Houman Damangir 20% ownership (CEO)
Shahram Laleh 20% ownership (COO)
Reza Damangir 20% ownership (CTO)
Shahram Mahmoudzadeh Hashtroudi 20% ownership (CQO)
Hadi Dadpoor 20% ownership (CPO)
Using Machine Learning (ML) and Artificial Intelligence (AI) to estimate any complex construction project anywhere in the world at any time of the day. Creation competitive advantage in using ML and AI is in removing any subjectivity in inputting cost parameters using the conventional software packages.
The main goal of Civil Costimator Business is development a product with competitive advantage in the use of artificial intelligence and machine learning to provide a cost estimate, complete Return on Investment (ROI) software solution to clients where they can quickly determine if the ROI on a project meets their business guidelines before starting. The use of advanced technology improves quality, creates higher accuracy and faster result all of which reduce the overall cost of providing an estimate. Ease of use, availability and portability of the software (anywhere and anytime) add to the convenience and minimize the opportunity cost to the investors and the developers. This product should be easily scalable and can be made to adapt to anywhere in the world. Our product is futuristic and uses technology to avoid obsolescence. Accuracy of the results, and time to an answer are the major advantages which Civil Costimator product intents to reach out them.
Business Plan Overview:
The existing construction jobs estimating software solutions do not use a machine learning approach; therefore, they are not that precise. For solving the problems mentioned in the previous sections, Civil Costimator will develop an automated cost estimation software. This system can get the project feature values from the user and automatically return the predicted cost. Contractors and investors will use this software to estimate the cost of the projects. This software solution enables them to compare among many Civil Costimator Business Plan 14 investment opportunity alternatives instantly and cheaply. The software can adapt and update its algorithm by market changes. Investors and contractors can use it on their smartphones and PCs.Civil Costimator approach is to use Machine Learning (ML) Techniques for project cost estimation. A dataset from past projects has been collected and prepared and their corresponding costs as an input to our Artificial Intelligence (AI) based software solution. Then, a large portion of the dataset will be used to train a Machine Learning algorithm such as Artificial Neural Network (ANN). We used the smaller portion of the dataset to validate and to verify the error margin of the developed ANN to predict an accurate cost. We apply the learning and the verification enough times until an acceptable error margin is achieved. Subsequently, the ANN can be used as a commercially available product to predict the cost of future construction projects within a few seconds.Civil Costimator will offer a product for PC and Mac platforms (Windows and IOS) as well as smartphone platforms (IOS and Android). We will develop User Interfaces (UI) for various use cases of the application software as well as a web interface for continuous updating of the information. The ANN is placed in a cloud server for ease of access. The user prediction requests are managed by the ANN in the cloud server and the results are sent back to the UI.Therefore, we address the challenges of existing solutions. Our software uses past project data to train the ANN to predict the current project cost. Therefore, it is far more accurate than human experts. Once set up properly for a region, the SW can be used by all in that region without needing much additional input. Hence, our software will save a great deal of time in the estimating process. Our software solution also provides a better estimating service to the clients at a fraction of the price of the human experts using the existing software solutions. The software is available 24/7 from every place since its core technology is in a cloud server and can be accessed via smartphone.
Investors and construction companies will use Civil Costimator software solutions to evaluate multiple projects quickly and to decide which ones will generate the highest profit margin for them. Since this product is available 24x7 and via smartphone, unnecessary delays of going back to the office or relying on the “experts” to provide a cost estimate after a long period are eliminated. The investors can make decisions rapidly based on Machine Learning outbidding and outperforming the competition. Overall, Our customers are project managers, developers, investors, and general contractors – in brief, these are the entities that need to have a construction job estimate done quickly and accurately. Our ideal customers are those who work on big and complex projects where cost estimation is not easy because, in such projects, human experts and existing software solutions in the market usually will not offer an accurate estimation.
To be the predominant construction assessment software provider and to be recognized as the leading SaaS (Software as a Service) developer with a product that is accurate, speedy, and has an extremely friendly user interface to help investors and developers to make profitable financial decisions.
We will use computer learning algorithms in combination with artificial neural networks to accurately determine the construction cost and selling price of any type of building or structure anywhere in the world 24x7. We will do so by making our construction cost and price estimating software cloud-based and user-friendly to work with computers and smart mobile devices. We want to be known as the company that supports the investors and the developers in their financial decisions by providing timely and accurate data whenever they need it.
We intend to generate revenue from the use of our software package either in the form of a monthly subscription or per-use payment. To capture customers, we will develop a few datasets initially in certain key regions. However, we intend to charge a non-refundable fee to create a dataset for regions that certain clients want to study to start various developments. A client can purchase monthly subscriptions with no limit on the number of uses or can pay-per-use. A client can opt in to use only the construction cost estimator, the selling price estimator, or both. We will charge a monthly subscription fee per region with unlimited use for our subscribers.