Beautiful Places AI

What Beautiful Places AI does

Beautiful Places AI Community Interest Company is a UK-based data company that quantifies the scenic beauty of locations using AI trained on crowdsourced human ratings. Its core technology is a convolutional neural network, developed at the University of Warwick and the Alan Turing Institute, that scores images on a 0–10 scenicness scale using transfer learning from MIT Places365 and more than 1.5 million human beauty ratings across 8 million+ images. The platform layers on a multimodal large language model that verifies and matches user-submitted photos to real locations, plus a separate Street-Frontage-Net CNN that classifies street frontage quality with up to 92.0% accuracy.

The company distributes through a consumer mobile app on iOS and Android (under the 'DiscoverBeautifulPlaces' brand) where users contribute photos and rate scenic places, and through three B2B data products delivered via API and Model Context Protocol: Beautiful Places POIs & Imagery (30k+ UK POIs), Neighbourhood Beauty Ratings, and a Greenspace Quality Index built on Ordnance Survey Open Greenspace data. Its stated customer segments are property platforms, travel and tourism operators, and relocation services, with additional non-paying access provided to academic researchers and social-good organisations. The dataset currently covers 119,171 mapped places across 49 countries, against a stated goal of mapping 1 million beautiful places worldwide.

Commercially, the company operates under a dual-entity structure: the CIC holds and protects the underlying data with an asset lock, while a wholly owned trading subsidiary, Beautiful Places AI Technologies Ltd, licenses data to commercial partners under bespoke, demo-request-based pricing. Revenue mechanics are therefore subscription/recurring API licensing at custom enterprise pricing, supplemented by a freemium research tier. The team is small, comprising the two founders (Chanuki Seresinhe, PhD and Stephen Law, PhD), an advisor (Gianni Giacomelli), a tech lead, and research staff, and no institutional funding rounds are disclosed in the available data.

Name

Beautiful Places AI

Legal name

Beautiful Places AI Community Interest Company

Website

https://beautifulplaces.ai

Company type

Private

Founded year

2024

Operating status

Operating

Headcount range

1–10 employees

Short description

Beautiful Places AI is a UK-based data company that uses convolutional neural networks and multimodal LLMs trained on 1.5 million+ human beauty ratings to score scenic quality of locations, serving property platforms, travel companies, and relocation services via API, MCP, and a consumer mobile app.

Ownership category

akta.pro rank

Product category

Geospatial AI Data Platform

akta.pro industry

PRIMARYBPAMANAD

POI, Local Listings & Business Directory Platforms

Business & Public Services/Web, Mobile & Digital Platforms/Maps, Location & Navigation Platforms

SECONDARYBPAMANAA

Consumer Navigation & Turn-by-Turn Apps

Business & Public Services/Web, Mobile & Digital Platforms/Maps, Location & Navigation Platforms

Keywords

• Scenic beauty data
• Neighbourhood beauty ratings
• Geospatial AI platform
• Location data API
• Environmental analytics

Headquarters

HQ city

London

HQ country

United Kingdom

HQ region

Europe

Offices2 records

Markets served

GTM type

B2B and B2C

Offering type

Software

Cost components

Personnel, Technology or R&D

Revenue model

1. Data API Licensing: Commercial licensing of Beautiful Places POIs, Neighbourhood Beauty Ratings, and Greenspace Quality Index data via API and MCP to property platforms, travel companies, and relocation services. Pricing available via demo request.
2. Free Data for Researchers: Data provided free of charge to researchers investigating the relationship between beauty and social, community, or economic wellbeing. Social good organisations focused on quality of life, public health, community cohesion, or local economies receive free access.

Pricing tiers

Go-to-market motion3 records

Distribution channels3 records

Marketing channels5 records

Core offering

Beautiful Places AI combines a consumer mobile app for discovering and rating scenic locations with three B2B data products licensed via API and Model Context Protocol: Beautiful Places POIs & Imagery (30k+ UK POIs with thumbnails and coordinates), Neighbourhood Beauty Ratings (beauty scores across UK neighbourhoods derived from 8M+ images), and Greenspace Quality Index (green space visual quality scores using Ordnance Survey data). All products are powered by a proprietary CNN trained on 1.5M+ human beauty ratings originating from research at the University of Warwick and the Alan Turing Institute.

Product overview

Beautiful Places AI operates as a platform centred on its mobile app (available on iOS and Android) for discovering and contributing beautiful places, complemented by three data API products: Beautiful Places POIs & Imagery (dataset of 30k+ UK POIs with images), Neighbourhood Beauty Ratings (beauty scores at neighbourhood level), and Greenspace Quality Index (green space quality scores). All three data products are accessible via the company's own API and MCP (Model Context Protocol). The proprietary Scenic Ratings Algorithm, trained on 1.5 million+ human ratings, underlies all offerings and processes images to quantify scenic beauty at scale.

Differentiator

Problem solved

Functional benefit

Products and services

• Beautiful Places AI Mobile App Mobile application for iOS and Android that lets users discover beautiful places, contribute photos, and rate scenic images. Powers the community-led data generation that feeds the company's AI models and supports a global map of 119,171+ mapped beautiful places across 49 countries.
• Beautiful Places POIs & Imagery Curated dataset of beautiful Points of Interest across the UK (30k+ POIs with title, coordinates, and thumbnail images), with worldwide coverage in development. Sold via API and Model Context Protocol (MCP) for integration into property, travel, and relocation platforms.
• Neighbourhood Beauty Ratings Beauty scores for UK neighbourhoods at postcode sector, ward, or custom boundaries, derived from AI analysis of over 8 million geographically representative images, trained on 1.5M+ human beauty ratings. Comes with highest-rated images from each area. Available via API and MCP.
• Greenspace Quality Index Green space visual quality scores for UK neighbourhoods combining Ordnance Survey Open Greenspace data with AI beauty ratings of images within greenspace boundaries. Available via API and MCP.

Quantifiable outcome

• Neural network achieves accurate identification of scenic places, highlighting both natural and built locations
• +5 more outcomes

Named customers3 records

Segments6 records

Ideal customer profiles6 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

AI capability7 records

Feature6 records

Scale indicators8 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• GeoPhy: GeoPhy applies AI to geospatial and property imagery to produce automated valuations and analytics for real estate. It shares Beautiful Places AI's AI-on-imagery-meets-property-data positioning but with a different output (valuation vs. beauty).
• Mapbox: Mapbox provides a maps and location platform with POI data, APIs, and SDKs sold to enterprise developers — the same B2B data-licensing model Beautiful Places AI uses for its POI and neighbourhood datasets, but at much larger global scale.
• AllTrails: AllTrails runs a consumer mobile app for discovering scenic outdoor places and trails, with a community contribution model. It is the closest consumer-side analog to Beautiful Places AI's mobile app for scenic discovery and rating.
• Placer.ai: Placer.ai provides location analytics and foot-traffic data sold to retailers, real estate, and travel clients — overlapping customer segments with Beautiful Places AI's property/travel platform buyers and a similar data-as-a-service business model.
• Foursquare: Foursquare licenses POI and places data to enterprise customers via APIs and data products. Beautiful Places AI competes in the same B2B POI data licensing space but with a narrower focus on scenic-beauty scoring.
• Walk Score: Walk Score scores neighbourhoods on walkability/transit/bike metrics and licenses these scores via API to property platforms. Beautiful Places AI offers an analogous neighbourhood-beauty scoring API aimed at the same property-platform buyer base.
• SafeGraph: SafeGraph (now part of Databricks) licensed curated POI and geospatial data to enterprise analytics and real estate customers via API — directly comparable to Beautiful Places AI's POI and Neighbourhood Beauty Ratings API products.

Emerging players

• HouseCanary: HouseCanary provides AI-driven property data, valuations, and analytics to real estate enterprises via API. It overlaps with Beautiful Places AI's property-tech buyer segment and API delivery model, but focuses on valuation rather than aesthetics.

Broad incumbents

• Google Maps Platform: Google Maps Platform licenses global POI, places, and imagery APIs to enterprise developers at massive scale. It is the incumbent benchmark Beautiful Places AI must differentiate against on beauty scoring depth and curated POI quality.
• Zillow: Zillow operates a broad property data platform with its own neighbourhood, POI, and imagery layers. It is the largest incumbent that Beautiful Places AI's beauty and POI APIs would have to integrate alongside rather than displace.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• LinkedInlinkedin.com/company/beautifulplacesai

Revenue estimate

Valuation estimate

Number of profiles

Profiles6 records

Subsidiaries1 record

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Beautiful Places AI