Halograph

What Halograph does

Halograph, Inc. is a San Diego-based B2B fraud protection and payment risk management platform founded in 2013. The company serves merchants and payment processors that accept online transactions, with primary use cases in virtual goods, shipped goods, money remittance, and payments gateways, plus an "other payment businesses" catch-all. Its core product is a unified fraud-detection platform that applies machine learning models — analyzing hundreds of features derived from payment history and user behavior — and maintains a real-time graph of user-user connections and reputation to extend traditional blacklists into "black networks" capable of flagging first-time fraudulent payers. The product is delivered as transaction-based SaaS with quote-based pricing, accessible via REST API or prebuilt connectors for Braintree, Stripe, Square, PayPal, Apple, Google, and Alipay, and is positioned to require no specialized payments-fraud expertise to operate.

The go-to-market combines an API-first, product-led self-serve motion for low-friction onboarding with a direct enterprise field-sales motion via the website contact form, which segments inbound leads by industry and current payments provider. Differentiated capabilities include dollar-value risk assessment that tunes accept/decline decisions to profit, a Velocity Assistant for interactive tuning of velocity limits, and game-engine-rendered visualizations for fraud-pattern analysis. PCI-DSS compliance, encrypted communications, and role-based access control underpin the security posture required to handle live card data. The company's marketing emphasizes that it was designed by founders who previously managed risk for organizations processing billions in payments volume and is built to scale from thousands to millions of daily transactions.

The available information is sparse and dated: the website copyright is bounded at 2013-2016, no revenue or ARR is disclosed, customer logos are not named, no management team is publicly listed, and no post-2016 funding, product, hiring, or partnership activity is documented. The only funding engagement on record is a 2015 participation in the EvoNexus startup incubator program. These gaps materially limit the ability to verify the company's current operating status, traction, or growth trajectory, and should be treated as a key diligence risk for any investor or acquirer evaluating the asset.

Name

Halograph

Legal name

Halograph, Inc.

Website

https://halograph.com

Company type

Private

Founded year

2013

Operating status

Operating

Headcount range

1–10 employees

Short description

Halograph is a San Diego-based B2B SaaS platform that uses machine learning, real-time graph-based reputation scoring, and dollar-value risk modeling to detect payment fraud for merchants and payment processors across virtual goods, e-commerce, money remittance, and gateway verticals.

Ownership category

akta.pro rank

Product category

Payment Fraud Detection

akta.pro primary industry

Fraud Detection & Transaction Monitoring (FSAMALAA)

akta.pro secondary industry

Risk Scoring, Decisioning & Orchestration (FSAMALAB)

Keywords

• Payment fraud detection
• Machine learning risk scoring
• Transaction risk management
• E-commerce fraud prevention
• Payment gateway security

Headquarters

HQ city

San Diego

HQ country

United States

HQ region

North America

Markets served

GTM type

B2B

Offering type

Software

Cost components

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

Revenue model

1. Fraud Detection SaaS: Transaction-based fraud detection and risk management service for payment processors and merchants. The platform measures transaction risk in dollars across all payment types and provides real-time recommendations to maximize profit by encouraging allocation of risk where benefits are greatest.

Pricing tiers

Go-to-market motion3 records

Distribution channels3 records

Marketing channels3 records

Core offering

Halograph operates a unified fraud protection and payment risk management platform for businesses that process digital payments. It applies machine learning models to hundreds of payment history and user behavior features, maintains a real-time black network graph of user connections, and exposes REST API and prebuilt gateway connectors for integration. The service scores transactions in dollar-value risk terms and recommends approval, review, or decline actions that maximize profit, with typical recommended manual review rates near 1%.

Product overview

Halograph is a single, unified fraud protection and payment risk management platform designed for businesses processing digital payments. The core Halograph product encompasses real-time fraud detection and risk scoring, machine learning-powered anomaly detection analyzing hundreds of payment and user behavior features, interactive data visualizations for fraud pattern analysis, a Velocity Assistant for interactive velocity limit tuning, and a REST API with prebuilt gateway connectors for implementation. All capabilities are delivered as an integrated platform rather than separate modules.

Differentiator

Problem solved

Functional benefit

Products and services

• Halograph Fraud Protection Platform Unified machine learning-powered fraud detection and payment risk management platform for e-commerce, digital goods, and payment processing businesses. Delivers real-time transaction risk scoring, black network graph analysis, interactive visualizations, a Velocity Assistant for tuning velocity limits, and integration via REST API or prebuilt gateway connectors. Designed for businesses processing thousands to millions of daily payments that need API-accessible fraud detection with minimal manual review.

Quantifiable outcome

• Immediate reduction in received fraud levels
• +3 more outcomes

Segments5 records

Ideal customer profiles1 record

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

AI capability2 records

Feature7 records

Scale indicators1 record

Recent moves5 records

Expansion highlights5 records

Direct peers

• Forter: Forter delivers real-time ML fraud prevention for digital commerce, including virtual goods, with an identity graph approach conceptually adjacent to Halograph's black network analysis.
• SEON: SEON offers fraud detection and AML compliance using digital footprinting and transaction analysis, competing with Halograph across digital goods and remittance fraud use cases with a similar API-first model.
• Sift: Sift provides ML-powered digital trust and safety / fraud detection for e-commerce and digital businesses, with both REST APIs and prebuilt integrations — directly competing with Halograph across virtual goods, shipped goods, and payment gateway segments.
• Signifyd: Signifyd provides a fraud protection platform with ML-driven decisions and chargeback guarantees for shipped goods e-commerce — overlapping directly with Halograph's primary shipped goods segment.
• Riskified: Riskified offers AI-powered e-commerce fraud prevention and chargeback guarantee, with a profit-optimization orientation similar to Halograph's dollar-value risk approach. Serves many of the same shipped/virtual goods merchants.
• Featurespace: Featurespace applies adaptive behavioral analytics (ARIC platform) to fraud and financial crime detection for payments and banking, with comparable ML-driven transaction scoring for risk decisioning.
• Ravelin: Ravelin provides fraud, payments, and AML protection using ML and graph network analysis for digital businesses — directly comparable to Halograph's black network approach and merchant focus.
• Kount: Kount is an established fraud detection platform using ML and identity graph analysis (similar to Halograph's black network concept) to score transactions across e-commerce, payments, and remittance use cases.

Emerging players

• Arkose Labs: Arkose Labs focuses on bot detection and account takeover prevention with ML-driven decisioning, addressing overlapping fraud attack vectors (multi-account, scripted abuse) that Halograph's black network analysis targets.

Broad incumbents

• Stripe Radar: Stripe's native ML fraud prevention product, bundled with payment processing, represents the largest competitive threat to independent fraud platforms like Halograph due to its scale, free bundling, and direct integration with Stripe payment volume.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat4 records

Key risks5 records

Key highlights5 records

Customer concentration

• Facebookfacebook.com/halograph

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds1 record

Investors1 record

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 Halograph