Volume 01 · The City, Legibly.

Understand your city the way people live it.

GUS is the AI platform city teams use to ask any question about their city and get a clear answer back. Social, spatial and economic signals fused on one neighbourhood grid, written up in plain language, every claim cited to its source.

P. 01Continue reading
PLATE ISatisfaction, in hexagons
GUS Atlas satisfaction map — neighbourhoods as a hex grid coloured by satisfaction score, red to green
Fig. 01GUS Atlas. City satisfaction rendered on a single hex neighbourhood grid, quantile-scaled red to green. Source: GUS / Atlas.
Globaldeployments
500M+people · covered by engagements
81+indicators · liveability · satisfaction · activity
1M+enriched observations · cited at source
EN · AR20+ Arabic dialects
01The platform

GUS. One source of truth for every city question.

Ask in plain language. Map the city across eight views. Build a brief, capture what the map alone cannot see. Every tool inside GUS reads from the same enriched dataset, so satisfaction, demographics, economics and your own documents always agree. Two people, two questions, one consistent answer.

02Tools inside GUS

GUS, a platform of tools, built for the work city teams actually do.

One enriched dataset. One shared neighbourhood grid. The same citations behind every answer.

01 / 09
Chat

GUS Chat

Ask the city anything in any language. A horizontal data agent picks the path, chains the lookups, writes a cited answer. Interactive map, chart, table — appended below the narrative when the answer needs them. Live narration while it works.

Open tool Click any citation
02 / 09
Atlas

Socio-Economic Atlas

Your city in eight views. Insights, satisfaction, community, pulse, urban intelligence, spatial economics, vulnerability, plus an AI assistant that follows you across every one. Every view on the same neighbourhood grid, so they always agree.

Open tool 8 views, one chat
03 / 09
Map

GUS Map

A full GIS workspace, paired with an AI Map Assistant pinned bottom-right. Build layers by hand or just ask — "filter to top 25% by floor area then recolour with a teal ramp". Every change undoable.

Open tool Hand or AI · same canvas
04 / 09
Consult

GUS Consult

State a planning goal in plain English. GUS finds the relevant documents in your library, asks a short chip brief, shows an editable plan card. Approve it. Get a structured, sourced report. Refine in plain language. PDF, Word, PowerPoint.

Open tool Goal in · sourced report out
05 / 09
Data

Data Management

Bring your own data in. Spatial files, tabular data, documents, imagery. Drop them in, tag them, and they are ready for every tool to use.

Open tool Any format
06 / 09
Field

GUS Fieldnotes

Tell a story with the map. Write each scene by hand or generate the whole sequence from a topic. The map flies between locations as readers scroll. Publish as a scroll, a slideshow, a PDF, or a public link in one click.

Open tool One-click share
07 / 09
SQUID

GUS SQUID

Our Site Qualification and Urban Investment Discovery tool. Click a location, pick a business type, get a 0 to 100 suitability score backed by population, activity, competitors and resident satisfaction. The brief writes itself, ready for the IC pack.

Open tool 0 to 100 · 4 signals · IC-ready brief
08 / 09
DAT

GUS DAT

Our Development Assessment Tool. Pin a plot, pull its regulations, run a five-stage assessment from site to compliance to impact, and ship a Development Control Report your committee can sign. Two operating modes, one audit trail.

Open tool 5 stages · DCR export · pre-app + review
09 / 09
Plan

GUS Plan Assessment

Our strategic plan evaluation tool. Upload a development plan, score it across land, people, movement and policy fit, and export a cited brief with AI-drafted policy recommendations. Multi-criteria suitability for the teams that have to approve the city's next move.

Open tool 4 lenses · 0 to 100 · policy brief
03How it works

One read on your city. Every signal counted.

GUS does not sit on top of public data and call it intelligence. Underneath the platform, three SilaCities-built engines each read a different slice of the city, all fused against the same neighbourhood grid. So a satisfaction gap, a footfall pattern and a physical condition for the same district are always read together. This is the part competitors cannot recreate.

01 / Social Atlas
How residents experience the city
Arabic-native sentiment across 20+ dialects. 81+ liveability indicators at neighbourhood level. A dual-layer classification covering 15 service domains for operations teams and 11 SDG-aligned categories for policymakers. Validated against face-to-face surveys at 84%+ correlation. Processing 1,500 to 3,000 feedback items per minute.
02 / Urban Pulse
How the city moves
Footfall, visitor flows, dwell times, seasonal patterns. Real-time feeds fused to the same neighbourhood grid, so every other layer reads against them. The 24-hour rhythm of the city, on tap.
03 / Urban Spaces
How public places actually perform
Computer vision on imagery for physical condition. NLP for how residents describe a place. ML clustering for typologies, amenity gaps and design recommendations grounded in how spaces behave, instead of how they were drawn on a plan.
Atlas Insights view, with city-wide SWOT, recommendations and resilience
PLATE II · Fig. 02Atlas Insights, the SWOT view across the city. Source: GUS / Atlas.
04In use

Evidence you can stand behind in a meeting, a boardroom or a pitch.

Every claim cited to a source and a date. Every export traceable back to the row it came from. Same artefact whether it lands in front of a planning committee, an investor, or a client.

Cited at source100%Inline citation on every claim
Diagnosis cycle11 wks → 1 dayRepresentative deployment
Export formatsPDF · Word · PPTBrief lands in the room ready
LanguagesAny · native AR20+ Arabic dialects, RTL day one
06Fieldwork

Selected fieldwork. The questions cities brought to GUS.

DeliveredRome Municipality

A vision for Rome. A city planned around how its citizens live.

Dual-layer satisfaction framework deployed across Rome, mapping how Romans actually experience services and public space. In association with Arcadis Consortium.

15
service domains scored 0–10
11
SDG-aligned categories
DeliveredRCRC · Riyadh

The New Riyadh Plan. Community intelligence for one of the world's most ambitious transformations.

Full-spectrum sentiment and liveability analysis across every district of Riyadh. In association with AtkinsRéalis.

4.5M
data points studied
81
subtopics, district-level
Musaffah regenerationAbu Dhabi · DMT
20%
of Abu Dhabi's GDP mapped · 189K workers profiled
DeliveredDMT Abu Dhabi

The industrial revolution. Reimagining one of the UAE's largest industrial zones.

Spatial GDP modelling, employment profiling and sentiment mapping revealed a district underserved by its own growth. In association with Meinhardt.

189K
workers profiled
20%
of AD's GDP mapped
Flexible working impactsDubai · RTA
Unintended
Mobility, congestion & urban performance, citywide
DeliveredRTA Dubai

Unintended consequences. The impact of flexible work on the city nobody asked about.

Real-time traffic, land use and behavioural data mapped how shifting work patterns were reshaping spatial demand across Dubai. In association with AtkinsRéalis.

City
-scale behavioural analysis
Live
traffic and mobility feeds
Central Riyadh regenerationCADC · Riyadh
1,500ha
Social Atlas · 100K+ posts · 10K+ tagged places
DeliveredCADC

Regenerating Riyadh. A Social Atlas of the historic centre.

Employment clusters, sentiment by district, activity by time-of-day and user demographics across five Action Areas and three Key Sites. In association with Schiattarella Associati & GEHL.

100K+
social posts analysed
10K+
tagged places profiled
Reem Island liveabilityMODON · Abu Dhabi
Day & night
Behavioural + sentiment-led island diagnostic
DeliveredMODON

An island understood. How Reem and Maryah actually function.

Movement patterns, visitor experience and worker activity revealed gaps in after-hours vibrancy and strategies to activate mixed-use potential.

2
islands, fully profiled
24h
activity patterns mapped
A published GUS Fieldnote, scrollytelling narrative with live map alongside
PLATE IV · Fig. 04A published GUS Fieldnote, narrative on the left, live city data on the right. Source: GUS / Fieldnotes.
07Work with us

Bring us a question about your city. We'll bring the evidence.

Most engagements begin with a two-hour working session around a question your team is already wrestling with. By the end, you'll see your city inside GUS with your data layered in. Subscription, full deployment, or consulting engagement, we scope it to match.

Direct line · Platform team

Contact the GUS team

No gatekeeping, no lead form. You'll reach the people who will actually run the session.

Phone
+971 4 355 3656
HQ
Dubai, UAE
Platform
GUS · AI urban intelligence
Languages
Any, native Arabic