AI & data standards
Infrastructure data, built for public trust.
CYVL captures roads, sidewalks, and public assets. Faces and license plates are blurred before delivery, and customer outputs contain condition data, inventories, and geospatial layers.
Trust & data privacy
Built for infrastructure, with clear privacy limits.
Faces and license plates are blurred before delivery. CYVL models focus on public assets and condition, with no biometric identifiers or owner-record lookups.
Identifiers are removed
Faces and license plates are blurred before imagery reaches the customer platform.
Models focus on public assets
CYVL models identify infrastructure condition and assets without biometric templates or owner-record lookups.
Cities can adopt the standard
The Municipal Infrastructure Data Privacy Standard can be added directly to procurement requirements.
The standard
The Municipal Infrastructure Data Privacy Standard.
Five requirements cities can use when evaluating any vendor that collects roadway imagery.
The five commitments
Faces and license plates are blurred before delivery.
The process runs before imagery enters the customer platform or any deliverable.
License plates are not matched to owner records.
CYVL does not connect plate numbers to motor vehicle databases.
Captured imagery is not used to create biometric identifiers.
No facial-recognition templates, gait analysis, or similar identifiers are derived.
Customer deliverables contain infrastructure data.
Outputs include condition data, asset inventories, and geospatial layers.
Collection follows the federal Driver's Privacy Protection Act.
DPPA requirements are built into the system architecture and operating process.
Why this matters
Roadway imagery can reveal the condition of pavement, signs, sidewalks, and other public assets without preserving identifying details about residents.
CYVL meets all five commitments today. Cities can use this language in procurement to set the same expectations for any infrastructure-data vendor.
American-made
Built in America, end to end.
CYVL's sensors, cloud infrastructure, and engineering operations are U.S.-based. Its LiDAR and cameras are approved for U.S. government use.
The American supply chain
Sensors built and assembled in the United States.
CYVL sensor rigs are produced domestically.
LiDAR and cameras approved for U.S. government use.
Field hardware meets the requirements CYVL serves in government deployments.
On-device software developed in the United States.
CYVL develops the software that runs on each sensor.
Data stored on U.S.-based cloud infrastructure.
Customer captures are uploaded to cloud infrastructure located in the United States.
Engineering operations based in Boston, Massachusetts.
CYVL's hardware and software teams work from the Boston area.
Why this matters
A U.S.-based supply chain gives agencies a clearer answer on hardware provenance, data residency, support, and long-term accountability.