- Specialization
- Security
- Business
- Software Applications
- Market
- Financial Services
- Ecosystem
- Applications
- Customers
- Enterprises
More details
- Organization type
- Commercial Company
- Ecosystem
- Applications
- Business
- Software Applications
- Specialization
- Security
- Market
- Financial Services
- Customers
- Enterprises
- Delivery models
- Hosted Software
- Revenue models
- Subscription
- Listing status
- Not classified
- Latest equity round
- Series A
- Reported funding amount
- Not classified
About
Flagright builds an AI-native financial-crime compliance platform for fintechs, banks, and other regulated financial institutions. Its unified system combines transaction monitoring, watchlist screening, investigations, risk scoring, governance, and explainable AI, differentiating it through audit-ready workflows, rapid deployment, and reduced false positives.
Market
Flagright competes in the AML, KYC, fraud-prevention, transaction-monitoring, and broader financial-crime compliance software market. It positions itself as an AI-native, unified operating system rather than a point solution, differentiating through explainable and governable AI agents, no-code real-time monitoring, integrated investigations and governance, rapid deployment, and claimed reductions in false positives and compliance costs.
Flagright primarily serves highly regulated fintechs, payment companies, digital banks, neobanks, and traditional financial institutions, ranging from fast-growing companies to large enterprise operations. Its main buyers and users are AML, financial-crime compliance, fraud, investigations, and risk-operations teams seeking to scale transaction volumes without proportionally increasing headcount.
At a Glance
Problem
Financial institutions, fintechs, banks, payments companies, and other regulated businesses need to detect money laundering, fraud, sanctions exposure, and other financial crime while processing increasingly large transaction volumes and meeting rising regulatory expectations. The pain is operational as well as financial: rigid legacy systems are difficult to adapt, while fragmented point solutions add complexity, generate false positives, and burden compliance teams with manual investigation and audit work. Flagright’s core use case is helping teams monitor transactions in real time, identify suspicious activity, investigate alerts, and produce defensible compliance decisions.
Product / Service
Flagright provides an API-based, AI-native AML and financial-crime compliance platform. Its unified system combines real-time transaction monitoring, watchlist screening, risk scoring, case management, investigations, AI forensics, and governance workflows. Customers can configure rules without code, integrate the platform through APIs, and deploy it in as little as two weeks.
The benefit is a single audit-ready operating layer intended to replace disconnected compliance tooling while preserving human oversight, explainability, and control. Flagright says its transaction-monitoring product can reduce false positives by up to 93%, allowing compliance teams to focus more of their time on genuinely risky cases and make faster, more transparent decisions.
Market
Flagright competes in the AML, transaction-monitoring, fraud-prevention, and broader financial-crime-compliance software market. Its stated positioning is an “AI operating system” for financial-crime compliance, competing conceptually with rigid legacy compliance platforms and fragmented point solutions. The available evidence does not identify specific named competitors, so the clearest competitive distinction is Flagright’s unified, explainable-AI approach versus those incumbent and point-solution alternatives.
The company is not presented as pre-revenue in the available materials, but no revenue figure or revenue status is disclosed. It reports that its platform is trusted by more than 100 financial institutions across 30-plus countries, and in June 2026 it announced a $12.5 million Series A led by Infinity Ventures, following a $4.3 million seed round led by Frontline Ventures. The funding is intended to expand AI use cases across compliance operations and increase its US market presence.
Founders & Leadership
Funding History
Not disclosed by Tracxn
Moonfire Ventures
Frontline Ventures
Infinity Ventures
Recent News
Flagright announced that Chartis Research named it a Category Leader in its 2026 AML Transaction Monitoring Solutions report. Flagright said the recognition highlighted its API-first architecture and AI-supported investigations.
Flagright AI was presented in a Launch YC announcement as a GPT-powered toolkit for AML compliance operations. The listing describes merchant monitoring and alerting, plus CRM integrations with GPT-generated summaries, and offers a 50% discount to the first five customers who sign up.
HashKey Technology Services selected Flagright for financial-crime compliance across its Singapore operations. The announcement identifies the customer and scope of the selection, but does not state deal terms.
Codex chose Flagright for transaction monitoring and AML screening. Flagright said the implementation would provide real-time surveillance of stablecoin flows, automated risk scoring, and case management for Codex’s global payments network.
A Flagright industry page dated September 15 lists a customer update titled “Zuba Selects Flagright for…” under its brokerage and trust material. The available text identifies Zuba as the selecting customer but does not show the rest of the headline or the scope of the selection.
On August 24, 2026, Flagright announced that it became a Nacha Preferred Partner for ACH compliance, fraud monitoring, and risk and fraud prevention. The partnership enables Flagright to engage with payments practitioners on risk-based transaction monitoring, fraud prevention, AML compliance, investigations, governance, and responsible AI across ACH operations.
Flagright announced that digital-asset exchange and blockchain-solutions company BTSE selected its platform for AML and anti-financial-crime operations. BTSE will deploy the system across its own trading platform and offer Flagright capabilities to white-label exchange clients, including dynamic risk scoring, watchlist screening, case management, and audit-ready governance.
Flagright announced that global payments and foreign-exchange infrastructure provider Verto selected its platform to strengthen financial-crime controls. The deployment provides real-time, risk-based transaction monitoring, alert triage and investigation workflows, analytics, and reporting across Verto’s payment and account flows.
Flagright announced a partnership with Singapore-headquartered fintech Aspire to strengthen AI-enabled financial-crime compliance across Aspire’s business-finance operations. The collaboration covers transaction monitoring, screening, risk scoring, case management, and related governance workflows.
Flagright raised a $12.5 million Series A led by Infinity Ventures, with participation from Sella and existing investors Frontline and Y Combinator. The funding will support explainable AI across compliance operations and expansion of the company’s U.S. enterprise presence.
Flagright highlighted its integration with Integrated Finance, combining Integrated Finance’s orchestration of financial operations with Flagright’s real-time AML checks, transaction monitoring, and risk scoring.
Flagright introduced an AI-powered rule-management approach with real-time observability, rule simulations, shadow rules, analytics, and intelligent tuning tools. The product is designed to reduce false positives, improve detection accuracy, and help compliance teams adapt monitoring rules to changing risks.
Flagright ranked 37th on Sifted 250: Europe’s Fastest-Growing Startups 2025, making it the highest-ranked RegTech and fastest-growing AML-compliance company on the list.
Active Roles
9Business Model
Flagright sells its platform as a cloud SaaS subscription to financial institutions. Customers pay for the service as they use it, avoiding the infrastructure and maintenance costs of running an equivalent in-house system.