Skip to main content

Kandji announces $3.375M seed for sophisticated Apple MDM solution

Kandji, a new Apple MDM solution that promises to go far beyond Apple’s base MDM protocol and other solutions on the market, emerged from stealth today with a $3.375 million seed investment. The product is also publicly available for the first time starting today.

The round, which closed in March, was led by First Round Capital with help from Webb Investment Network, Lee Fixel, John Glynn and other unnamed investors.

Company co-founder and CEO Adam Pettit says the company’s founders have a deep knowledge in Apple. They all worked at Apple before leaving to run an Apple IT consultancy for more than 10 years.

He said that while they were at the consultancy, they developed a proprietary stack of tools to help with highly sophisticated Apple device deployments at large organizations, and it occurred to them that there was an unserved market opportunity to turn that knowledge into a new product.

Two years ago they sold the consultancy, took that knowledge and built Kandji from the ground up. Pettit says the new product gives customers access to a set of management tools that they would have charged six figures to implement at that their old firm.

One of the key differentiators between Kandji and other MDM solutions, or even Apple’s base MDM functionality, is a set of one-click compliance tools. “We’re the only product that has almost 200 of these one click policy frameworks we call parameters. So an organization can go in and browse by compliance framework, or we have pre built templates for companies that don’t necessarily have a specific compliance mandate in mind,” he said.

The parameters have all of the tools built in to automatically deploy a set of policies related to a given compliance framework without having to go through and manually set all of those different switches yourself. On the flip side, if you want to get granular and create your own parameters, you can do that too.

He says one of the reasons he and his partners were willing to give up the big dollar consultancy was because they saw a huge opportunity for firms that couldn’t afford those kind of services, but still had relatively large Apple device deployments. “I mean there’s a big need outside of just the specific kind of sophisticated compliance work we would do [at our previous firm]. We saw this big need in general for an Apple MDM solution like ours,” he said.

After selling their previous firm, the founders bootstrapped for a year while they developed the initial version of Kandji before seeking funding. Today, the company has 16 employees and a set of initial customers, who have been testing the product.



from TechCrunch https://ift.tt/2pWJqYE
via IFTTT

Comments

Popular posts from this blog

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...

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...

Max Q: Psyche(d)

In this issue: SpaceX launches NASA asteroid mission, news from Relativity Space and more. © 2023 TechCrunch. All rights reserved. For personal use only. from TechCrunch https://ift.tt/h6Kjrde via IFTTT