Enigma

Enigma

Data-as-a-Service for SMB risk underwriting

About Enigma

Simplify's Rating
Why Enigma is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

Enterprise Software

Cybersecurity

Financial Services

Company Size

51-200

Company Stage

Series C

Total Funding

$163.1M

Headquarters

New York City, New York

Founded

2011

Overview

Enigma collects public and private data, cleans, connects, and enriches it with machine learning to produce intelligence about a business's identity, financial health, and risk profile. It delivers this information through a GraphQL API, data shares for direct warehouse syncing, or a web-based search interface as a Data-as-a-Service offering. The company distinguishes itself by building an Enigma Identity Graph that links brands, legal entities, and locations into a single profile, plus tools like Enigma Assembly for data management and Enigma Concourse for data operations. Its goal is to provide enterprise-grade data infrastructure that helps clients verify businesses, assess risk, and inform onboarding, underwriting, and market decisions.

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Simplify's Take

What believers are saying

  • Databricks Marketplace partnership monetizes data for 33 million SMBs via Delta Sharing.
  • Clay integration expands GTM access to transaction signals for 10,000 companies.
  • HPS collaboration deploys AI fraud models across payment platforms in 95 countries.

What critics are saying

  • Databricks commoditizes card revenue data, eroding DaaS pricing within 6-12 months.
  • Clay aggregation with 150 providers dilutes Enigma's brand value in 12-18 months.
  • Google rivals replicate KYB agent, capturing market share in 3-6 months.

What makes Enigma unique

  • Enigma's Identity Graph unifies 100 million legal entities, 30 million brands, and 30 million locations.
  • Card-backed revenue signals from 40% of U.S. transactions provide verified SMB financial health.
  • KYB agent on Google Cloud achieves 94% first-pass matching using Gemini models.

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Funding

Total Funding

$163.1M

Meets

Industry Average

Funded Over

8 Rounds

Series C funding is usually for startups that are doing well and are looking for more money to fuel major growth, such as acquiring other companies, expanding into global markets, or launching new product lines. Investors typically include larger venture capital firms and private equity.
Series C Funding Comparison
Above Average

Industry standards

$50M
$50M
Medium
$62M
SeatGeek
$95M
Enigma
$100M
Oura

Benefits

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

-2%

2 year growth

-1%
PYMNTS
May 7th, 2025
Fico Unveils B2B Data Exchange Fico Marketplace

FICO has introduced a digital hub designed to connect organizations with data and analytics providers. FICO Marketplace, announced Wednesday (May 7), offers access to data, artificial intelligence (AI) models, optimization tools, decision rulesets and machine learning models, which provide enterprise business outcomes from AI, the company said. “An intelligent enterprise taps into its data and decision assets using AI, machine learning, and advanced analytic techniques to make incredibly informed and highly optimized decisions, as well as deliver hyper-personalized customer experiences in real time,” the release said

FF News
Mar 5th, 2025
Hps And Enigma Join Forces To Revolutionise Fraud Detection With Ai

HPS, a leading global provider of payment software and solutions, and Enigma, a global leader in artificial intelligence enabled entity resolution and decision-making, today announced a strategic collaboration to deliver cutting-edge AI fraud detection models to businesses worldwide. This partnership combines Enigma’s advanced AI capabilities with HPS’s comprehensive payment platform, offering clients unprecedented security and efficiency in navigating the complexities of modern payment systems.In an era where fraud methods are becoming increasingly sophisticated, with phishing, vishing, identity theft, and other forms of fraud, it is essential for financial institutions to have tools that adapt and respond to dynamic threats. This solution protects transactions while ensuring a smooth and frictionless experience for customers.The strength of this system lies in the combination of two complementary approaches: on one hand, an advanced AI model that anticipates and detects emerging fraud patterns; on the other hand, a proven rule-based detection system that ensures effective identification of known suspicious behaviours. This synergy between AI and business rules provides optimal coverage against a wide range of threats, from the most sophisticated to the most common. In this powerful partnership, Enigma brings years of expertise in developing advanced machine learning models designed to detect and predict fraudulent activities with exceptional accuracy. These models analyse vast datasets, uncovering subtle anomalies that traditional rule-based systems may overlook.Meanwhile, HPS, with its scalable and versatile payment platform operating in over 95 countries, provides the necessary infrastructure to seamlessly integrate Enigma’s AI capabilities into the business management of payments

IBS Intelligence
Mar 5th, 2025
HPS partners with Enigma to enhance global payment security with AI

HPS partners with Enigma to enhance global payment security with AI.

PYMNTS
Dec 14th, 2024
Report: Databricks Close To Raising Record $9.5 Billion Amid Ai Boom

Databricks reportedly is close to raising $9.5 billion in a funding round, a feat that would create one of the largest-ever venture capital funding rounds. The final number could still go up before the round is finalized next week, Reuters reported Friday (Dec. 13), citing unnamed sources. The deal would value the company at over $60 billion, according to the report

PYMNTS
Nov 19th, 2024
Enigma And Databricks Partner To Deliver Financial Health Intelligence

Enigma and Databricks are collaborating to deliver data on small- to medium-sized business (SMB) financial health signals to customers.With this data, customers can access financial health intelligence about more than 33 million businesses, based on a panel of more than 40% of U.S. card transactions, the companies said in a Monday (Nov. 18) press release.“The combination of Databricks’ zero-copy integration, Delta Sharing, and Enigma’s data empowers teams to effortlessly enhance their customer, prospect and supplier lists with a comprehensive, timely and accurate understanding of business identities and financial health,” David Kulwin, director of technology partnerships at Databricks, said in the release.Databricks, a data and artificial intelligence (AI) company, offers the Databricks Marketplace that is powered by its open-source Delta Sharing standard and allows users to discover, share and access data products, according to the release.With the companies’ collaboration, Enigma, a data science company that provides data insights into businesses, will deliver its data via the Databricks Marketplace, the release said. The data includes monthly and annual card revenues, revenue growth, average transaction size, payment technologies used and sub-industry classifications.Sample data sets from Enigma that are now available on the Databricks Marketplace include salons, retail and restaurants, per the release.“As longtime users of Databricks, we’ve benefited from the platform’s major evolution in capabilities over the years,” Enigma CEO Hicham Oudghiri said in the release. “Delta Sharing is a great example of that: it has reduced the cost and complexity of securely exchanging data.”Enigma is investing heavily into AI while also continuing “back to basics,” Oudghiri wrote in the December 2023 PYMNTS Intelligence eBook, “2023: The Year of Strategic Shifts in Business.”“We build data products for the hungry algorithms powering this next-generation economy, from sales and marketing insights to risk analytics and compliance screens,” Oudghiri wrote. “Our business is run lean with a maniacal focus on the quality of insight we deliver to our customers.”As for Databricks, it collaborated with Mastercard to help that company build its new in-house capability for building and deploying knowledge agent tools, including a new generative AI-powered digital assistant that is designed to simplify the customer onboarding process

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