Mantanesia

About us

Accelerate Your Asset Management

Manta.nesia is a company focused on digital-based infrastructure asset condition data management, as well as technology development and the utilization of Artificial Intelligence, creating an ecosystem for infrastructure asset condition inspections that is efficient and responsive.

Why Manta.nesia?

Integrated Ecosystem

Service and products that are integrated with each other to maximize performance and enhance the quality of results.

Managing Data Based on Digital Platform

Unlock new potential that was previously unattainable, increasing efficiency, and creating significant added value.

Artificial Intelligence

Unlock new potential that was previously unattainable, increasing efficiency, and creating significant added value.

Competitive Price

Prices can be adjusted according to customer needs, and various packages are available.

Market Solution

Road Condition Survey & Analysis

Empowering Road Management Through Digital Precision

Road Condition Survey. is a process of collecting data and information about the physical and functional condition of roads to support the planning, programming, and management of the road network. This process is essential to ensure that roads continue to meet the expected level of service and support the mobility and safety of road users.

Digital-Based Asset Data Management

Centralized Data for Infrastructure Optimization

Digital asset data management. is an approach to managing asset data using digital technology to effectively collect, store, analyze, and utilize data. This approach is designed to enhance efficiency, accuracy,transparency, and decision-making in the management of infrastructure assets, such as roads, bridge, building or other public facilities.

Monitoring Bridges for Sustainable Mobility

Bridge Condition Survey. is an activity aimed at collecting technical data related to the physical and functional condition of a bridge to support the planning, programming, and implementation of maintenance or rehabilitation. This Survey is part of road infrastructure asset management to ensure that the service level of the bridge meets safety standards and user comfort requirements.

Traffic Counting & Analysis

Revolutionizing Traffic Counting

AI-Based Traffic Counting Surveys. involve the use of artificial intelligence (AI) technology to count and analyze the volume of vehicles passing through roads or specific locations. By using advanced cameras or sensors equipped with AI algorithms, this system can automatically detect, classify, and count vehicles without requiring direct human supervision.

Manta.Finder

is a application designed to facilitate road condition surveys using the PCI (Pavement Condition Index) and IRI (International Roughness Index) method, and road inventory. This application aims to provide an efficient solution for collecting road condition data accurately and in a structured manner, which is essential for authorities such as public works departements or related agencies in road maintenance and planning.

Manta.Center

is a application designed as a data center to store and manage survey data related to the condition of infrastructure assets. It serves as a centralized repository for collected data from various surveys, particularly those focused on road conditions and other infrastructure elements. additionally, Manta.Center features a built-in analysis dashboard to help users visualize, analyze, and interpret the data effectively.

Manta.Measure

is a tool designed to efficiently and accurately survey road conditions using the IRI (International Roughness Index) and PCI (Pavement Condition Index) method. This tool integrates various technologies such as GPS, DMI (Distance Measuring Instrument), IRI Sensor, and camera, enabling Manta.Measure to provide precise and comprehensive data on road surface conditions.

Manta.Art-I

Manta.Art-I is an Artificial Intelligence (AI)-Based application designed to assist in the management, monitoring, and maintenance planning of infrastructure assets more quickly, accurately, and efficiently. By leveraging AI technology, this application can analyze large volumes of data, identify potential damage earlier, and provide optimal maintenance action recommendations.