Scamnetic
AI platform for detecting marketplace and investment scams across communication channels.
| Date | Investors | Amount | Round |
|---|---|---|---|
| investor investor investor | €0.0 | round | |
* | $13.0m | Series A | |
| Total Funding | 000k | ||
Scamnetic is a cybersecurity company that has developed an artificial intelligence-based platform to detect and prevent various forms of online scams in real time. The company was established in 2024 by CEO Al Pascual, COO John Evans, and CRO Scott Grushoff. Al Pascual, a recognized expert in cybercrime, previously worked on anti-fraud measures at notable financial institutions like HSBC and Goldman Sachs. John Evans brings extensive experience in cybersecurity SaaS, having held executive leadership roles at Sontiq and TransUnion.
The firm emerged from stealth mode in August 2024 with $1.35 million in pre-seed funding and has since secured a total of $16 million after a Series A round in March 2025. This funding is aimed at accelerating the product roadmap and expanding marketing, sales, and customer support functions to meet global demand. Scamnetic operates on a B2B2C business model, offering its technology for integration into enterprise platforms, with plans to launch a direct-to-consumer subscription service. Its clients include businesses and service providers who want to protect their employees and customers from digital threats.
Scamnetic's core offering is a holistic scam-detection solution that combats a wide range of fraudulent activities, including those involving deepfake audio and video. The platform features several key components. "Scan&Score™" automatically analyzes emails, text messages, social media DMs, QR codes, links, and even physical mail to assess risk. "IDeveryone™" provides identity verification for counterparties in video, audio, or text interactions, helping to prevent dating, crypto, and investment scams. For individuals who have already fallen victim, the "Scam Intervention™" service offers 24/7 expert support to help recover assets and restore peace of mind. The platform is designed to identify various scam types, including brand impersonation, marketplace fraud, and tech support scams, by generating a risk score and providing insights into the detected deception indicators.
Keywords: scam detection, AI cybersecurity, fraud prevention, deepfake detection, real-time protection, B2B2C, identity verification, cybercrime, phishing prevention, digital security, online safety, investment scam, dating scam, crypto scam, enterprise security, consumer protection, risk assessment, threat detection, Scan&Score, IDeveryone