Within the app, you can add safe zones, more pets with Fi trackers, and other users who can also track and monitor the pet. There’s a Health tab where you can add and store things like vet records, receipts, and insurance information, and add vets to easily share your pet’s documents and get appointment reminders. You can also set up the Fi app on your Apple Watch to have even quicker access to monitor your pet’s location, activity, and safety (including Lost Mode) without needing a phone.

When you open the app, you’ll see a map with live tracking showing where your pet is currently, as well as a notification of the last time they were outside and where they were. With the latter, you can pull up stats like location timeline, showing where they were and when. If you dive into any day when the tracker left the home, it will recreate the route, following the path and calculating the distance the pet traveled.

There’s also health-monitoring data from activity and sleep tracking, which is most useful for an indoor-only pet like mine. Like other health-tracking collars, stats for sleep and activity aren’t 100 percent accurate, as the app uses GPS to track movement, categorizing “activity” when the animal is moving and “sleep” when the pet is still for a prolonged period. This means that if Basil was awake but stationary, the app may inaccurately categorize this as sleep.

In the Rest tab, you can see sleep metrics, including a daily summary of deep sleep, naps, and interruptions during nightly sleep. You can compare this over time, and the app notes how much more or less Basil slept than the night before. It also compares stats historically, by week, month, and year, so you can track trends and better understand your pet’s normal sleep schedule.

The Activity tab is similar, tracking activity by day, week, and month, noting in the day’s timeline when the pet was most active and for how long. This also compares activity to the day before. I liked looking at the weekly report, comparing days during the week to see which he was most active during and if any patterns in activity popped up.

For example, I noticed that his sleep-versus-activity schedule was similar to mine, except he was active between 4:45 and 6:30 am (while I was still asleep), because that’s when his automatic feeder goes off for breakfast and my roommate is getting ready to leave for work. He was most active in the evenings, when I feed him dinner, have dedicated playtime, and my roommates are home, so there’s more activity to keep him awake. Historical comparison is also a super helpful way to track whether your pet is sleeping more or becoming more lethargic—an early warning sign of a bigger health problem.

Not Without Its Quirks

Since my cat is indoor-only, I ran some experiments to track location, using GPS on both the Fi Mini tracker and my phone. I also had a friend take the tracker out without my phone nearby to see whether I’d get pinged that “Basil” had left the safe zone.

Although it is better than not being alerted at all, the Fi’s GPS has limitations (as did the Tractive tracker I tested). It needs a strong signal to communicate with cell towers for accurate location. If your phone is close to the smart collar (via Bluetooth), it uses that instead of the Fi’s GPS, making it more accurate and alerting quicker. If the pet gets loose and is out of range of your phone, it uses the collar’s cellular antenna (in this case, Verizon cell towers). But because the Fi’s antenna isn’t as strong as a phone’s, location accuracy is lower, and the connection can be very spotty, especially if your pet is in the country or on acreage where cell towers are farther away.

The other goal of the Button is rapid response time. Unlike the Humane Ai pin, which got lots of criticism for taking a painfully long time to reply to queries, the Button is designed to be nearly instantaneous. In a demo via Zoom call, I watched Nolet ask the Button for a recommendation for the best sandwich shops in my neighborhood. While the Button didn’t choose my idea of the best sandwich place around, it did at least answer all the questions within a second. It can also be immediately interrupted by pressing the button, which is a great feature for people like me who cannot tell a chatbot to shut up fast enough.

Nolet is unapologetic about the very clear Apple ethos you might be able to suss out in the design.

“The Humane pin felt a little geeky to wear, right?” Nolet says. “But the iPod shuffle? Really cool. That’s where the idea started, and then we just put all of our Apple-esque expertise into it and tried to refine it into something that we thought would actually be useful.”

Nearly all their product images and videos show the Button being used as a wearable, but Nolet insists the device can also be kept in a pocket, bag, or car glove box as well.

“My cofounder says we can’t tell people it looks cool; they have to decide,” Nolet says. “Our intention is to build something that is kind of fashionable, but it’s up to you guys to tell us if it’s cool.”

Though Apple has long been a leader in technological coolness, it has struggled in the virtual reality space, specifically with its too expensive, too heavy Vision Pro and that devices complicated rollout. Apple is not alone on that front. Meta is actively rejiggering support for its VR efforts. Nolet posits that part of the reason for that instability is that VR has required building hardware and the software ecosystems to support it at the same time.

“There was no software innovation that we were anchored to as an industry, so I think it’s quite a hard pitch,” Nolet says. “It’s much, much easier to stand on the shoulders of giants.”

As part of a Series A extension designed to strengthen the artificial intelligence (AI)-native smart industry services provider’s position as an emerging intelligence layer for factories, logistics environments and original equipment manufacturer products, Finland-based Treon has gained €6.8m from a strategic investment led by Silicon Valley-based ACME Capital.

Established in 2016 by experts with a strong background in wireless communications, battery-operated devices and smartphones, Treon has the stated mission of providing scalable internet of things (IoT) services built to help customers overcome challenges in physical operations. It aims to help businesses boost productivity, and enhance operational visibility and long-term sustainability.

The company’s core integrated predictive maintenance cloud services combine AI analytics, a mobile-first user experience, automated workflows and wireless vibration sensors delivered as a managed service with scalable subscription pricing. Treon currently supports more than 200 customers worldwide across the manufacturing, material handling and logistics sectors. This model is said to support continued multiyear recurring revenue growth.

Treon said that while global industrial production continues to rise, companies face an unprecedented challenge: how to maintain increasingly large fleets of assets as the workforce of skilled specialists shrinks.

To address the challenges presented by this dynamic, Treon is executing a strategy to build AI-native maintenance orchestration that transforms industrial environments from reactive and manual to predictive, contextual and autonomous, thus boosting efficiency and productivity. This direction, it said, aligns strongly with ACME’s investment thesis in physical AI and next-generation manufacturing.

With offices in San Francisco and investing across the US and Europe, ACME Capital’s strategy focuses on deep tech sectors including aerospace and defence, AI, robotics, health, advanced materials, and next-generation manufacturing.

The funding round will see ACME join Ventech as a board member, bringing deep expertise in scaling frontier technologies into real-world industrial systems.

Joni Korppi, Treon CEO, said: “As we enter a new era of AI-native industrial operations, ACME’s partnership strengthens our ability to scale the industrial AI technologies globally. ACME’s experience in building transformational technology companies, combined with our industrial AI platform and our exceptional team, will accelerate the transformation of factories and logistics hubs around the world.”

ACME Capital partner Christian Tang-Jespersen added: “Treon has built a remarkable foundation at the intersection of hardware, software and AI. The company’s focused strategy and strong execution capabilities make it a category-defining leader in the shift from predictive maintenance to autonomous operations. We’re excited to partner with Treon, a reflection of Europe’s technical strength and ACME’s commitment to helping the company scale and bridge Europe and the US.”

The Treon AI-native Maintenance Orchestration Layer is set to be unveiled at Hannover Messe 2026, showcasing a smart motor with Treon intelligence embedded inside, alongside its Agentic AI Technician Companion user experience.

In December 2025, the company announced that its cloud-native, AI-first predictive maintenance Flow service for material handling was available on Amazon Marketplace.

Built to deliver zero downtime operations, Flow aims to help enterprises detect faults early, reduce maintenance costs and scale from pilot to thousands of assets. With installation measured in days, it uses AI and machine learning to analyse vibration and temperature data to automatically identify abnormal patterns, predict potential failures, and generate actionable alerts on mobile and cloud applications.