1. [Home](https://www.g2.com/) 2. ... 3. [Market Intelligence Software](https://www.g2.com/categories/market-intelligence) 4. [enigma Discussions](https://www.g2.com/products/enigma-technologies-enigma/discuss) [ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_7e0bb3b5901b0a1ae14be9c5e5c96bc2/enigma-technologies-enigma.png "Product Avatar Image") ](/products/enigma-technologies-enigma/reviews) [ enigma ](/products/enigma-technologies-enigma/reviews) (1)3.5/5 Enigma gives institutions external context for internal decisions. Enigma has spent a decade building a knowledge graph that links public, private and proprietary data on more than 100 Million U.S. legal entities, 75 Million key people, 33 Million brands and 31 Million operating locations. A single question about one business returns a current, sourced view of that business and the network around it. Customers like JP Morgan Chase, Capital One, Ramp and Parallel use Enigma across five workflows: onboarding and KYB, risk and underwriting, payments, screening, and go-to-market. Increasingly, they also use it to ground the AI agents and automated systems that make those decisions. Enigma's mission is to close the gap between what institutions know about a business and what can be known. The problem Enigma solves Enterprise decisions get made without the external signal that would change them, because that signal is hard to access and harder to integrate. A business doesn't live in one dataset. The same company can appear under several names, dozens of addresses, multiple domains and a changing set of owners and officers, across sources that never talk to each other. A legal entity on a Secretary of State filing becomes a brand on a health inspection, a location on a permit, and a merchant in card transaction data. Most tools look at one of those records at a time. That leaves teams deciding from the form an applicant filled out, or from a registration that says a business exists without saying whether it is operating. Registered isn't the same as operating. The gap between the two is where manual reviews pile up, good applicants get declined and bad actors get through. How Enigma works Enigma's entity resolution model links thousands of bespoke data sources into a single graph. Before data enters it, suspicious records are quarantined, every match is scored, automated checks gate each release, and results are measured against ground truth. The graph can be entered from any direction. Start with a business name, address, phone number, EIN, person or legal entity, and walk outward: from a person to the businesses they control, from an address to every entity registered there, from a legal entity to the brand it operates. What makes Enigma different Linked, not just matched: Enigma doesn't stop at confirming a business exists. It connects the entity to its brands, locations, owners and affiliates, so you see the whole operation rather than the fragment that applied. Operating reality: Enigma includes exclusive data covering 40% of U.S. card transactions. Revenue, transaction volume, average ticket, growth trends and refund ratios become observable rather than self-reported. Card data reflects consumer-card spending, excludes cash, ACH and B2B payments, and is reported on a 75 to 80 day lag. Coverage of the long tail: Sole proprietors, young businesses and small operators with thin credit files still leave a record somewhere: a license, a permit, an inspection, a lien, a filing. Enigma finds and links those records. Provenance on every fact: Each data point carries a named source and the date it was last observed, so analysts, auditors and agents can trace any answer back to the record behind it. Enigma for Workflows Onboarding and KYB: Replace inferences from registration data with verifiable confidence. Enigma links Secretary of State records to card transactions, licenses, permits and inspections to confirm a business is real, operating and who it claims to be. Verification tiers route each applicant to the right level of automation. Ramp reached a 94% match rate on a 4,000-application test, against 84% standalone. Quantum Lending Solutions reached 90% on 2,000 real records, against roughly 80% from its previous provider. Risk and underwriting: Underwrite the business that exists in the real world, not just the one on the application. Observed card revenue corroborates stated figures, and linking reveals related entities under common ownership, so exposure is assessed across the whole group. Continuous monitoring flags revenue declines, rising refund ratios, new liens and changes at linked entities. Wisetack moved its pass rate from 53% to 65% after making Enigma its primary source. Findigs automated 70% of self-employed income verifications. Payments: See the merchant beyond what it processes with you. Enigma supports merchant onboarding, tiering, share-of-wallet analysis and portfolio monitoring with each merchant's brands, locations, legal entities and measured card activity. Screening: Enigma combines sanctions and watchlists, including OFAC, BIS, State Department and UN lists, with linked public and proprietary data and AI search to find sanctioned entities, PEPs and their affiliates as they actually operate. A top 10 U.S. bank reduced false positives by 80%. Go-to-market: Know the accounts most likely to close. Enigma classifies businesses with more granularity than NAICS codes, shows true location counts and account size, and identifies the real owners behind brands. Enigma for AI Agents are built to reason, not to resolve. When an agent needs to know whether a business exists, is operating, who owns it or who it is paying, the answer usually isn't on the open web. Enigma gives agents one call to a resolved entity and its relationships. When the evidence doesn't point to a single entity, the agent gets an explicit no-match instead of a confident guess. Parallel and TinyFish ground their agents in Enigma when the question is about a real U.S. business, and Enigma is the only knowledge graph provider in Parallel's Index program. The Enigma KYB Compliance Agent on Google Cloud Marketplace makes compliance decisions on resolved entities instead of name strings. With Proof Business Certificates, Enigma helps verify the business on the other side of a payment, protecting vendor and treasury teams from vendor fraud. How you can use Enigma GraphQL API: One request returns one business, or its full network. MCP server: Connect Claude, ChatGPT, Cursor and other MCP clients in one step, with tools for KYB, business search, brand and location lookup, government records and negative news. Console: Search the graph and test queries in a GraphQL playground without writing code. Bulk files: Matched and enriched files for portfolio refreshes and list building. Typeahead and prefill: Start applications with structured business data from the same graph the decision is checked against. Who uses Enigma Banks, fintechs, payment providers, lenders, insurers, marketplaces, government agencies and AI builders. Typical users include compliance and KYB, credit and risk, fraud, merchant operations, sales and marketing operations, data teams, and AI engineers. Show More When users leave enigma reviews, G2 also collects common questions about the day-to-day use of enigma. These questions are then answered by our community of 850k professionals. 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