Welcome To
BIMCO
Business Intelligence &
Management in Construction
We deliver smart and intelligent services for business. We are mainly focused on construction industry, but our area of services is much more comprehensive.
About
Business Intelligence andManagement in Construction
BIMCO is a company born of the rapidly growing opportunities of new technologies. Our mission is to design and implement innovative techniques in the real estate and construction business. Advanced and expanded automation in construction is inevitable. It can be powerful remedy for emerging needs and challenges in any business nowadays.
During last years we acquired an extensive experience and know-how in all the processes that the real estate investment requires – from the idea until delivery and post sale service. Our mission is to provide support services in the various stages of the investment process in the real estate market and offer our clients and investors the best results. Our professionals have different backgrounds and experiences, including architecture, engineering, construction, investment and real estate project management which together ensures an effective team for a relevant and appropriate advice. It is our passion for finding most sufficent solution for every challenge our clients face during the investment or any other process.
Our Services
Project Management
BIMCO is able to identify the best market opportunities for short, medium or long term investment. We believe that to have a safe and solid investment, the first step is to buy well. That is where starts the success of the project and the run for a good return. We act locally always in collaboration with national and international real estate having a vast network of global contacts, which ensures the investment of customers a solid platform. With our network of contacts, experience and determination, we aim to save our customers time, energy and money involved in contacts with the different agents and getting a positive trading adjusted to the values accepted by the parameters established for a good investment.
Number of completed projects
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Designed area (m2)
Architecture, Engineering & Construction Design
Architecture of the New
As in all design work – we start by listening. Listening to clients, we learn to see the project from their point of view. Our process is one of creating a unique solution that is tailor-made to the vision we co-create and adhere to throughout the project. We listen to what the client needs, what they value, what they see on the site and what the rough budget is to get it done.
Then we discuss how we can create something unique and fitting for their needs at the site, share what images or styles they value (we look at pictures!) and a timeline for completion.
Next we analyze the site - the context of natural features - trees, water, land forms or surrounding structures, access and parking, then of sun, prevailing breezes, views, noise, privacy and other environmental factors. We then sketch and communicate a variety of design concepts to see how and what solutions might fit. Finally the best fitting design is "fleshed out" with material details and technical specifications to create a lasting, efficient and healthy building.Design is only the first stage of a process - ultimately clients desire much more than a set of plans -- they want a finished project! Our job is not complete until we put the right building team together and collaborate with them to the final inspection.
Remodeling
Remodeling is a different kind of work for an architect and the design team. It requires careful observation of the existing conditions and an ability to transform what is — into a new environment that seems as though it was always there.
With the first visit to a site, careful observations begin - along with the listening and setting of project goals - including budget and timing. As-Built plans are made from careful measurements and photographs. The process of schematic design begins as we address the stated needs and wants of our client with a series of sketch plans, elevations sections and if necessary perspective sketch views. Innovation and invention is a natural part of our design work. We work hard to fully understand the design "problem" so we know when we find the right design "solution". Especially in remodel, the problem solving and creative juices need to keep flowing throughout the project so the final product is the best it can be.
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Number of designed apartments
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Designed area (m2)
Data Mining and Machine Learning
An Overview of Data Mining and Artificial Intelligence services
Data mining is not a one-time practice; it’s a function – a continuous progression of discovery and interpretation. It’s a process that figures out new and purposeful patterns in your compiled data, patterns you can utilize to deal with complex business questions that need foresight and inference. And it’s a process that calls for a distinct set of abilities and assets. Data mining can assist analysts make well-informed decisions and choosing the best data mining company will surely have an instant effect on the prosperity of your business. Luckily, we at Cogneesol provide self-service data analytics to niche analysts that facilitate them all through the data mining process.
Real estate is a thriving business field nowadays. People who are in this business will definitely agree with the fact that their offices often get flooded on an everyday basis with data generated from legal documents, property valuation statements, sales and commission information, adding latest properties non-commercial or commercial for sale or rent as well as updating the database on a regular basis, along with several additional real estate relevant documents. This data has to be processed in the right way so as to assist you in your business procedures.
We are aware that carrying out the complete real estate data entry and processing tasks in-house can certainly drift you away from your primary functions. Therefore, we assure to take away your stress about looking after these real estate related day-to-day chores.
We are experts in offering a vast range of data entry services. Our data entry solutions focus on a number of innovative factors that fulfil all business data management goals; presenting quick results at economical prices and data accuracy, across a number of industrial verticals.
Companies with a strong interest in customers, like those from real estate sector can have strong and measurable profit increases from our data mining service. We can correlate factors like customer demographics, competition, economic indicators etc. with staff skills, product positioning, price and other internal factors through data mining. BIMCO data mining services can also help you determine the effect these factors can have on your bottom line, customer satisfaction and sales. Association, regression, clustering & classification, artificial neural networks are among the standard practices and techniques we use. Our team can handle data sets of any volume and size. Using cutting-edge tools and with well-defined processes, we can even access data that cannot be reached through leading search engines.
DATA MINING PROCESS BUSINESS INTELLIGENCE
OUR DATA MINING SERVICES
- Analysis, Capturing and Interpretation of Data
- Data Mining for Customer Segmentation
- Competitor growth analysis and tracking
- Financial Data Mining
- Web Data Mining
- Excel Data Mining
- Data Extraction Services
- Market Trend Monitoring
- Service, Product and Brand Feedback Search
- Stock Market Data Mining
- Data Mining for Fraud Detection
Fraud Detection
Fraud detection with Machine Learning and Artificial Intelligence
Here’s a brief definition of what we’re talking about, since even the terms machine learning and AI are subject to misuse.
Machine learning refers to analytic techniques that “learn” patterns in datasets without being guided by a human analyst. AI refers to the broader application of specific kinds of analytics to accomplish tasks, from driving a car to, yes, identifying a fraudulent transaction. For our purposes, think of machine learning as a way to build analytic models, and AI as the use of those models.
Machine learning helps data scientists efficiently determine which transactions or business behaviours are most likely to be fraudulent, while significantly reducing false positives. The techniques are extremely effective in fraud prevention and detection, as they allow for the automated discovery of patterns across large volumes of streaming transactions or behaviours.
If done properly, machine learning can clearly distinguish legitimate and fraudulent behaviors while adapting over time to new, previously unseen fraud tactics. This can become quite complex as there is a need to interpret patterns in the data and apply data science to continually improve the ability to distinguish normal behavior from abnormal behavior. This requires thousands of computations to be accurately performed in milliseconds.
Without a proper understanding of the domain, as well as fraud-specific data science techniques, you can easily employ machine learning algorithms that learn the wrong thing, resulting in a costly mistake that is difficult to unwind. Just as people can learn bad habits, so too can a poorly architected machine learning model.
Integrating Supervised and Unsupervised AI Models in a Cohesive Strategy
Because organized crime schemes are so sophisticated and quick to adapt, defense strategies based on any single, one-size-fits-all analytic technique will produce sub-par results. Each use case should be supported by expertly crafted anomaly detection techniques that are optimal for the problem at hand. As a result, both supervised and unsupervised models play important roles in fraud detection and must be woven into comprehensive, next- generation fraud strategies.
A supervised model, the most common form of machine learning across all disciplines, is a model that is trained on a rich set of properly “tagged” transactions. Each transaction is tagged as either fraud or non-fraud. The models are trained by ingesting massive amounts of tagged transaction details in order to learn patterns that best reflect legitimate behaviors. When developing a supervised model, the amount of clean, relevant training data is directly correlated with model accuracy.
Unsupervised models are designed to spot anomalous behavior in cases where tagged transaction data is relatively thin or non-existent. In these cases, a form of self-learning must be employed to surface patterns in the data that are invisible to other forms of analytics.
Chart with four boxes of different types of fraud analytics.
Real-time Behavioral Profiles
Machine learning that interprets behaviors of individuals, accounts, merchants, devices, etc.
Supervised Machine learning
Built and tested with billions of legitimate and fraudulent transaction exmplars.
Unsupervised Machine Learning
Self-learning Al that continually retrains to detect outlier transactions and behaviors.
Adaptive Analytics
Continually updates machine iearning models based on fraud analyst feedback.
Unsupervised models are designed to discover outliers that represent previously unseen forms of fraud. These AI-based techniques detect behavior anomalies by identifying transactions that do not conform to the majority. For accuracy, these discrepancies are evaluated at the individual level as well as through sophisticated peer group comparison.
By choosing an optimal blend of supervised and unsupervised AI techniques you can detect previously unseen forms of suspicious behavior while quickly recognizing the more subtle patterns of fraud that have been previously observed across billions of accounts.
WHAT IS BID RIGGING?
Bid rigging occurs when bidders agree among themselves to eliminate competition in the procurement process, thereby denying the public a fair price. Bidders can eliminate competition in public procurement in many simple ways, for example:
- A competitor agrees to submit a non-competitive bid that is too high to be accepted or contains terms that are unacceptable to the buyer.
- A competitor agrees not to bid or to withdraw a bid from consideration.
- A competitor agrees to submit bids only in certain geographic areas or only to certain public organizations.
Although the schemes used by firms to rig bids vary, they all have one thing in common – the bidders agree to eliminate competition so that prices are higher and the government pays more.
TEMEZIS BID RIGGING DETECTOR
We offer the completely unique service to various institutions that want to improve efficency of orders through procurements. Our TEMESIS system is a powerful, self learning data mining system that classifies given tender to a different group of bid rigging risk probability.
The model studies market history, prices, bidders’ behaviour and is capable of finding suspicious relations that can be a sign of collusion. In that way an ordering institution or market controlling organization can postpone signing the contract for delivery and perform anti-market-abuse procedures and checks. TEMEZIS discovers knowledge from the past but helps to detect bid rigging on a very early stage – at the moment of publishing tender results (bids opening). So there is time to do controlling proces before signing the agreement.
DETECTING BID RIGGING IN PUBLIC PROCUREMENT
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Number of tenders analysed
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Total value of tenders analysed (Euro)
RESEARCH & DEVELOPMENT
During last years BIMCO was involved in many R&D projects in the field of construction. We take part in projects that are connected with application of innovative technologies in real estate and construction business. We cooperate with universities, government organizations and private companies in different countries. Currently we work on upgrading solutions that were developed during previous projects, but we also prepare completely new concepts.
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PORTFOLIO
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Projects
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