health data protections with automated consent tracking

Retainer

Special category health data protections with automated consent tracking

Common Rule

Zero-custody architecture means PHI never leaves covered entity infrastructure

Common Rule

Zero-custody architecture means PHI never leaves covered entity infrastructure

HITECH Act

Electronic records and signatures compliance for clinical data integrity

HITECH Act

Electronic records and signatures compliance for clinical data integrity

EU AI Act

Special category health data protections with automated consent tracking

EU AI Act

Special category health data protections with automated consent tracking

Our compliance team used to spend 3 months on due diligence for each alternative data vendor. VeridatAI's cryptographic attestation cut that to days.

Compliance & Governance, Global Macro Fund

Compliance & Governance, Global Macro Fund