01For investors
Building physical AI for cities.
Civimatica builds AI models for urban space and the physical AI underneath them: our own sensing devices, measured datasets, and a real-street test environment where companies train and validate their own models. Privacy by design, from the edge.
02The thesis
Three beliefs the company is built on.
Cities generate real-time information at street level: kerb use, flow, movement, that almost nobody actually measures. AI built for urban space is trained on estimates, not evidence.
Autonomy for delivery robots and vehicles has largely exhausted what simulation can teach. The remaining gap is validation against real, messy, unpredictable streets, not another synthetic environment.
European privacy regulation is tightening the requirements for any system operating in public space. Rather than treat this as a constraint to work around, we designed Civimatica from the edge to never collect personal data in the first place, which we believe makes deployment easier, not harder.
03The opportunity
Three shifts converging on the same street.
AI is going physical
Models are leaving the data centre for streets, robots and vehicles, and physical AI needs measured, real-world data that almost nobody produces.
Autonomy needs real streets
Delivery robots and autonomous vehicles need instrumented, repeatable real-world environments to validate behaviour before wider deployment, not just more simulated miles.
Privacy as a moat
Deploying sensing infrastructure in EU public space increasingly requires systems that minimise data collection by design. That requirement favours architectures built this way from the start.
04What we build
One physical AI stack, four offerings.
Model access
Civimatica Models
Ready-to-use urban AI trained on streets we measure ourselves; customers consume the outputs without building the stack.
Street answers
Civimatica API
Devices measure, models interpret, and your systems receive results like parking availability, damage and occupancy.
Test your models
Civimatica Sandbox
A test space filled with model-derived street-state data, so teams validate their own models before the real world.
Physical AI
Civimatica Devices
Edge hardware with our models already running on it, the layer that makes the street measurable.
05Why Civimatica
Four differentiators.
- 01
Privacy-by-design from the edge: a property of the hardware and pipeline, not a policy added afterward.
- 02
Own sensing hardware: we are not reselling or re-packaging third-party data feeds.
- 03
Physical and digital together: a real-street test environment, not a simulation-only offering.
- 04
European by construction: built and operated inside EU regulatory reality from day one.
06Why now
Three timing signals.
- 01
Physical AI is the next deployment surface
Models are moving from screens into streets, robots and vehicles faster than real-world training and validation infrastructure can follow.
- 02
Autonomy is exhausting simulation
Teams building delivery robots and vehicles are reaching the limits of what synthetic environments can validate.
- 03
EU privacy pressure is becoming a deployment requirement
Data-minimising design is moving from a compliance checkbox to a precondition for operating in public space.
07Company
Registered details.
- Company name
- CIVIMATICA S.R.L.
- Registered office
- Corso Castelfidardo 30/A, 10129 Torino (TO), Italy
- VAT number
- IT13426880012
- Tax code (Codice Fiscale)
- 13426880012
- REA
- 1362366
- Contact
- hello@civimatica.com
Civimatica is a pre-deployment startup. We are preparing to apply to accelerator programs, including Y Combinator.
Let's talk.
If you invest in early, real-world infrastructure for physical AI and urban autonomy, we would like to show you what we are building.