
Lucinity
Uses human AI to help banks fight financial crime more efficiently.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor | €0.0 | round |
investor | €0.0 | round | |
investor investor | €0.0 | round | |
investor investor investor investor | €0.0 | round | |
* | $17.0m | Series B | |
Total Funding | 000k |
EUR | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% growth | - | - | 184074 % | 79 % | 16 % | 8 % |
EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% profit margin | - | (516 %) | (86 %) | (147 %) | (316 %) | - |
EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article, Dealroom estimates
Related Content
Lucinity is a pioneering company in the field of financial crime compliance, leveraging advanced artificial intelligence (AI) to provide innovative solutions. The company's platform is designed to be user-friendly, offering fast and clear insights that enhance the efficiency and decision-making capabilities of compliance professionals. Lucinity serves financial institutions and businesses that require robust anti-money laundering (AML) systems to combat financial crime. Operating in the financial technology (fintech) market, Lucinity's business model revolves around a Software-as-a-Service (SaaS) approach, where clients subscribe to use their AI-powered compliance tools. The company generates revenue through subscription fees and possibly additional services related to compliance and fraud management. Lucinity's platform is particularly noted for its ability to complement the skills of compliance professionals, making them more effective in their roles by automating routine tasks and providing actionable insights. This not only saves time and money for institutions but also enhances their ability to detect and prevent financial crimes.
Keywords: AI, financial crime, compliance, AML, fintech, SaaS, insights, automation, fraud management, efficiency.