Unacast’s Aggregated Location Insights business is now Pine59 — dedicated exclusively to aggregated location intelligence.
Read more hereComparison · September 23, 2026
Privacy regulation keeps moving, and a product built on individual-level location data inherits every change. Why Pine59 is built on aggregated statistics about places and populations, and what that means for the companies building on us.
By Kjartan SletteIf you're building a product on top of any data source, you're making a bet.
Not just on the quality of the data today, but on whether that data will still be available to you tomorrow.
That's something I think the location intelligence industry needs to talk about more.
Privacy regulation isn't going away. Europe changed the landscape with GDPR, and the US is increasingly developing its own patchwork of state-level privacy regulation. The details differ, and will continue to differ, but the direction seems pretty clear: companies handling data connected to individual people or devices should expect more scrutiny, more requirements and more responsibility over time.
At Pine59, we've made a deliberate architectural choice that I believe puts us, and importantly the companies building on us, in a very strong position for that future.
Pine59 is built around Aggregated Location Intelligence.
Our customers don't receive device identifiers, individual movement histories or raw location traces. They receive statistics about places and populations.
How many people visited this location? Where do visitors to an area generally come from? How is traffic changing? How do two locations compare? How are people moving between areas?
Those are statistical questions, and we provide statistical answers.
Importantly, aggregation isn't something we simply apply at the very end before delivering the data to a customer. Our model is designed so that the signals used to create our products are aggregated before they become customer-facing location intelligence.
That distinction matters.
Nobody knows exactly what privacy regulation will look like five or ten years from now.
But we can see the direction.
GDPR fundamentally changed how companies think about personal data in Europe. In the US, privacy legislation is increasingly developing state by state, with different rules and restrictions around personal data, sensitive data and geolocation.
If your product depends on access to individual-level location data, every regulatory change potentially matters to your product.
Those aren't just compliance questions. If location intelligence is embedded in something you sell, they become product and revenue questions.
That's why I think architecture matters so much.
This is the part I find most important.
We're not designing Pine59 this way simply because we want Pine59 to be resilient to regulatory change.
Many of our customers are building Pine59 into their own analytics, software, AI, consulting products and decision systems.
Their customers may never even know Pine59 is there.
So when they choose us as an underlying data provider, they're making a long-term technology and business decision.
If regulation changes and an underlying dataset suddenly disappears from a market, the problem doesn't stop with the data provider. It travels straight up the stack.
A feature might stop working. Coverage might disappear. A customer commitment might become difficult to fulfil. And ultimately, revenue built on that product can be affected.
Our ambition is to make that risk much smaller.
By building Pine59 around aggregated statistics about places and populations rather than products exposing individual device-level data, we're creating a foundation designed to keep working as privacy expectations and regulation evolve.
This becomes particularly important in the US.
The US isn't developing one simple national privacy framework. States are introducing their own legislation, and companies increasingly need to understand a patchwork of different requirements.
For a location intelligence company, that could eventually create a very complicated map.
Different data in different states. Different products. Different permitted uses. Different infrastructure.
Our goal is much simpler.
We want Pine59 customers to be able to build products using the same statistical location intelligence across the United States without designing their product around access to individual movement data.
A retailer shouldn't need one analytics product for one state and another somewhere else. A technology company building on our API shouldn't have to redesign its product every time privacy legislation changes.
The more complicated the regulatory landscape becomes, the more valuable that simplicity becomes.
There's an important point here.
Future-proofing the data shouldn't mean making it useless.
Most of the questions our customers are trying to answer were statistical questions in the first place.
You don't need to know where an individual person went to answer those questions.
You need reliable statistics about what groups of people are doing.
That's what Pine59 is built to provide.
I don't think anyone can promise that a technology or data architecture is literally future-proof. Laws change. Technology changes. Society changes.
But you can make choices about what you're building on.
Our choice at Pine59 is to build around the minimum level of data necessary to create useful intelligence about the physical world, while avoiding the need for our customers to receive the underlying individual device-level data.
I think that gives Pine59 a strong foundation for whatever comes next.
More importantly, I think it gives our customers one too.
Because if you're building your product, your customer relationships and ultimately your revenue on top of our data, our ability to keep delivering becomes part of your ability to keep delivering.
That's the kind of infrastructure we want Pine59 to be.
Let's build!
Discover how Pine59 can power your analytics, products and AI with statistical insights about places and populations.