London's first living intelligence

We monitor 100s of live data streams across transport, energy, air quality, satellite imagery, and financial markets, discovering cross-domain patterns no single agency can see.

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Recent signals Live
Energy × Social

London’s collective mood predicts grid demand 6 hours ahead, r = 0.92

Ecology × Property

Fox population decline + new cafe filings predict gentrification 6–12 months early

Social media surge + traffic anomalies predicted protest location and size 48 hrs ahead

100+sources
12agents
375+correlations

Data

Connected to the city

Transport for London National Grid ESO Environment Agency Met Office UKHSA UK Parliament Thames Water Metropolitan Police HM Land Registry UK Power Networks Port of London Authority London Air Quality Network Breathe London
TfL JamCam TfL Bus Countdown TfL Crowding TfL Cycle Hire TfL Road Disruptions TfL Planned Works TfL Station Assets TfL Passenger Counts TfL Bus Congestion TfL Accessibility Grid Demand Grid Frequency Grid Generation Mix Elexon BMRS Elexon Balancing Electricity Prices Embedded Generation Carbon Intensity Met Office Warnings Met Office Visibility Open-Meteo NHS Syndromic Surveillance Hansard Parliament Calendar Parliament Petitions London Assembly GLA Press GLA Events Thames Water EDM Police Crimes Police Stop & Search UKPN Substations UKPN Streetworks PLA Tides NCSC Cyber Alerts Historic England Planning Data Street Manager Court Judgments OpenAQ PurpleAir Sensor.Community OpenSenseMap Google Air Quality Sentinel-2 Satellite Sentinel-5P Satellite OpenSky ADS-B National Rail Network Rail Trust Bus Open Data (BODS) TomTom Traffic Waze Traffic HERE Traffic Cloudflare Radar RIPE Atlas IXP Traffic GDELT Events GDELT Discourse Guardian Headlines BBC London News UK Headlines RNS Announcements Event Registry Bluesky Social Mastodon Social Social Sentiment Social Topics BT Footfall Crowd Density Commodities Retail Spending FixMyStreet Ticketmaster Events Skiddle Events Sporting Events TV Schedule Flickr Geo Media Open Plaques V&A Museum Windy Webcams Rideshare Demand Micromobility Smart Energy Industrial Action Union Feeds Worker Sentiment Rail Forums Gov Press Releases Gov Notices ACLED Protests Corporate HQ Data

100+ sources and counting

Discoveries

Signals in the noise

Real findings discovered autonomously by cross-referencing London's data streams.

Energy × Social

London’s Mood Predicts Its Energy Demand

The city’s collective social sentiment is a statistically significant leading indicator of National Grid electricity demand. When Londoners feel good, they consume more energy: shared cultural moments, mass kettle-boiling, grid spikes.

r = 0.92 · p < 0.000001 · 1–6 hr lead
Ecology × Property

The Gentrification Pulse

Fused Companies House filings (new cafes) with iNaturalist ecological data: fewer urban foxes, more ornamental birds. Predicts neighbourhood transformation 6–12 months before real estate models catch on.

6–12 month lead · ecological + commercial signals

Predicting Protest Before It Happens

Cross-referencing social media sentiment spikes with real-time traffic anomalies to predict where the next protest will emerge and its likely size, hours before crowds physically gather.

48 hr lead · location + size prediction
Transport × Economy

Work-From-Home Friday

TfL sensors show Canary Wharf at 9% capacity, Bank at 37%, while railways restore pre-COVID Friday frequencies. The system flagged a strategic capital mismatch: billions invested in capacity nobody uses, declaring WFH Friday a permanent feature of economic geography.

9% Canary Wharf · 37% Bank · structural shift
Energy × Markets

The Grid’s Tell

National Grid shifts to gas caused Polymarket Net Zero contracts to drop within hours. Uncovered a real-time shadow referendum on climate policy, priced minute-by-minute from energy data.

Energy → prediction markets · hours lag
Behaviour × Property

The Helmet-House Price Index

Computer vision models count cyclist helmet-wearing rates across boroughs via TfL CCTV feeds. Higher helmet rates strongly correlate with higher property values and lower crime, turning bike safety into an accidental socioeconomic indicator.

CCTV vision analysis · borough-level correlation

How it works

A nervous system for the city

Hundreds of data streams flow through a network of specialised AI agents that cross-reference domains and surface patterns no single source could reveal.

Data streams Transport Energy Satellite Weather Environment Social Financial Agent network Brain Interpreter Connector Explorer Discoveries Energy × Social Sensor failures Traffic cascade

Foveal attention

Inspired by the human eye, the system allocates processing power dynamically. Areas with clustering anomalies become the fovea, receiving dense, high-frequency analysis. The rest of London stays in peripheral vision across 4,000+ grid cells.

Fovea Perifovea Peripheral
500mgrid cells
12AI agents
375+correlations found
4,000+ grid cells / 100+ data sources / Greater London

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