What VeridatAI does

VeridatAI operates a zero-custody marketplace and trust infrastructure designed to enable compliant, high-quality AI training data exchange. The company serves three primary customer groups: institutional data owners (including R1 research universities, hospitals, banks, and industrial operators) seeking to monetize proprietary datasets; AI developers and foundation model companies seeking authenticated training data with verifiable provenance; and government or commercial buyers posting procurement bounties for specific datasets. Headquartered in Houston, Texas, the company is privately held and currently in beta, with general availability targeted for Q3 2026.

The platform's core architecture is a zero-custody model in which data never transfers to or is stored on VeridatAI infrastructure. The Local Validation Agent (LVA) deploys on the data provider's environment to validate datasets in place, while the PRISM-V Scoring Engine rates each dataset for uniqueness, quality, and market demand to support defensible pricing. VeridatAI integrates KnectIQ's patented SelectiveTRUST technology — licensed in via a strategic partnership announced May 2026 — which establishes device-rooted, single-use trust bindings that prevent AI agent impersonation. Cryptographic watermarking provides proof of provenance and fidelity. Built-in FERPA and HIPAA de-identification workflows are embedded directly into the data pipeline, addressing compliance for healthcare and education verticals.

VeridatAI's revenue model is built on three streams: marketplace transaction commissions via a revenue-share arrangement with no upfront costs, direct data licensing fees for institutional datasets, and Data Bounty Services that match buyers to research institutions for procurement of datasets that do not yet exist. Go-to-market is enterprise field sales targeting healthcare, financial services, and advanced manufacturing, with stated engagement from R1 research universities, Fortune 500 enterprises, and foundation model companies. The company is led by CEO Michael McLaughlin, CRO Corey Huey, and CTO George Al-Koura.

Name

VeridatAI

Legal name

VeridatAI Inc.

Website

https://veridatai.com

Company type

Private

Operating status

Operating

Short description

VeridatAI operates a zero-custody marketplace enabling institutional data owners — including research universities, hospitals, banks, and industrial operators — to license proprietary datasets to AI developers while retaining data custody. The platform combines cryptographic provenance, FERPA/HIPAA compliance, and the PRISM-V valuation engine.

Ownership category

akta.pro rank

Product category

Data Exchange Marketplace

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518)

SIC

Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

Dataset Discovery, Marketplaces & Licensing (HDAAALAE)

akta.pro secondary industries

Ethical Data Sourcing, Consent & Data Provenance (HDAAAMAI), Privacy-Preserving Data (De-identification, Anonymization, PII Redaction) (HDAAALAG), Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL), De-identification, Tokenization & Privacy-Preserving Data Platforms (HLACAIAK)

Keywords

• AI training data
• Data exchange marketplace
• Zero-custody data
• Data licensing platform
• Compliant data exchange

Headquarters

HQ city

Houston

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Digital Commerce or Content

Cost components

Technology or R&D, Personnel, Marketing or Sales, Operations

Revenue model

1. Marketplace Transaction Fees: Revenue-share model on every transaction. Transparent revenue split with no upfront costs. Platform earns when data providers earn.
2. Data Licensing Fees: Institutional datasets licensed directly to AI developers through the marketplace. Modular licensing process handles compliance and IP terms.
3. Data Bounty Services: Facilitates bounty-funded research where commercial and government buyers post procurement bounties for specific datasets that don't yet exist. VeridatAI matches buyers to universities and handles compliance.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels1 record

Core offering

VeridatAI operates a zero-custody marketplace and trust infrastructure that automates provenance, licensing, secure transfer, and compliance for high-quality AI training data. Institutional data owners (research universities, hospitals, banks, industrial operators) list and license proprietary datasets directly to AI developers and foundation model companies while the data remains on the provider's servers, with cryptographic watermarking providing proof of provenance and fidelity. The platform integrates the PRISM-V Scoring Engine for dataset valuation and the Local Validation Agent for in-environment data validation, alongside FERPA/HIPAA-compliant de-identification workflows.

Product overview

VeridatAI operates as a unified data marketplace platform built around its Trust Infrastructure. The core offering consists of the VeridatAI Marketplace which serves as the compliant data exchange platform, complemented by the PRISM-V Scoring Engine for dataset valuation and pricing, and the Local Validation Agent (LVA) for zero-custody data validation. The platform enables institutional data owners (universities, hospitals, banks, industrial operators) to license proprietary datasets to AI developers while maintaining data sovereignty, with cryptographic watermarking providing provenance verification.

Differentiator

Problem solved

Functional benefit

Products and services

• VeridatAI Trust Infrastructure / Marketplace A zero-custody data exchange marketplace that automates provenance, licensing, secure transfer, and compliance through a transparent, auditable process for institutional data owners (research universities, hospitals, banks, industrial operators) and AI developers. Data remains on providers' servers and transfers directly to buyers without VeridatAI storing, processing, or controlling the data.
• PRISM-V Scoring Engine A proprietary valuation and pricing engine that rates datasets for uniqueness, quality, and market demand to establish fair, defensible pricing for licensing negotiations and institutional reporting. Used by data providers (universities and enterprises) to monetize datasets and by buyers to assess acquisition value.
• Local Validation Agent (LVA) An agent deployed on the data provider's infrastructure that validates data without requiring it to leave the provider's environment, enabling zero-custody data transactions. Used by institutional data providers within the VeridatAI marketplace.
• Data Bounty Services A service that facilitates bounty-funded research by matching commercial and government buyers who post procurement bounties for specific datasets with research universities that can produce them, with VeridatAI handling compliance and contracting.

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Feature5 records

Partnerships

One partnership is on record.

• KnectIQcoreTechnology or Integration · 7 May 2026Strategic partnership to launch Custody-Free Data Exchange Infrastructure. VeridatAI integrates KnectIQ's patented SelectiveTRUST technology as its trust fabric, which establishes device-rooted, single-use trust bindings for each authorized exchange while preventing AI agents from forging bindings. The platform targets healthcare, financial services, and advanced manufacturing sectors.

Scale indicators3 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Snorkel AI: Snorkel AI offers a data-centric AI platform with programmatic labeling and weak supervision techniques for enterprise datasets. Comparable to VeridatAI in addressing enterprise AI data preparation, though Snorkel is more tooling-oriented rather than a transactional marketplace with built-in regulatory compliance.
• Scale AI: Scale AI is a leading data labeling and curation platform for AI training, including its Scale Data Engine and Donovan marketplace for foundation model datasets. It is the most directly comparable peer to VeridatAI, given overlapping focus on high-quality, provenance-tracked AI training data supply for foundation model companies, though Scale operates a more label-heavy model versus VeridatAI's licensing-first, zero-custody exchange.
• Appen: Appen provides annotated training data and dataset services for AI, with a global crowd and enterprise data collection capabilities. It is a direct peer to VeridatAI's AI training data sourcing and licensing business, though Appen is more services-heavy and does not offer a zero-custody provenance layer.
• Surge AI: Surge AI provides high-quality data labeling and evaluation services for frontier AI models, including RLHF and domain-specific datasets. Directly comparable to VeridatAI's AI training data supply narrative, though Surge is more focused on labeling services for foundation model labs and does not operate a licensing marketplace for institutional datasets.
• Hugging Face: Hugging Face operates a widely-used hub for AI models and datasets, including the Datasets library for community-contributed training data. It is a direct peer to VeridatAI on the AI developer/buyer side of the marketplace, though Hugging Face is more open-community oriented and lacks VeridatAI's zero-custody, FERPA/HIPAA-regulated exchange layer.
• Labelbox: Labelbox operates a data labeling and curation platform purpose-built for AI teams, including dataset management and model-assisted labeling. Comparable to VeridatAI in serving AI developers with high-fidelity, quality-scored training data, but focused on labeling workflows rather than licensed institutional datasets with regulatory provenance.
• Innodata: Innodata provides AI data preparation, annotation, and content services for enterprises and government. It overlaps with VeridatAI's enterprise AI data sourcing use cases, particularly for regulated and document-heavy industries, though Innodata is more services-delivery oriented than a licensing marketplace.

Broad incumbents

• Snowflake Marketplace: Snowflake operates a data marketplace within its cloud data platform where providers list datasets accessible to Snowflake customers. It is a broad incumbent comparable to VeridatAI on the dataset exchange and licensing side, but Snowflake focuses on cloud-resident structured data sharing rather than AI training-specific, zero-custody institutional data with FERPA/HIPAA workflows.
• Databricks Unity Catalog Marketplace: Databricks provides a data marketplace via Unity Catalog for sharing and licensing datasets within its lakehouse ecosystem. It is a broad incumbent comparable to VeridatAI on enterprise dataset exchange and AI data supply, but Databricks' offering is tied to its broader lakehouse platform rather than standing up as a neutral, zero-custody, compliance-led exchange.
• AWS Data Exchange: AWS Data Exchange is a cloud-native marketplace for licensed third-party data on AWS, with broad distribution to enterprise buyers. It is a broad incumbent peer to VeridatAI's marketplace model, but lacks VeridatAI's zero-custody, provenance-verified, regulated-data specialization and is part of AWS's much larger data and AI portfolio.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key highlights6 records

Customer concentration

• LinkedInlinkedin.com/company/veridatai

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about VeridatAI