Signals arrive through many routes
Resident reports, field inspections, and scheduled routes can surface different parts of the same street picture.
Urban intelligence platform
City signals. Clear decisions. Visible action.
IntelCit helps municipal operations teams turn street images, video, and location data into reviewable observations, clearer priorities, and practical next steps — before issues become public complaints.
Built for public works, municipal operations, and city service teams.
What IntelCit actually gives a city team
- Five registry-driven services
- Evidence linked to its source
- A human decides every output
- Bilingual, with real right-to-left
Reactive upkeep is hard to compare and defend
City teams often receive street conditions through different routes and at different times, leaving evidence hard to compare and priorities hard to explain.
Inconsistent evidence
Manual inspections vary by person, route, and day, so results are difficult to compare or defend.
Hard to prioritize
Without a measurable, shared record of street conditions, teams compare inconsistent notes and struggle to explain why one location comes first.
One operational loop, end to end
IntelCit follows a single repeatable path from a street observation to a reported municipal action — every step reviewable, the decision always human.
Capture
Bring in street conditions from uploaded photos, fixed-camera snapshots, and GPS-tagged field video.
Detect
A connected service turns each capture into explainable counts, condition classes, or candidate events, with confidence shown where supported.
Review
Results stay linked to their source so a person can confirm, adjust, or reject what the service returned.
Prioritize
Consistent scoring shows which locations a team may want to look at first, across routes and over time.
Act & Report
Teams record the action they chose and keep a defensible history to show what was done and why.
Solutions for every city team
The same platform is tuned to how public works, parks, inspection, and leadership already work.
Public Works
Litter counts and street-cleanliness grades that help crews plan and defend cleanup routes.
Parks & Urban Forestry
Lawn-condition classes and tree-pruning candidates to triage green-space maintenance.
Inspection & Review
Candidate events and conditions prepared for a person to review — never an automatic decision.
Leadership & GIS
Trends across routes and time to focus attention and explain priorities with shared evidence.
Current IntelCit services
Five public service entries cover different municipal tasks, each with its own evidence and known boundaries.
An illustrative view of daily operations
This generated interface example shows how reviewed results could be grouped. It is not a live customer dashboard or operational metric.
Operations overview
128
Street segments reviewed
3.2 / 4
Example internal CAI (1 nearly clean, 4 very dirty)
17
Open cleanup actions
- Example segment EX-014 — litter cleared Clean
- Example segment EX-027 — litter accumulating Attention
- Example segment EX-038 — cleanup recommended Urgent
Illustrative interface preview — not live operational metrics.
Grounded in a clear evidence method
IntelCit uses a public vocabulary that separates observation, inference, and human confirmation. The Science & Evidence page summarizes the evidence currently documented for each service.
Observation
What is directly visible in the image or video.
Inference
What a model or workflow proposes from the observation, always with uncertainty.
Confirmation
What a person decides after review. The system never confirms itself.
Possible litter detected · 87% model confidence — an illustrative interface example, not a validated performance metric.
Responsible by design
A platform for public institutions has to be dependable in more than its analysis.
People decide
IntelCit recommends and explains; your team reviews, prioritizes, and decides what happens on the street. No output is an enforcement action.
Honest labels
This release labels generated samples and example outputs and does not present them as validated performance or customer results.
Accessibility by design
Designed toward WCAG 2.2 AA: keyboard access, visible focus, adequate touch targets, and status that never relies on color alone.
Two languages, real RTL
English and Persian ship from the same platform, with a true right-to-left layout — not a mirrored afterthought.
See IntelCit with your own streets
See the connected service flow from input to visible response with a guided session for municipal operations teams, investors, and partners.