# Gravy Analytics

Gravy Analytics is an Asset Manager based in London, United Kingdom.

## Overview

- **Organization type:** Asset Manager
- **Headquarters:** London, United Kingdom
- **Region:** Europe
- **Address:** London, United Kingdom
- **Assets under management:** Undisclosed
- **Website:** gravyanalytics.com
- **LinkedIn:** https://www.linkedin.com/company/gravyanalytics

## Regulatory record

- **Reports private funds:** No

## About

Unacast provides the industry&#x27;s most trusted location intelligence and data. Make better decisions with real-world mobility insights.

## Sectors

- Enterprise Software
- AI/ML
- Real Estate
- Media & Entertainment

## Offices

- Boston
- New York

## Questions

### What type of entity is Gravy Analytics — a fund, a research house or something else?

Gravy Analytics is a data-products company, not an investment fund. It generates revenue by selling location-intelligence feeds, identity-resolution graphs and an AI-powered analytics platform to enterprise clients including telcos, consultancies, software firms and government agencies. It does not publicly manage third-party capital or make principal investments.

### How does Gravy Analytics source its location data?

The firm processes raw telecommunication-network location signals rather than relying on app-based SDK panels. This telco-centric ingestion model gives it broad geographic coverage, and the resulting data is cleaned, privacy-vetted and structured into human-mobility insights usable for commercial and analytical applications.

### Which industries does Gravy Analytics serve?

Publicly listed verticals include Retail, Real Estate, Telco, Consultancies, Government, Software and AdTech. Use cases range from foot-traffic benchmarking for commercial landlords and site-selection modeling for retail chains to audience targeting and supply-chain visibility.

### Does Gravy Analytics make its own privacy framework public?

The firm maintains a publicly accessible Privacy Policy and Retention Schedule on its website. It describes its methodology as designed to produce privacy-friendly insights from raw location data, though the specific technical architecture of the privacy layer is not detailed in public materials.

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Last updated: 2026-06-03T20:00:00.000Z

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