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Tremendous amount of construction data are unused!!!

We build digital tools to enabling making data-driven decisions from the data you already have!

Our Services

AuDViCES is focused in helping clients to collect, store, process, and utilize digital data for their business decisions!

Automation

Focus on More Important Tasks!

Digital automation technologies have advanced significantly over last several decades. Many tasks that required manul efforts can now be automated if proper automation tools are developed. When equiped with the automation tools, engineers can focus on making important decisions rather than doing repetitive tasks.

Data Analytics

Put Your Data to Work!

Data analytics enables companies to get meaningful and actionable insights from small and big data. AuDViCES will develop customized and easy to use applications to mine your data to extract useful information without any need to learn and built advanced data mining models from scratch.

Visualization

See Your Data!

Human brain have a limited ability to visualize a tabular and textual data without aid of external tools. Advanced techniques such as spatial data visualization can aid in communication large amount of information in visual formats that is easy to comprehend.

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Project Highlight

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Clients

About

Many industries have moved towards collecting, analyzing, and utilizing enormous amount of data, but the construction industry is still lagging. Although, the industry has started to collect digital datasets, it is lacking the expertise to develop and automate the methodologies to analyze such data and communicate the results visually. AuDViCES envisions to overcome this challenge by developing innovative automated solutions to aid in making construction decisions related to cost estimating, scheduling, and construction market analysis.

AuDViCES will serve clients by developing digital assets including tools and methodologies to:

Automate existing decision making processes that currently require a significant manual effort.
Collect various datasets that are required for various decision making processes.
Analyze existing and newly collected datasets.
Automate the existing and newly developed methodologies.
Visually communicate insights obtained from analysis.