The foundation under everything
Mobility data is the foundational layer of the Dymos infrastructure, the real-world signal that every audience, segment and identity connection is built on. For teams that build their own audiences and models, we provide the cleanest possible foundation: real-world mobility delivered with the coverage, traceability and freshness that downstream work depends on.This is where the Dymos story starts. We transform observed real-world movement into something your data science and modeling teams can trust, not modeled assumptions, but where people actually go.
What is actually in the data
Volume is table stakes. Freshness, coverage and lineage are what differentiate. Most vendors hide that depth inside a global average. We don’t.
1.6B
Unique MAIDs
observed globally
~660M
Unique hashed e-mails
SHA1, SHA256, MD5
~12.6B
MAID → HEM
association
150+
Countries
with country-level depth
Volume is table stakes. Freshness, coverage and lineage are what differentiate. Most vendors hide that depth inside a global average. We don’t.
Infrastructure You Can Trust.
Results You Can Prove.
The organizations that power digital advertising globally don't build their own foundation. They build on ours.
Unmatched density
First-party SDK sourcing at high observation density, with clear lineage and granular enough to model on.

Global coverage
Observed signal across 150+ countries, with consistent quality in every market you operate in.

Predictably fresh
Refreshed on a predictable cadence, so audiences reflect current behavior, not last year’s snapshot.


Compliant by design
Privacy-first sourcing and processing in every signal, built in from the start, not bolted on.

One foundation. Everything is built on it.
The same clean signal runs underneath the whole stack: it powers our own products, and it is the ground your in-house audiences and models build on.

One clean signal that powers home location, visit audiences, and the identity and segmentation layers built on top of it.
The same foundation powers our entire infrastructure. Delivered as standard flat files (S3 / GCP bucket or SFTP) in formats your systems already support, mobility data underpins:
- Home area resolution, the resolved home of a device or the predominant residential location behind an IP.
- Visit-based audiences, verified real-world presence at brands, categories and custom areas.
- The identity and audience layers, the behavioral evidence behind deterministic segmentation across MAID, IP and HEM.

Built for the teams who do their own modeling, and need ground truth they can trust beneath it
Dymos mobility is for teams who would rather build than buy finished segments:
- In-house modeling, a clean and traceable foundation your data science team can build on directly
- Your own audiences, raw real-world signal to shape into segments, not a finished product someone else defined
- Stronger output, because the cleaner the input signal, the more your own modeling can do with it
What teams do with it
When you build your own audiences in-house and need a clean, traceable signal to shape, not a finished segment someone else defined.
When your models run on modeled or stale inputs, and you want observed real-world behavior underneath them instead.
When you need consistent coverage across many markets from one source, rather than stitching together regional data vendors.
When you measure real-world outcomes, like store visits or footfall, and need ground-truth location signal to measure against.
When you enrich your existing identifiers or CRM with real-world behavior, and want the underlying signal rather than a packaged output.
Trusted by teams at







Trust & Privacy
Privacy isn’t a checkbox at the end of our process, it’s the architecture. Dymos is built to give you scale and addressability without ever handling the raw personal data that creates risk. The result is infrastructure your legal and data-protection teams can sign off on, in every market you operate in.
Three layers, one foundation.
Each works on its own, and they are strongest together.



