Draft:Resistant AI Source: en.wikipedia.org/wiki/Draft:Resistant_AI

Submission declined on 26 June 2025 by Lijil (talk). This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are: in-depth (not just brief mentions about the subject or routine announcements) reliable secondary strictly independent of the subject Make sure you add references that meet all four of these criteria before resubmitting. Learn about mistakes to avoid when addressing this issue. If no additional references exist, the subject is not suitable for Wikipedia. If you would like to continue working on the submission, click on the "Edit" tab at the top of the window. If you have not resolved the issues listed above, your draft will be declined again and potentially deleted. If you need extra help, please ask us a question at the AfC Help Desk or get live help from experienced editors. Please do not remove reviewer comments or this notice until the submission is accepted. Where to get help If you need help editing or submitting your draft, please ask us a question at the AfC Help Desk or get live help from experienced editors. These venues are only for help with editing and the submission process, not to get reviews. If you need feedback on your draft, or if the review is taking a lot of time, you can try asking for help on the talk page of a relevant WikiProject. Some WikiProjects are more active than others so a speedy reply is not guaranteed. How to improve a draft Wikipedia:Contributing to Wikipedia – a basic overview on how to edit Wikipedia. Help:Wikitext – how to use the markup Help:Referencing for beginners – how to include references Wikipedia:Article development – how to develop your article Wikipedia:Writing better articles – how to improve your article Wikipedia:Verifiability – make sure your article includes reliable third-party sources You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Add tags to your draft Editor resources Easy tools: Citation bot (help) | Advanced: Fix bare URLs Declined by Lijil 1 second ago. Last edited by Lijil 1 second ago. Reviewer: Inform author. Resubmit Please note that if the issues are not fixed, the draft will be declined again.

Submission declined on 26 June 2025 by MCE89 (talk). This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are: in-depth (not just brief mentions about the subject or routine announcements) reliable secondary strictly independent of the subject Make sure you add references that meet all four of these criteria before resubmitting. Learn about mistakes to avoid when addressing this issue. If no additional references exist, the subject is not suitable for Wikipedia. Declined by MCE89 5 hours ago.

• Comment: Just adding more references isn't going to do the trick. Read WP:COMPANY. References 22-46 are all examples of trivial coverage according to these guidelines: they're just about funding aquisitions and which platforms it's available on. Piling on sources with trivial coverage won't help establish notability. If you'd like to contribute to the Wikipedia it would be better to try improving existing articles before you write an article from scratch. Also, make sure that if you have a conflict of interest (e.g. you are paid to write this article) you follow the rules for that - see WP:COI. Lijil (talk) 19:10, 26 June 2025 (UTC)

• Comment: I don't see any sources that don't fall into the category of WP:CORPTRIV MCE89 (talk) 13:31, 26 June 2025 (UTC)

Resistant AI is a fraud detection software company headquartered in Prague, Czech Republic, that allows banks and fintechs to verify documents for fraud with artificial intelligence and machine learning.^{[1][2][3][4][5][6]}

As of 2025, the company had approximately 100 employees across its 3 offices in Prague, London and New York,^[7][8] and their document verification system had analyzed 150 million documents globally.^[9]

Resistant AI was founded in 2019 in Prague, Czech Republic, by serial entrepreneur and AI university lecturer Martin Rehak.^[10] Martin Rehak has been lecturing on artificial intelligence and cybersecurity at the Czech Technical University (CTU) in Prague for the past 18 years. Prior to founding Resistant AI, Martin Rehak was the CEO & Founder of Cognitive Security, which was acquired by Cisco in 2013 and became the basis of Cisco’s Cognitive Threat Analytics (CTA) team, providing advanced threat detection to over 25 million users worldwide by analyzing their network traffic.^[11]

Martin Rehak met other Resistant AI co-founders at the Czech Technical University, where they came together as a team of researchers. Most of Resistant AI’s co-founders have completed PhDs in artificial intelligence, computer engineering, or related fields at prestigious European universities.^[12]

Resistant AI has 2 main products which can be combined: One solution to detect fraudulent documents, and one solution to detect fraudulent transactions.^[13]

• Resistant AI Document Forensics allows companies to verify documents and detect fraud with AI. The solution analyzes any digital document — bank statements, payslips, tax forms, business registrations, ID cards, and more submitted in PDF or image formats — over 500 different ways to detect signs of forgery.^[14] The document fraud detection solution is used by onboarding and underwriting teams to spot fraud in Know Your Customer (KYC), Know Your Business (KYB) and lending documents. ^[15]
• Resistant AI Transaction Forensics helps companies enhance their Anti Money Laundering (AML) transaction monitoring systems, by detecting fraudulent transactions with suspicious behavioral pattern analysis.^[16][17][18]

Resistant AI works with leading banks and financial institutions around the world to help protect their assets from losses caused by fraud.^[19][20]

The company claims to have hundreds of customers globally, across several industries: financial services, payments, insurance, lending (such as digital mortgage, online brokerage, auto loans, business loans).^[21]

A non-exhaustive list of Resistant AI's customers can be found below:

• Payoneer
• Habito
• Silverbird
• Raiffeisen Bank
• Woodside Credit
• LYNK Capital
• Planet 42
• Finom
• Verto
• Close Brothers
• XTB
• Bank of Valetta
• Lemonade
• Capital on tap
• dun&bradstreet
• Instabase

Resistant AI raised a Series A round of $27.6 million in 2023. Prominent venture capital firms such as GV, Index Ventures, Credo Ventures, Seedcamp, and Notion Capital participated in the round.^{[22][23][24][25][26][27][28][29][30][31][32]}

As of 2025, Resistant AI is available on partner platforms such as AWS, Google Cloud, ABBYY, or Salesforce AppExchange. Other partnership deals include the ones with Tungsten Automation, Instabase, Comply Advantage, Fintrail, Koodoo, Flinks, LexisNexis, or IDVerse.^{[33][34][35][36][37][38][39][40][41][42][43][44][45][46]}

Resistant AI is a double winner of the PwC Hackathon, having been awarded 'Digital Crime Fighter of the Year' in 2022 and 2023, for winning the ACAMS Hollywood conference’s hackathon challenge in Florida, United States.^[47] The Resistant AI solution won by using machine learning techniques to uncover undetected anomalous patterns and suspicious behaviors indicative of human trafficking offenses.^[48]

In December 2024, Resistant AI ranked as the 50th fastest growing startup in Europe in Sifted 250 ranking, which ranks the 250 startups with the highest percentage revenue growth in Europe over the past 3 financial years.^[49]