What if we could have instant access to all the information about a construction site, down to smallest details about every person, tool, and bolt?

What if we could always be sure about the final measurements of a beam or that soil volumes inthe cuts are close to those of the fills?

What if we could always track how fast the supply of materials runs out, and re-order supplies automatically?

What if our AI sends alerts on screen when maintenance is due?

What if we are aware of problems before they become critical?

Our platform is essentially a link between a real world object and its digital representation that is continuously using data from the sensors. This data is used to establish the representation of an existing object in our VR world so that, from one single screen, we interact with the 3d virtualization of every connected asset wherever located in the globe.

Moreover, if the designer has originally determined specific equipment and their usage, our platform will intake all data related to their energy consumption so to always find the best possible balance considering all variables related to season, settings and occupancy.


We can use the model predictive control approach and make decisions based on forward simulation, beginning with the current state of the building.

So we can always analyze different paths of actions and estimate their probabilities and corresponding cost functions in order to select the most optimal decision (or adjustment) for what we should do next.


By reconstructing an as-built state of a building or structure we can compare it with an as-planned execution in Building Information Management and take corresponding actions to correct any deviations.

This is usually done by reconstructing geometry of a building and registering it to the model coordinate systems, which is later compared to an as-planned model on a shape and object level.


Project managers can track and reconstruct steps that led to errors adjusting work schedules accordingly in order to prevent any similar mistakes from occurring.

They can also detect underperformers and fix the cause of the problem planning the necessary changes to the budget and timescale of the whole project.

According to the Construction Industry Institute, about 25% of productive time is wasted on unnecessary movement and handling of
materials. Our technology provides automatic resource allocation monitoring and waste tracking, allowing for a predictive and lean approach to resource management.

Companies would avoid over-allocation dynamically predicting resource requirements on construction sites, thus avoiding the need to move resources over long distances greatly improving time management.


The construction industry is one of the most dangerous sectors in the world.

The real-time site virtual reconstruction allows companies to track people and hazardous places so as to prevent inappropriate behavior, usage of unsafe materials, and activities in hazardous zones.

Early notification, using our advanced AI combined with video cameras and mobile devices combines an extensive safety net letting construction managers know when a field worker is located in dangerous proximity to working equipment and sending a notification about nearby danger to a worker’s wearable device.


Equipment utilization is an important metric that construction firms always want to maximize. Unused machines should be released earlier to the pool so others can use them on other sites where they are needed.

With advanced imaging and automatic tracking, it is possible to know how many times each piece of machinery has been
used, at what part of the construction site, and on what type of the job.

There are tough regulations on how to monitor people presence on a construction site. This includes having a digital record of all personnel and their location within the site, so that this information could be used by rescue teams in case
of emergency. T

This monitoring is another digital plug in offered by our platform.


Due to the complexity of smart cities, and the layering approach, the market scenario traces an ecosystem of vendors, integrators, suppliers and startups with an Open Innovation Business model approach, highlighting the impossibility of a “full liner” game player for this business, and widening the opportunities to many actors.

KonectCity has the unique ability of representing the single access point as a system integrator for all existing technologies, hardware, platforms, database, sensors and more with no restrictions and no boundaries to its scaling capabilities or data processing.

KonectCity  is actually the “full liner” capable of connecting A to Z within a single platform .