Catanova is a technological solution designed for public administration
The platform helps municipalities and provincial councils improve the efficiency of urban inspections through the use of high-quality satellite imagery and orthophotos
/ Mission
To help build safer, more sustainable, and efficiently managed territories through the use of satellite technology, data analytics, and artificial intelligence.
/ Vision
To become a strategic reference for our clients in urban detection and control, promoting data-driven decision-making based on reliable and verified information.
/ Values
INNOVATION: We apply satellite technology, advanced data analytics, and artificial intelligence to transform urban management and support more efficient, objective, and data-driven decision-making.
COLLABORATION: We work closely with municipalities and public administrations, supporting the entire process, reducing operational burden, and providing key information that enables teams to focus on strategic territorial management.
PRECISION: Our assessments are based on verified data and rigorous measurements, ensuring reliable analyses that support safe and sustainable decisions over time.
TRUST: We combine verified data and solid methodologies with close, expert support, building relationships based on trust and consistent long-term results.
Objectively detect irregularities, strengthen security, and optimize territorial management.
Many municipalities lack up-to-date information about their territory
With Catanova, they can automatically detect discrepancies, save time, and optimize public resources by prioritizing actions with the greatest economic and operational impact.
We identify unregistered or incorrectly declared constructions, facilitating cadastral regularizations and the recovery of pending taxes. A measurable and sustainable economic impact, without increasing the tax burden.
At Catanova, Artificial Intelligence is used as a support tool for analysis and decision-making
Through advanced data analytics models, the solution processes large volumes of satellite and urban information to identify patterns and detect discrepancies objectively and efficiently, progressively improving the model through training with new data.
/ Methodology
