# Red Violet, Inc.

> Clarifo company profile — qualitative business description generated from
> the company's filings. Financial statements, charts and ratios are
> available on Clarifo (https://www.clarifo.com/en/companies/Red Violet, Inc.).

## Overview

Red Violet, Inc. is a U.S.-based software company that develops cloud-native identity intelligence tools for enterprise and public-sector workflows. Its CORE platform combines proprietary data, AI, and machine learning to help organizations identify people, businesses, assets, and relationships in real time.

## Products & services

• CORE identity intelligence platform
• Identity verification and resolution
• Fraud detection and prevention tools
• Risk mitigation and due diligence solutions
• Regulatory compliance and customer acquisition data
• FOREWARN user-facing safety and screening services

- **CORE platform** (55%) — Cloud-native identity intelligence software for enterprise workflows and analytics.
- **Identity verification and resolution** (20%) — Tools that identify people, businesses, assets, and relationships in real time.
- **Risk and fraud solutions** (15%) — Products used for fraud detection, prevention, and risk mitigation.
- **FOREWARN and related user services** (10%) — Safety, screening, and investigative tools delivered to end users.

- CORE identity intelligence platform
- Identity verification and resolution
- Fraud detection and prevention tools
- Risk mitigation and due diligence solutions
- Regulatory compliance and customer acquisition data
- FOREWARN user-facing safety and screening services

## Customers

Customers include organizations that need to verify identities, screen counterparties, and reduce fraud or compliance risk. The company serves both enterprise users and smaller organizations through direct sales, strategic sales, and channel partners, with use cases spanning regulated and mission-critical workflows.

- **Enterprise risk and compliance teams** (primary) — Buy CORE to support identity verification, due diligence, and regulatory workflows.
- **Fraud prevention and security users** (primary) — Use the platform to detect suspicious identities, relationships, and activity.
- **Investigative and screening users** (secondary) — Buy FOREWARN and related tools for real-time screening and safety use cases.
- **Channel partners and resellers** (secondary) — Distribute the company’s solutions into industries it does not serve directly.

- Enterprises needing identity intelligence for workflow automation
- Risk, compliance, and fraud teams screening people and entities
- Public and private sector users with investigative workflows
- Organizations buying on trial, transactional, or committed spend terms
- Channel partners reselling into adjacent industries and markets

## Geography

Red Violet is headquartered in the United States and its business is primarily tied to U.S. customers and data sources. The reports emphasize U.S. data and analytics markets, with operations and commercial exposure concentrated in domestic regulated and mission-critical use cases.

- Headquartered in the United States
- Primary market is the U.S. data and analytics sector
- Relies on U.S.-centric public, proprietary, and commercial data sources
- Channel partners help reach industries not served directly
- Geographic expansion is tied to customer workflows, not physical footprint

## Strategy

The company’s strategy is to deepen its proprietary data assets and improve identity resolution through AI and machine learning. It also expands through inside sales, strategic sales, and partner channels, using a land-and-expand model to increase adoption across departments and use cases.

- **Strengthen the CORE platform** (medium-term) — Better identity resolution and analytics improve customer reliance and product differentiation.
- **Expand channel and direct sales reach** (short-term) — Broader distribution helps penetrate new industries and larger accounts.
- **Increase customer usage within accounts** (medium-term) — Land-and-expand adoption can raise retention and deepen workflow integration.

- Expand proprietary data assets and analytical models
- Use AI/ML to improve entity resolution and relationship mapping
- Grow through inside sales and strategic account coverage
- Leverage distributors, resellers, and strategic partners
- Land with trials and expand across workflows and departments

## Risks

The business depends on technical performance, proprietary data access, and continued customer adoption in a competitive data-and-analytics market. It also faces supplier concentration, customer concentration, and intellectual property risks that can affect service continuity, pricing, and renewal outcomes.

- **Product defects or security vulnerabilities** [high] — The platform is technical and complex, so undetected errors can cause customer loss or claims.
- **Technology obsolescence** [high] — The data and analytics sector evolves quickly, requiring ongoing product innovation.
- **Supplier concentration** [high] — A large share of data acquisition costs comes from a key supplier, limiting sourcing flexibility.
- **Customer concentration and churn** [medium] — Major customers can reduce usage or terminate relationships, affecting recurring transaction revenue.
- **Competitive pricing pressure** [medium] — Data and analytics competitors can undercut pricing or bundle broader offerings.

- Product defects or security issues could disrupt service and trigger claims
- Rapid tech change could make offerings less relevant
- Heavy reliance on key data suppliers creates sourcing risk
- Customer concentration and renewals can affect recurring revenue
- Competition may pressure pricing and market share

## Accounting

Revenue recognition is important because the company sells a mix of transactional, minimum-commitment, and usage-based services, which can affect timing of revenue. Investors should also watch estimates for doubtful accounts, goodwill and intangible asset recoverability, and capitalization and amortization of internally developed software and acquired data assets.

- **Revenue recognition** — Transactional and minimum-commitment arrangements
- **Allowance for doubtful accounts** — Accounts receivable valuation
- **Goodwill and intangible assets** — Balance sheet carrying values
- **Capitalized software and data assets** — Operating expense and gross profit

- Revenue timing depends on transactional and committed-spend contracts
- Allowance for doubtful accounts affects receivables valuation
- Goodwill and intangibles require impairment judgments
- Internal-use software is capitalized and amortized over time
- Income tax provisions and uncertain tax positions require estimates

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*Last updated: 2026-04-29T04:53:08.315970+00:00*
