Skip to main content

Deal Dive: This AI startup is racking up government customers

Tax evasion, money laundering and other financial crimes are massive, costly issues. In 2021, the Internal Revenue Service estimated that the U.S. loses $1 trillion a year due to tax evasion alone. IVIX thinks AI can help with that.

The Tel Aviv–based startup uses AI, machine learning and public databases of business activity to help government entities spot tax noncompliance, in addition to other financial crimes. IVIX was founded by Matan Fattal and Doron Passov in 2020. Fattal was working at his prior cybersecurity startup, Silverfort, at the time, but when he discovered how large of an issue these financial crimes are — and how governments didn’t have the technology to fight them — he switched gears.

“I was shocked by the magnitude of the problem and the technical gap that they had,” Fattal told TechCrunch+. “State or federal, there are pretty much the same [technological] gaps.”

Three years later, the startup has landed government contracts with federal agencies, including the IRS criminal investigation bureau; made notable hires like Don Fort, the former chief of criminal investigations at the IRS; and raised a $12.5 million Series A led by Insight Partners, which was announced last week.



from TechCrunch https://ift.tt/UZmLNep
via IFTTT

Comments

Popular posts from this blog

The Silent Revolution of On-Device AI: Why the Cloud Is No Longer King

Introduction For years, artificial intelligence has meant one thing: the cloud. Whether you’re asking ChatGPT a question, editing a photo with AI tools, or getting recommendations on Netflix — those decisions happen on distant servers, not your device. But that’s changing. Thanks to major advances in silicon, model compression, and memory architecture, AI is quietly migrating from giant data centres to the palm of your hand. Your phone, your laptop, your smartwatch — all are becoming AI engines in their own right. It’s a shift that redefines not just how AI works, but who controls it, how private it is, and what it can do for you. This article explores the rise of on-device AI — how it works, why it matters, and why the cloud’s days as the centre of the AI universe might be numbered. What Is On-Device AI? On-device AI refers to machine learning models that run locally on your smartphone, tablet, laptop, or edge device — without needing constant access to the cloud. In practi...

Apple’s AI Push: Everything We Know About Apple Intelligence So Far

Apple’s WWDC 2025 confirmed what many suspected: Apple is finally making a serious leap into artificial intelligence. Dubbed “Apple Intelligence,” the suite of AI-powered tools, enhancements, and integrations marks the company’s biggest software evolution in a decade. But unlike competitors racing to plug AI into everything, Apple is taking a slower, more deliberate approach — one rooted in privacy, on-device processing, and ecosystem synergy. If you’re wondering what Apple Intelligence actually is, how it works, and what it means for your iPhone, iPad, or Mac, you’re in the right place. This article breaks it all down.   What Is Apple Intelligence? Let’s get the terminology clear first. Apple Intelligence isn’t a product — it’s a platform. It’s not just a chatbot. It’s a system-wide integration of generative AI, machine learning, and personal context awareness, embedded across Apple’s OS platforms. Think of it as a foundational AI layer stitched into iOS 18, iPadOS 18, and m...

Billionaire clothing dynasty heiress launches Everybody & Everyone to make fashion sustainable

Veronica Chou’s family has made its fortune at the forefront of the fast fashion business through investments in companies like Michael Kors and Tommy Hilfiger . But now, the heiress to an estimated $2.1 billion fortune is launching her own company, Everybody & Everyone , to prove that the fashion industry can be both environmentally sustainable and profitable. There’s no argument about the negative impacts of the fashion industry on the environment. The textiles industry primarily uses non-renewable resources — on the order of 98 million tons per year. That includes the oil to make synthetic fibers, fertilizers to grow cotton, and toxic chemicals to dye, treat, and produce the textiles used to make clothes. The greenhouse gas footprint from textiles production was roughly 1.2 billion tons of CO2 equivalent in 2015 — more than all international flights and maritime shipments combined (and a lot of those maritime shipments and international flights were hauling clothes). The lit...