We Were Building with AI Before It Was a Buzzword

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Artificial Intelligence is everywhere today. Every industry conference has AI panels, every vendor touts an AI-powered solution, and every corporate strategy deck has AI in bold letters. But back in 2019, before the hype cycle, before Generative AI dominated headlines, our team at AmplifyIQ was already building with it.

And not because it was trendy.

We did it because it was the right way to solve a problem no one else was addressing.

Why We Started Early

Traditional mobile insurance pricing has long relied on simple variables: device model, age, and retail value. Those factors explain only part of the risk. What’s missing is how the device is actually used and handled.

We believed that the true signal of risk lives in behavioral data — the subtle patterns of drops, movement, charging, and environmental exposure that shape device health and claims outcomes.

So in 2019, we began applying AI and machine learning to capture and interpret those signals directly from smartphones. Long before “Generative AI” became a household term, we were using advanced AI techniques to model behavioral patterns and predict risk.

Even still today, nobody else in the industry is thinking about it. There was no ready-made dataset to lean on. We had to create one ourselves.

Building a Dataset That Didn’t Exist

Over the past several years, we’ve collected and curated proprietary data at scale —device behaviors, risk scores, and real-world claims outcomes.

This dataset is unique. It doesn’t exist anywhere else in the world. And it’s the missing pillar in solving risk: connecting behavior to claims in a quantifiable way.

By training our models on this data, we built an engine capable of:

• Smarter pricing: Adjusting premiums in real time to reflect actual risk.

• Fairer outcomes: Rewarding low-risk users instead of penalizing them with one-size-fits-all pricing.

• Better protection: Reducing claims, increasing loyalty, and creating sustainable protection programs.

Fast Forward to Today

Now, in 2025, AI is everywhere. Startups and incumbents alike are racing to show off AI pilots, prototypes, and experiments.

The difference is this:

• Many are still experimenting.

• Our technology is already proven, patented, and deployed.

We didn’t wait for AI to be fashionable. We committed early, built the moats, and validated our approach with real-world results.

The Lesson: Conviction Beats Hype

Being early isn’t about catching a wave of hype. It’s about conviction. It’s about seeing where the world is going before everyone else does — and having the discipline to build long-term foundations.

That’s why our patents matter.

That’s why our proprietary behavioral dataset matters.

That’s why partners trust us.

When everyone else finally catches up, it’s these moats — the data, the IP, and the real-world deployments — that keep us defensible.

Creating a New Category: Behavioral Intelligence

At AmplifyIQ, we didn’t just join the AI wave. We’re creating it in our own space.

We call it Behavioral Intelligence: the application of AI and Generative AI to real-world behavioral signals in order to power mobile insurance, trade-in valuation, and sustainable protection programs.

It’s more than a buzzword. It’s a category we’ve pioneered, with applications that extend across telecom, insurance, and the broader circular economy.

Where We Go Next

The world is only beginning to realize the potential of AI in insurance. For us, the work started years ago — and the next phase is scaling it globally.

If you’re a telecom, insurer, retailer or OEM looking to unlock fairer, smarter, and more sustainable protection programs, we’d love to talk.

Ask us how.